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At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity The objective of our Digital Risk Consulting service is to support clients with the development, implementation, improvement, and modernization of their technology risk and compliance programs to address the constantly changing risk and technology landscape. Our solutions can be used by our clients to build confidence and trust with their customers, the overall market, and when required by regulation or contract. Your Key Responsibilities You will operate as a team leader for engagements to help our clients develop and strengthen their IT risk and compliance programs. You will work directly with clients to review their IT processes and controls, remediate and implement controls, onboard new tools and services into risk and compliance frameworks, and assist with the readiness and adherence for new compliance regulations. Your responsibilities include both in-person and remote oversight and coaching of engagement team members, reporting to both senior engagement team members and client leadership, as well as partnering with our key client contacts to complete the engagement work. What You'll Do Designing and implementing solutions to various data related technical/compliance challenges such as DevSecOps, data strategy, data governance, data risks & relevant controls, data testing, data architecture, data platforms, data solution implementation, data quality and data security to manage and mitigate risk. Leveraging data analytics tools/software to build robust and scalable solutions through data analysis and data visualizations using SQL, Python and visualization tools Design and implement comprehensive data analytics strategies to support business decision-making. Collect, clean, and interpret large datasets from multiple sources, ensuring completeness, accuracy and integrity of data. Integrating and/or piloting next-generation technologies such as cloud platforms, machine learning and Generative AI (GenAI) Developing custom scripts and algorithms to automate data processing and analysis to generate insights Applying business / domain knowledge including regulatory requirements and industry standards to solve complex data related challenges Analyzing data to uncover trends and generate insights that can inform business decisions Build and maintain relationships across Engineering, Product, Operations, Internal Audit, external audit and other external stakeholders to drive effective financial risk management. Work with DevSecOps, Security Assurance, Engineering, and Product teams to improve efficiency of control environments and provide risk management through implementation of automation and process improvement Bridge gaps between IT controls and business controls, including ITGCs and automated business controls. Work with IA to ensure complete control environment is managed Work with emerging products to understand risk profile and ensure an appropriate control environment is established Implement new process and controls in response to changes to the business environment, such as new product introduction, changes in accounting standards, internal process changes or reorganization. What You'll Need Experience in data architecture, data management, data engineering, data science or data analytics Experience in building analytical queries and dashboards using SQL, noSQL, Python etc. Proficient in SQL and quantitative analysis, you can deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions Knowledge of tools in the following areas: Scripting and Programming (e.g., Python, SQL, R, Java, Scala, etc.) Big Data Tools (e.g., Hadoop, Hive, Pig, Impala, Mahout, etc.) Data Management (e.g., Informatica, Collibra, SAP, Oracle, IBM etc.) Predictive Analytics (e.g., Python, IBM SPSS, SAS Enterprise Miner, RPL, Matl, etc.) Data Visualization (e.g., Tableau, PowerBI, TIBCO-Spotfire, CliqView, SPSS, etc.) Data Mining (e.g., Microsoft SQL Server, etc.) Cloud Platforms (e.g., AWS, Azure, or Google Cloud) Ability to analyze complex processes to identify potential financial, operational, systems and compliance risks across major finance cycles Ability to assist management with the integration of security practices in the product development lifecycle (DevSecOps) Experience with homegrown applications in a microservices/dev-ops environment Experience with identifying potential security risks in platform environments and developing strategies to mitigate them Experience with SOX readiness assessments and control implementation Knowledge of DevOps practices, CI/CD pipelines, code management and automation tools (e.g., Jenkins, Git, Phab, Artifactory, SonarQube, Selenium, Fortify, Acunetix, Prisma Cloud) Preferred: Experience in: Managing technical data projects Leveraging data analytics tools/software to develop solutions and scripts Developing statistical model tools and techniques Developing and executing data governance frameworks or operating models Identifying data risks and designing and/or implementing appropriate controls Implementation of data quality process Developing data services and solutions in a cloud environment Designing data architecture Analyzing complex data sets & communicating findings effectively Process management experience, including process redesign and optimization Experience in scripting languages (e.g., Python, Bash) Experience in cloud platforms (e.g., AWS, Azure, GCP) and securing cloud-based applications/services To qualify for the role, you must have A bachelor's or master's degree A minimum of 3 years of experience working as an IT risk consultant or data analytics experience. Bring your experience in applying relevant technical knowledge in at least one of the following engagements: (a) risk consulting, (b) financial statement audits; (c) internal or operational audits, (d) IT compliance; and/or (e) Service Organization Controls Reporting engagements. We would expect for you to be available to travel outside of their assigned office location at least 50% of the time, plus commute within the region (where public transportation often is not available). Successful candidates must work in excess of standard hours when necessary. A valid passport is required. Ideally, you’ll also have A bachelor's or master's degree in business, computer science, information systems, informatics, computer engineering, accounting, or a related discipline CISA, CISSP, CISM, CPA or CA certification is desired; non-certified hires are required to become certified to be eligible for promotion to Manager. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

Job title: Data Steward Manager Location: Hyderabad, India About The Job Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to making a difference on patients’ daily life, wherever they live and enabling them to enjoy a healthier life. As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability & interoperability and thus accelerate impact on global health. The R&D Data Office serves as a cornerstone to this effort. Our team is responsible for cross-R&D data strategy, governance, and management. We sit in partnership with Business and Digital, and drive data needs across priority and transformative initiatives across R&D. Team members serve as advisors, leaders, and educators to colleagues and data professionals across the R&D value chain. As an integral team member, you will be responsible for defining how R&D's structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different end users such as scientists, clinicians, and more. You will also be pivotal in the development of sustainable mechanisms for ensuring data are FAIR (findable, accessible, interoperable, and reusable). Position Summary The R&D Data Steward plays a critical role in the intersection between business and data, where stewards will guide business teams on how to unlock value from data. This role will drive definition and documentation of R&D data standards in line with enterprise. Data stewards will place heavily cross-functional roles and must be comfortable with R&D data domains, data policies, and data cataloguing. Main Responsibilities Work in collaboration with R&D Data Office leadership (including the Data Capability and Strategy Leads), business, R&D Digital subject matter experts and other partners to: Understand the data-related needs for various cross-R&D capabilities (E.g., data catalog, data quality, data marketplace, etc.) and associated initiatives Understand the basics of data consolidation process through data mesh architecture and the concept of de-centralised socio-technical approach. Influence, design, and document data governance policies, standards and procedures for R&D data Drive data standard adoption across capabilities and initiatives; manage and maintain quality and integrity of data via data enrichment activities (E.g., cleansing, validating, enhancing etc.) Understand and adopt data management tools such as for data catalogue, data marketplace, and Data Quality using tools from Informatica (CDGC, CDQ, Marketplace and others in their suite of cloud data management products) Maintain documentation and act as an expert on data definitions, data flows, legacy data structures, access rights models, etc. for assigned domain Educate and guide R&D teams on standards and information management principles, methodologies, best practices, etc. Oversee junior data stewards and/or business analysts based on complexity or size of initiatives/functions supported Facilitate communication between business and technical teams to ensure mutual understanding and alignment on data management practices Understanding the comprehensive processes and governance frameworks to ensure data protection and compliance. Deliverables Defines data catalog, data quality, and data products related communication metrics for assigned domains and 1-2 business functions Implements continuous improvement opportunities, such as data management platform improvement opportunities, functional training to stakeholders Accountable for data catalog, data quality, publishing on marketplace and data management activities for assigned domains. Facilitates data issue resolution across various data governance process/ steps Defines business terms and data elements (metadata) according to data standards, and ensures standardization/normalization of business and technical metadata Defines data quality rules by understanding the data and support Digital team in implementation Defines, maintains data governance and data strategy documentation, monitoring data governance performance metrices to identify areas of improvement Identifies and effectively communicates improvement opportunities in existing data management platforms via means, like business testing of an app, business requirements analysis, dashboard analysis, process reviews, etc. Drives change management with business, data and digital (IT) teams Leads working groups to identify data elements, perform root cause and impact analysis, and identify improvements for metadata and data quality Regularly communicates with business stakeholders, data leads, expert data stewards and escalates issues as appropriate About You Experience in Business Data Management, Information Architecture, Technology, or related fields A go-getter who knows how to drive the topics on her/ his own A person who can think 360 degrees to get things done and escalate appropriately Strong soft skills with a willingness to take ownership, demonstrated ability to understand end-to-end data use and needs Knowledge of R&D data domains (e.g., across research, clinical, regulatory, etc.) Solid grasp of data governance practices and track record of implementation Ability to understand data processes and requirements, particularly in R&D, at an enterprise level Demonstrated strong attention to detail, quality, time management and customer focus Excellent written and oral communications skills Strong networking, influencing and negotiating skills and superior problem-solving skills Demonstrated willingness to make decisions and to take responsibility for such Excellent interpersonal skills (team player) ,People management skills either in matrix or direct line function Familiar with data management practices and technologies (e.g., Informatica, Collibra, etc) Familiar with data mesh concept with knowledge of relational databases, especially Snowflake Knowledge of pharma R&D industry regulations and compliance requirements related to data governance Familiarity with data management platforms in the area of catalog, DQ, marketplace, observability, access, etc. Education: Bachelor's in computer science, Business, Engineering, Information Technology Languages: English null Pursue Progress . Discover Extraordinary . Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.

The Data Analytics Sr Lead Analyst is a strategic professional who closely follows the latest trends in the field and adapts them for application within your role and the business. You are part of a select group of individuals within the business who provide the same level of expertise. Excellent communication skills are required for negotiating internally, often at a senior level. You must possess developed communication and diplomacy skills to guide, influence, and convince others, especially colleagues in different areas and occasional external customers. You are accountable for significant direct business results or authoritative advice regarding the operations of the business, with a degree of responsibility over technical strategy. Your role primarily affects a sub-function, and you are responsible for handling staff management issues, including resource management and allocation of work within the team/project. In this role, you will adapt the latest trends in Data Science/Data Mining/Big Data field for application within your role and the business. You will serve as the subject matter expert for strategic data analysis, identifying insights and implications, making strategic recommendations, and developing data displays that clearly communicate complex analysis. Excellent communication skills are essential for negotiating internally at a senior level and leveraging diplomacy to guide, influence, and convince internal and external stakeholders. You will apply ingenuity and creativity to problem analysis and resolution in both complicated and novel contexts, employing sophisticated analytical thought to compare and select complex alternatives, make refined judgments, and provide sound solutions. Consultation on business operations and offering authoritative advice to influence significant business outcomes are part of your responsibilities. You will also be responsible for informing and implementing the sub-function's technical strategy and handling staff management issues, including resource management and allocation of work within the team/project. Qualifications: - 10+ years of relevant experience - Proficiency with Hadoop, Python, Tableau, Collibra, Data Quality, SAS Tools with a strong understanding of Data Governance - Demonstrated leadership skills - Clear and concise written and verbal communication abilities - Stakeholder management skills with the ability to engage with Senior Stakeholders - Interpersonal skills with the ability to partner and influence across organizational lines - Ability to use complex analytical, interpretive, and problem-solving techniques Education: - Bachelors/University degree or equivalent experience, potentially Masters degree Please note that this job description provides a high-level overview of the work performed, and other job-related duties may be assigned as required. If you are a person with a disability and need a reasonable accommodation to use the search tools and/or apply for a career opportunity, please review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.,

>> About KPMG in India KPMG in India, a professional services firm, is the Indian member firm affiliated with KPMG International and was established in September 1993. Our professionals leverage the global network of firms, providing detailed knowledge of local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada. KPMG in India offers services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focussed and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment. Our professionals provide the experience to help companies stay on track and deal with risks that could unhinge their business survival. Our services enable clients to effectively co-ordinate their key growth, quality and operational challenges and working in partnership with us, clients have the benefits of KPMG's experienced, objective, and industry-grounded viewpoints. KPMG Advisory professionals provide advice and assistance to enable companies, intermediaries and public sector bodies to mitigate risk, improve performance, and create value. KPMG firms provide a wide range of Risk Consulting, Management Consulting and Transactions & Restructuring services that can help clients respond to immediate needs as well as put in place the strategies for the longer term. With increasing regulatory requirements, the need for greater transparency in operations, and disclosure norms, stakeholders require assurance beyond the traditional critique of numbers. Hence assurance is being increasingly required on industry issues, business risks and key business processes. The Governance, Risk & Compliance Services practice assists companies and public sector bodies to mitigate risk, improve performance and create value. We assist our clients to effectively manage business and process risks by providing a full spectrum of corporate governance, risk management, and Compliance Services. These services are tailored to meet clients individual needs and provide effective support to management in meeting the challenges and opportunities presented by today's complex business environment. Our professionals provide the experience to help companies stay on track and deal with risks that could unhinge their business survival. Our services enable clients to effectively co-ordinate their key growth, quality and operational challenges and working in partnership with us, clients have the benefits of KPMG's experienced, objective, and industry-grounded viewpoints. Data Governance Consultant/ AM/Manager Role & Responsibilty Lead the design and implementation of the Data Governance framework. Lead maturity assessments for data management/data governance capabilities and identify gaps & recommendations and build implementation roadmaps. Support data management initiatives including setting up and monitoring of data governance programs and coordinating with different teams/business units. Strong understanding of DG Org structure, and roles & responsibilities / RACI (Data Steward, Data Custodian, Data Owner, Producers and Consumers, etc.) Lead the building of Stewardship and Interaction models and ensure clear accountability for data ownership and stewardship. Strong understanding of Data Landscape (data flows, data lineage, CDEs, Data domains etc.) Experience in managing data lineage tools & visualizations to track data movement and transformations across systems Lead the development of data quality rules, identifying data quality issues, and working with stakeholders for remediation planning. Strong skills in data quality management and hands-on experience with data quality tools and techniques. Strong understanding of Metadata Mgmt. and MDM/RDM concepts and processes (creation, curation, update, and change mgmt., etc.) Strong understanding of Data Catalog, Business Glossary and/or Data Dictionary (understands data definitions and associated best practices) Assist in facilitating training sessions and workshops to improve data governance awareness and practices across the organization. Monitor compliance with relevant data regulations (eg: NDMO, GDPR, CCPA) and internal data policies. Knowledge of industry-leading DG tools (Collibra, Alation, etc.) and DQ tools (SAP IS, Informatica/IDQ etc.). Preferably also awareness of MDM tools Having a good understanding of either of one regulatory data management laws the National Data Management Office (NDMO), Abu Dhabi Government Data Management Standard, IT DPDP Act 2023 etc. Strong understanding of Data Risk Taxonomy (Types, Sub-types) QUALIFICATION BE/BTech/MCA/MBA/Masters degree in information management or related field. Good Knowledge of industry standards & regulations around NDMO, SAMA, BCBS239, GDPR, CCPA etc Extensive experience on Informatica tool stack. Data Management certifications (CDMP, DAMA, DCAM etc) >> SELECTION PROCESS Candidates should expect 2 - 3 rounds of personal or telephonic interviews to assess fitment and communication skills >> Compensation Compensation is competitive with industry standards Details of the compensation breakup will be shared with short-listed candidates only >> WoRK Timing Monday to Friday >> People BENEFITS Continuous learning program Driving a culture of recognition through ENCORE our quarterly rewards and recognition program Comprehensive medical insurance coverage for staff and family Expansive general and accidental coverage for staff Executive Health check-up (Manager & above, and for staff above the age of 30) Les Concierge desks Internal & Global Mobility Various other people-friendly initiatives Strong commitment to our Values such as CSR initiatives The opportunity is now! If you are interested please share your resume in sonalidas4@kpmg.com.

The IT Business Senior Analyst is an intermediate-level position responsible for liaising between business users and technologists to exchange information in a concise, logical and understandable way in coordination with the Technology team. The overall objective of this role is to contribute to continuous iterative exploration and investigation of business performance and other measures to gain insight and drive business planning. Responsibilities: Formulate and define systems scope and objectives for complex projects and foster communication between business leaders and IT Consult with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards and recommends solutions Support system change processes from requirements through implementation and provide input based on analysis of information Consult with business clients to determine system functional specifications and provides user and operational support Identify and communicate risks and impacts, considering business implications of the application of technology to the current business environment Act as advisor or coach to new or lower level analysts and work as a team to achieve business objectives, performing other duties and functions as assigned Has the ability to operate with a limited level of direct supervision. Can exercise independence of judgement and autonomy. Acts as SME to senior stakeholders and /or other team members. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 5-8 years of relevant experience Experience in data analysis with intermediate/advanced Microsoft Office Suite skills Proven interpersonal, data analysis, diplomatic, management and prioritization skills Consistently demonstrate clear and concise written and verbal communication Proven ability to manage multiple activities and build/develop working relationships Proven self-motivation to take initiative and master new tasks quickly Demonstrated ability to work under pressure to meet tight deadlines and approach work methodically with attention to detail Education: Bachelor's degree/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. Position Overview: We are seeking an experienced and dynamic IT Business Senior Analyst (Assistant Vice President) to work on initiatives related to Data Governance and Control Codification projects. The ideal candidate should have a strong understanding of data quality , control frameworks , and codification processes , along with extensive knowledge of the banking and finance domain . This role requires a blend of technical expertise, business acumen, and leadership skills to ensure the successful delivery of data governance initiatives. Key Responsibilities: Senior Analyst in Data Governance and Control Codification projects, ensuring alignment with organizational goals and regulatory requirements. Define and implement data quality frameworks, standards, and processes to ensure the accuracy, consistency, and reliability of data. Collaborate with cross-functional teams to identify, document, and codify controls for critical data elements. Work closely with stakeholders to understand business requirements and translate them into actionable technical solutions. Ensure compliance with data governance policies, regulatory standards, and industry best practices. Drive the adoption of data governance tools and technologies to enhance data quality and control processes. Provide subject matter expertise in banking and finance, ensuring that data governance initiatives align with industry-specific requirements. Monitor and report on the effectiveness of data governance and control frameworks, identifying areas for improvement. Mentor and guide team members, fostering a culture of accountability and continuous improvement. Required Skills and Qualifications: 8+ years of experience in IT Business Analysis, with a focus on Data Governance, Data Quality, and Control Codification. Strong understanding of data quality frameworks, data lineage, and metadata management. Experience in the banking and finance domain, with knowledge of regulatory requirements and industry standards. Proficiency in data governance tools (e.g., Collibra, Informatica, or similar) and data quality tools. Strong analytical and problem-solving skills, with the ability to work with large datasets and complex systems. Excellent communication and stakeholder management skills, with the ability to bridge the gap between technical and business teams. Bachelor's or Master's degree in Computer Science, Information Systems, Finance, or a related field. Preferred Qualifications: Experience with control frameworks such as COSO, COBIT, or similar. Knowledge of data privacy regulations (e.g., GDPR, CCPA) and their impact on data governance. Familiarity with data visualization tools (e.g., Tableau, Power BI) for reporting and analysis. Certifications in data governance or related fields (e.g., CDMP, DGSP). ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Business Analysis / Client Services ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Job Title: Data Steward Location: Pune/Hyderabad Job Type: Fulltime Years of Experience – 5-7 years Job Summary: We are seeking a Data Steward to support enterprise data initiatives by ensuring the accuracy, completeness, and quality of data pipelines across data platforms. The ideal candidate will bring strong expertise in data quality practices, and data management principles to help establish trusted data foundations that drive business intelligence, analytics, and operational reporting. This role will be a critical part of our data team, to support data governance efforts, and enhance our data architecture. Key Responsibilities: Serve as business and technical steward for assigned data domains. Create & Maintain metadata, business glossary, and data catalog entries in DG Tools like Collibra, Altion, Informatica or similar. Work with data owners to enforce data definitions, classifications, and data quality rules. Perform data profiling, issue identification, and remediation coordination. Support the onboarding of new data assets (cataloging, lineage, and stewardship assignments). Assist in governance tool configuration, workflow management, and integration automation. Collaborate with engineering teams to support PII tagging, data masking, and access governance. Provide training and support to business users in using governance tools effectively. Deploy the master data governance framework and use the supporting data management tools. Define data quality metrics and monitor data quality performance against established targets. Conduct regular data governance reviews and provide recommendations for process improvements. Ensure data accuracy, consistency, and integrity Implement and monitor data quality rules, validation checks, and exception handling. Collaborate with teams to align data delivery with business and reporting requirements. Document data processes, standards, and lineage to support governance and compliance. Qualifications: 5+ years of experience in Data Governance, Operations of Data Governance Hands-on experience with Collibra (catalog, lineage, workflows, API integrations) . Experience with data management tools (e.g., data catalogs, MDM systems, data quality platforms). Strong understanding of data quality, metadata management, and data classification practices . Technical skills in SQL, Python/Java, REST APIs for tool integration and automation. Familiarity with Google cloud platform (GCP) will be a plus Excellent communication and ability to liaise between business users and technical teams .

The Macquarie Asset Management (MAM) Finance team is a global function that manages financial reporting, accounting, and balance sheet activities to support strategic decision-making and ensure regulatory compliance. We deliver accurate financial insights and drive operational efficiency to support the growth of Macquarie Asset Management. At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You’ll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes. What role will you play? In this role, you drive data quality and data lineage initiatives across domains by developing and reviewing business and technical rules for critical data elements (CDEs). You will collaborate with data stewards and group data Office teams to document requirements, conduct data profiling, and implement effective business rules. Additionally, you will deliver data-driven regulatory changes and ensure accurate data lineage for CDEs and regulatory reports (APRA, PRA). What you offer Minimum 5 years’ experience in data and information management within financial services, with hands-on expertise in data quality, lineage, and critical data element (CDE) identification Proficient in data governance tools (preferably Collibra), SQL, and data visualisation platforms such as Power BI or Tableau Strong understanding of financial management disciplines in large, complex organisations Demonstrated ability to engage stakeholders, translate abstract requirements, and prioritize effectively Excellent communication, problem-solving, and collaborative skills, with a proactive and independent work approach We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply. What we offer At Macquarie, you’re empowered to shape a career that’s rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include: 1 wellbeing leave day per year 26 weeks’ paid maternity leave or 20 weeks’ paid parental leave for primary caregivers along with 12 days of paid transition leave upon return to work and 6 weeks’ paid leave for secondary caregivers Company-subsidised childcare services 2 days of paid volunteer leave and donation matching Benefits to support your physical, mental and financial wellbeing including comprehensive medical and life insurance cover, the option to join parental medical insurance plan and virtual medical consultations extended to family members Access to our Employee Assistance Program, a robust behavioural health network with counselling and coaching services Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription Hybrid and flexible working arrangements, dependent on role Reimbursement for work from home equipment About Financial Management, People and Engagement Financial Management, People and Engagement (FPE) provides a single interface for Macquarie’s businesses across key areas of people, strategy, communications and financial management. Comprising two pillars – Financial Management, and People and Engagement – it is responsible for managing the Group’s financial, tax and treasury activities and strategic priorities, fostering our culture through people and community engagement strategies, and engaging with stakeholders to protect and promote Macquarie’s reputation globally. Our commitment to diversity, equity and inclusion We are committed to fostering a diverse, equitable and inclusive workplace. We encourage people from all backgrounds to apply and welcome all identities, including race, ethnicity, cultural identity, nationality, gender (including gender identity or expression), age, sexual orientation, marital or partnership status, parental, caregiving or family status, neurodiversity, religion or belief, disability, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process. Our aim is to provide reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know in the application process.

Data Engineer with Collibra Data Governance 5+ years of experience Work from Office 5 days a week Work Location: Indore, Hyderabad and Pune Job Type: Contractual / Temporary Contract length: 24 months Benefits: Health insurance Provident Fund Work Location: In person

Architect and Senior Architect - Data Governance Chennai, Bangalore, Hyderabad Who we are Tiger Analytics is a global leader in Data, AI, and Analytics, helping Fortune 500 companies solve their most complex business challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 5000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. Many of our team leaders rank in Top 10 and 40 Under 40 lists, exemplifying our dedication to innovation and excellence. In recognition of its exceptional workplace culture, industry impact, and leadership in AI strategy, Tiger Analytics has received multiple prestigious accolades in 2025, including the 3AI Pinnacle Award, India's Best Workplaces (2024-2025), WOW Workplaces of 2025, and the Leading GenAI Service Provider title at the GenAI Conclave 2025. The firm was also celebrated as a High-Performance Culture Curator at Darwin Unboxed 2025 and honored with the Minsky Award for Excellence in AI Strategy Consulting. Job Description As a Data Governance Architect, your work is a combination of hands-on contribution, customer engagement, and technical team management including assisting in getting new business. Overall, you'll design, architect, deploy, and maintain big data-based data governance solutions. More specifically, this will involve: Technical management across the full life cycle of data(structured/semi-sturctured/unstructured)-based data governance projects from requirement gathering and analysis to platform selection, design of the architecture, and deployment. Scaling the solution in a cloud-based infrastructure or a non-cloud option and any custom configurations thereof. Collaborating with business consultants, analysts, data scientists, senior data engineers, and developers to develop data solutions. Exploring new technologies for creative business problem-solving and assisting in generating net new business Leading and mentoring a team of data governance engineers What do we expect? 10+ years of overall technical experience with any knowledge on technology around Python/GenAI (a plus) 5+ years in in any Data Governance tool Solutions/implementations. can be alation/collibra/atlan/purview/unity catalog/others Hands-on experience with Data Governance Solutions with a good understanding of the below Data Catalog Business Glossary Business metadata, technical metadata, operational Metadata Data Quality (IDQ/Anomalo/iceDQ/custom DQ APIs) Data Profiling Data Lineage Automation on any of the above Expertise And Qualification Hands-on experience with the following technologies: awareness of working on a Azure/GCP/AWS environment(s) Monte Carlo, Anomalo, Atlan, Collibra, Alation, IDQ, IDMC (CDQ & CDGC), Ataccama, Immuta, Unity catalog, Securiti.ai, Relevant Azure AWS/GCP components required to build data solutions Good to know: Databricks, Snowflake, Familiarity working with: Designing/building large cloud-computing infrastructure solutions (in Azure/AWS/GCP) Data Quality, Governance, metadata management (incl. catalog and lineage) design and implementation Full life cycle of a data governance solution Installation and admin of any of the tools above (a Plus) experience in building monitoring, dashboards debugging, and performance tuning You are important to us, let’s stay connected! Every individual comes with a different set of skills and qualities so even if you don’t tick all the boxes for the role today we urge you to apply as there might be a suitable/unique role for you tomorrow. We are an equal- opportunity employer. Our diverse and inclusive culture and values guide us to listen, trust, respect, and encouragepeople to grow the way they desire, packages are among the best in industry. Note: Thedesignation will be commensurate with expertise and experience. Compensation packages are among the bestin the industry. Additional Benefits: Health insurance (self & family),virtual wellness platform, Car Lease Program and knowledge communities.

We are looking for a Senior Product Manager with Data Governance Experience to lead data quality, governance, and compliance within our BI Reporting Team. You will establish governance frameworks, ensure high data standards, and enhance data accuracy, security, and accessibility. Key Responsibilities Develop and implement data governance policies, standards, and processes to ensure data integrity, quality, and security. Collaborate with cross-functional teams to embed governance best practices into data pipelines, analytics, and BI reporting. Define and monitor data quality metrics and KPIs Setup data catalogs, classification, and metadata management for enhanced discoverability and compliance. Partner with IT, Security, and Compliance teams to ensure regulatory and policy adherence (e.g., GDPR, HIPAA). Leverage tools and technologies like SQL, Pandas Profiling , and Python to enhance data quality and governance workflows. Act as a subject matter expert on data governance strategies and tools. Skills and Experience Bachelor’s/Master’s degree in Data Science, Information Management, Computer Science, or a related field. 5+ years of experience in data governance, data quality management, or BI reporting roles. Knowledge of data governance tools such as Collibra, OpenMetadata, DataHub , and Informatica . Proficiency in SQL , with hands-on experience in data profiling tools (e.g., Pandas Profiling). Strong understanding of data lifecycle management, privacy laws, and compliance frameworks. Excellent leadership, communication, and stakeholder management skills. Analytical mindset with experience in measuring and reporting on data quality KPIs. Why Join Us Be part of a dynamic BI team driving data excellence across the organization. Opportunities for professional growth and upskilling in emerging data technologies. A collaborative environment that values innovation and transparency. Perks and Benefits Competitive compensation Generous stock options Medical Insurance coverage Work with some of the brightest minds from Silicon Valley’s most dominant and successful Companies

The Analyst-Data governance role within the Data & Analytics department in Mumbai involves implementing a data governance framework to enhance data quality, standards, metrics, and processes. The primary objective is to align data management practices with regulatory requirements and gain an understanding of data lineage within the Bank's business process and systems. Responsibilities include designing and executing data quality rules and monitoring mechanisms, analyzing data quality issues in collaboration with business stakeholders, building recovery models across the Enterprise, and utilizing DG technologies for data quality and metadata management such as Ovaledge, Talend, and Collibra. Additionally, the role involves supporting the development of Centralized Metadata repositories including business glossaries, technical metadata, capturing business/data quality rules, and designing data quality reports and dashboards. The ideal candidate should possess a minimum of 1 to 2 years of experience in Data governance. Key success metrics for this role include the successful implementation of the Data Quality framework across business lines.,

The Data Quality Intermediate Analyst is responsible for delivering subject matter and industry expertise across the enterprise in coordination with the Data Quality team. This role deals with most problems independently and has some latitude to solve complex problems. Integrates in-depth specialty area knowledge with a solid understanding of industry standards and practices. Good understanding of how the team and area integrate with others in accomplishing the objectives of the subfunction/ job family. Responsibilities: Partners with business teams to develop process improvements, solutions, and streamline operational workflows Applies professional judgment and attention to detail when interpreting data and results based on the analysis of information May occasionally provide informal guidance or on the job training to new or lower-level team members Communicates with tact and diplomacy to exchange potentially complex/sensitive information with project stake holders or internal parties Works and coordinates with a multidisciplinary group of business leads, operations managers, and technologists Conduct root cause analysis and dispositioning of data quality scorecard exceptions Report Data Quality issues through the Data Concern Remediation Management process Defines detailed business data requirements and documenting them Appropriately assess risk when business decisions are made, demonstrating consideration for the firm’s reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable rules, laws, and regulations, adhering to Policy, applying sound ethical judgement regarding personal behaviour, conduct and business practices, and escalating managing and reporting control issues with transparency Qualifications: 5+ years’ Experience with defining and implementing Data Quality programs; Banking or Finance industry preferred Proficient in the use of basic Microsoft applications (Word, Excel, PowerPoint) Strong analytical skills and attention to detail Working knowledge of Collibra and other Data Governance industry standard tools Working knowledge of Tableau (report consumer, developer, etc.) Demonstrated understanding of Database structures Flexible, team-oriented and have good interpersonal skills Ability to work independently and as part of a team Excellent written and verbal communication skills Education: Bachelor's/University degree or equivalent experience ------------------------------------------------------ Job Family Group: Data Governance ------------------------------------------------------ Job Family: Data Quality & Data Quality Analytics and Reporting ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Change Management, Data Analysis, Data Governance, Data Lineage, Data Management, Data Quality, Internal Controls, Management Reporting, Program Management, Risk Management. ------------------------------------------------------ Other Relevant Skills Data Quality Management. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

The Macquarie Asset Management (MAM) Finance team is a global function that manages financial reporting, accounting, and balance sheet activities to support strategic decision-making and ensure regulatory compliance. We deliver accurate financial insights and drive operational efficiency to support the growth of Macquarie Asset Management. At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You’ll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes. What role will you play? In this role, you drive data quality and data lineage initiatives across domains by developing and reviewing business and technical rules for critical data elements (CDEs). You will collaborate with data stewards and group data Office teams to document requirements, conduct data profiling, and implement effective business rules. Additionally, you will deliver data-driven regulatory changes and ensure accurate data lineage for CDEs and regulatory reports (APRA, PRA). What You Offer Minimum 5 years’ experience in data and information management within financial services, with hands-on expertise in data quality, lineage, and critical data element (CDE) identification Proficient in data governance tools (preferably Collibra), SQL, and data visualisation platforms such as Power BI or Tableau Strong understanding of financial management disciplines in large, complex organisations Demonstrated ability to engage stakeholders, translate abstract requirements, and prioritize effectively Excellent communication, problem-solving, and collaborative skills, with a proactive and independent work approach We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply. What We Offer Benefits At Macquarie, you’re empowered to shape a career that’s rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include: 1 wellbeing leave day per year 26 weeks’ paid maternity leave or 20 weeks’ paid parental leave for primary caregivers along with 12 days of paid transition leave upon return to work and 6 weeks’ paid leave for secondary caregivers Company-subsidised childcare services 2 days of paid volunteer leave and donation matching Benefits to support your physical, mental and financial wellbeing including comprehensive medical and life insurance cover, the option to join parental medical insurance plan and virtual medical consultations extended to family members Access to our Employee Assistance Program, a robust behavioural health network with counselling and coaching services Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription Hybrid and flexible working arrangements, dependent on role Reimbursement for work from home equipment About Financial Management, People and Engagement Financial Management, People and Engagement (FPE) provides a single interface for Macquarie’s businesses across key areas of people, strategy, communications and financial management. Comprising two pillars – Financial Management, and People and Engagement – it is responsible for managing the Group’s financial, tax and treasury activities and strategic priorities, fostering our culture through people and community engagement strategies, and engaging with stakeholders to protect and promote Macquarie’s reputation globally. Our commitment to diversity, equity and inclusion We are committed to fostering a diverse, equitable and inclusive workplace. We encourage people from all backgrounds to apply and welcome all identities, including race, ethnicity, cultural identity, nationality, gender (including gender identity or expression), age, sexual orientation, marital or partnership status, parental, caregiving or family status, neurodiversity, religion or belief, disability, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process. Our aim is to provide reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know in the application process.

Entity: Finance Job Family Group: Finance Group Job Description: We are a global energy business involved in every aspect of the energy system. We are working towards delivering light, heat, and mobility to millions of people every day. We are one of the very few companies equipped to solve some of the big sophisticated challenges that matter for the future. We have a real contribution to make to the world's ambition of a low-carbon future. Join us and chip in what we can accomplish together. You can participate in our new ambition to become a net zero company by 2050 or sooner and help the world get to net zero. Would you like to discover how our diverse, hardworking people are leading the way in making energy cleaner and better – and how you can play your part in our elite team? Join our Finance Team and advance your career as a Data Governance Lead Job Purpose: The role of Data Governance Lead is a key position within the FDO’s Data Management team. This role will help in Driving the data governance framework and develop a culture of data accountability across all data domains. The role is Responsible for the execution of the data governance agenda including data definition, data ownership, data standards, data remediation and master data governance processes across Finance. The data governance senior analyst is Encouraged to work closely with the business teams as well as the data quality and data cleansing team to compose high quality, trusted and discoverable data assets for bp. Key Accountabilities: Data governance framework: Demonstrate deep understanding of the data governance framework and play a key SME role supporting the Data Governance manager in crafting processes for consistent implementation. Proven knowledge of data governance concepts around data definition and catalog, data ownership, data lineage, data policies and controls, data monitoring and data governance forums Experience of working on data management tools such as Alation, Collibra etc Data definition and data glossary: Partner with the business and program team teams to detail business data glossary for assigned domain by bringing together data definitions, data standards, data lineage, data quality rules and important metrics. Ensure the data glossary always remains up to date by following an exacting change governance. Data ownership and stewardship: Ensure smooth onboarding for data owners and data stewards by providing them vital trainings to carry out their role optimally. Engage with them on a periodic basis to provide progress updates and to seek support to eliminate impediments if any. Extensive knowledge on SAP Finance master and Supplier master Data by understanding integration with upstream and downstream legacy systems. Demonstrate deep understanding of the data governance framework and play a key SME role supporting the Data Governance manager in crafting processes for consistent implementation Data Policies: Ensure alignment to policies related to data privacy, data lifecycle management and data quality management for the assigned data asset Collaboration and Communication: Build a rapport with business participants, technology team, program team and wider digital solution and transformation team to see opportunities and areas to make a difference through the implementation of data governance framework. Experience and Qualification: 8+yrs consistent track record predominantly in data related disciplines such as data governance and Data analyst in oil and gas or financial services domain Knowledge of data governance concepts around data definition and catalog, data ownership, data lineage, data policies and controls, data monitoring and data governance forums Deep knowledge of SAP ERP master data’s and associated data structures Must have chipped in to large, multi-year ground-breaking change across multiple geographies across multiple data domains Comfortable to engage with senior partners and chair meetings/trainings related to data governance Experience of working on data management tools such as Alation, Collibra etc We are an equal opportunity employer and value diversity at our company! We do not discriminate based on race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation . Travel Requirement No travel is expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is a hybrid of office/remote working Skills: Accounting Processes and Financial Systems, Analytical Thinking, Analytics, Business process control, Business process improvement, Commercial Acumen, Customer centric thinking, Digital Automation, Digital Fluency, Financial Reporting, Internal control and compliance, Stakeholder Engagement Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Job summary Entity: Finance Job Family Group: Finance Group Job Description: We are a global energy business involved in every aspect of the energy system. We are working towards delivering light, heat, and mobility to millions of people every day. We are one of the very few companies equipped to solve some of the big sophisticated challenges that matter for the future. We have a real contribution to make to the world's ambition of a low-carbon future. Join us and chip in what we can accomplish together. You can participate in our new ambition to become a net zero company by 2050 or sooner and help the world get to net zero. Would you like to discover how our diverse, hardworking people are leading the way in making energy cleaner and better – and how you can play your part in our elite team? Join our Finance Team and advance your career as a Data Governance Lead Job Purpose: The role of Data Governance Lead is a key position within the FDO’s Data Management team. This role will help in Driving the data governance framework and develop a culture of data accountability across all data domains. The role is Responsible for the execution of the data governance agenda including data definition, data ownership, data standards, data remediation and master data governance processes across Finance. The data governance senior analyst is Encouraged to work closely with the business teams as well as the data quality and data cleansing team to compose high quality, trusted and discoverable data assets for bp. Key Accountabilities: Data governance framework: Demonstrate deep understanding of the data governance framework and play a key SME role supporting the Data Governance manager in crafting processes for consistent implementation. Proven knowledge of data governance concepts around data definition and catalog, data ownership, data lineage, data policies and controls, data monitoring and data governance forums Experience of working on data management tools such as Alation, Collibra etc Data definition and data glossary: Partner with the business and program team teams to detail business data glossary for assigned domain by bringing together data definitions, data standards, data lineage, data quality rules and important metrics. Ensure the data glossary always remains up to date by following an exacting change governance. Data ownership and stewardship: Ensure smooth onboarding for data owners and data stewards by providing them vital trainings to carry out their role optimally. Engage with them on a periodic basis to provide progress updates and to seek support to eliminate impediments if any. Extensive knowledge on SAP Finance master and Supplier master Data by understanding integration with upstream and downstream legacy systems. Demonstrate deep understanding of the data governance framework and play a key SME role supporting the Data Governance manager in crafting processes for consistent implementation Data Policies: Ensure alignment to policies related to data privacy, data lifecycle management and data quality management for the assigned data asset Collaboration and Communication: Build a rapport with business participants, technology team, program team and wider digital solution and transformation team to see opportunities and areas to make a difference through the implementation of data governance framework. Experience and Qualification: 8+yrs consistent track record predominantly in data related disciplines such as data governance and Data analyst in oil and gas or financial services domain Knowledge of data governance concepts around data definition and catalog, data ownership, data lineage, data policies and controls, data monitoring and data governance forums Deep knowledge of SAP ERP master data’s and associated data structures Must have chipped in to large, multi-year ground-breaking change across multiple geographies across multiple data domains Comfortable to engage with senior partners and chair meetings/trainings related to data governance Experience of working on data management tools such as Alation, Collibra etc We are an equal opportunity employer and value diversity at our company! We do not discriminate based on race, religion, colour, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation . Travel Requirement No travel is expected with this role Relocation Assistance: This role is eligible for relocation within country Remote Type: This position is a hybrid of office/remote working Skills: Accounting Processes and Financial Systems, Analytical Thinking, Analytics, Business process control, Business process improvement, Commercial Acumen, Customer centric thinking, Digital Automation, Digital Fluency, Financial Reporting, Internal control and compliance, Stakeholder Engagement Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

At Curriculum Associates, we believe in the potential of every child and are changing the face of education technology with award-winning learning programs like i-Ready that serve a third of the nation’s K–8 students. For more than 50 years, our commitment to making classrooms better places, serving educators, and supporting accessible learning experiences for all students has driven the continuous improvement of our innovative programs. Our team of more than 2,500 employees is composed of lifelong learners who stand behind this mission, working tirelessly to serve the educational community with world-class programs and support every day. Job Summary: We are looking for an experienced and technically proficient Principal Data Governance Analyst with 6-8 years of experience in data governance, data quality, and data analysis. The ideal candidate will have strong hands-on expertise in Python/R and SQL, and a proven track record of implementing data governance frameworks, improving data quality, and enabling data-driven decision-making across the organization. Key Responsibilities: Design, implement, and maintain data governance frameworks, policies, and standards. Lead data quality initiatives including profiling, cleansing, validation, and monitoring of enterprise data assets. Collaborate with business and technical stakeholders to define data ownership, stewardship, and metadata management practices. Develop and maintain data dictionaries, glossaries, and lineage documentation. Use Python/R and SQL to perform data analysis, automate data quality checks, and generate insights. Identify and resolve data issues, ensuring alignment with business rules and regulatory requirements. Support compliance with data privacy and protection regulations (e.g., GDPR, HIPAA). Contribute to the selection and implementation of data governance and data quality tools. Provide training and support to data stewards and business users on governance best practices. Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Management, or a related field. 6-8 years of experience in data governance, data quality, and data analysis roles. Strong programming skills in Python for data manipulation, automation, and reporting. Advanced SQL skills for querying, profiling, and transforming data. Hands-on experience with Power BI for data visualization and reporting. Experience with data governance tools (e.g., Collibra, Informatica, Alation). Excellent analytical, problem-solving, and communication skills. Preferred Skills: Certification in Data Governance or Data Management (e.g., DAMA, DCAM). Experience in regulated industries such as finance, healthcare, or telecom. Familiarity with data visualization tools (e.g., Power BI, Tableau). Knowledge of data architecture and data modeling principles. Curriculum Associates, LLC is an equal opportunity employer. Curriculum Associates will not discriminate against any employee or applicant for employment based on any legally-recognized basis, including, but not limited to: race (including ancestry, national origin, ethnic characteristics, interracial marriage or association, and traits historically associated with race such as hair texture and protective hairstyles), color, religion and creed (including all aspects of religious observance, practice and belief), sex (including pregnancy, lactation, childbirth or related medical conditions, breastfeeding, sex assigned at birth, difference of sex development and variations of sex characteristics), affectional or sexual orientation, gender identity or expression, age, citizenship or immigration status, physical or mental disability, genetic information (including testing and characteristics), veteran or uniformed servicemember status or any other status protected by federal, state or local law. If you need special assistance or an accommodation for a disability in order to apply for a posted position, please contact our People and Culture department at people@cainc.com for US based job postings. Contact people-india@cainc.com for India job postings. US-based Candidates: Curriculum Associates uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit: https://www.e-verify.gov/employees/employee-rights-and-responsibilities Information that you provide when applying for employment with Curriculum Associates, LLC may be subject to the California Privacy Rights Act.

Role Description Role Proficiency: Resolve L1 Incident and service requests within agreed SLA Outcomes 1) Monitor customer infrastructure using tools or defined SOPs to identify failures and mitigate the same by raising tickets with defined priority and severity2) Update SOP with updated troubleshooting instructions and process changes3) Mentor new team members in understanding customer infrastructure and processes4) Perform analysis for driving incident reduction5) Resolve L1 incidents and service requests Measures Of Outcomes 1) SLA Adherence2) Compliance towards runbook based troubleshooting process3) Time bound elevations and routing of tickets – OLA Adherence4) Schedule Adherence in managing ticket backlogs5) # of NCs in internal/external audits6) Number of KB changes suggested7) Production readiness of new joiners within agreed timeline by one-on-one mentorship8) % Completion of all mandatory training requirements9) Number of tickets reduced by analysis 10) Number of installation SR handled for endpoints / change tasks completed for infrastructure 11) Number of L1 tickets closed Monitoring Outputs Expected: Understand Priority and Severity based on ITIL practice. Understand agreed SLA with customer and adhere. Repetitive analysis for finding high ticket generating Cis. Adhere to ITIL best practices Runbook Reference/Change Follow runbook for troubleshooting record troubleshooting steps and provide inputs for runbook changes. Escalation/Elevation/Routing Of Tickets Escalate within organization/customer peer in case of resolution delay. Understand OLA between delivery layers (L1 L2 L3 etc) adhere to OLA route the tickets to relevant queue initiate intimation respective teams/customer based on defiled process. Tickets Backlog/Resolution Follow up on tickets based on agreed timelines manage ticket backlogs/last activity as per defined process. Resolve incidents and SRs within agreed timelines. Execute change tasks for infrastructure. Collaboration Collaborate with different towers of delivery for ticket resolution (within SLA) document learnings for self-reference. Close/resole L1 tickets with help from respective tower. Actively participate in team/organization-wide initiatives. Installation Install software software/tools and patches Stakeholder Management Lead the customer and vendor calls. Organize meetings with different stake holders. Participate in RCA meetings. Process Adherence Thorough understanding of organization and customer defined process. Consult with mentor when in doubt. Adherence to defined processes. Adhere to organization’ s policies and business conduct. Training On time completion of all mandatory training requirements of organization and customer. Provide On floor training and one-on-one mentorship for new joiners. Performance Management Update FAST Goals in NorthStar track report and seek continues feedback from peers and manager. Set goals and provide feedback for mentees. Assist new team members to understand the customer environment. Skill Examples 1) Good communication skills (Written verbal and email etiquette) to interact with different teams and customers2) Networking:a. Good in Monitoring tools and Device back up schedulingb. Basic DHCP and DNS configuration in routers and switchesc. Basic troubleshooting skills in ‘show ip route’ ‘sh mac address-table’ etcd. Static and dynamic IP routing protocols basics3) Server:a. Basic to intermediate powershell / BASH/Python scripting skillsb. Manual patch of QA serverc. Analyse space s from a server and engage Capacity Mgmt. team for disc expansion4) Storage and Back upa. Ability to handle Storage and Backup issues independentlyb. Ability to handle Vendor management Device management Storage array managementc. Perform Hardware upgrades firmware upgrades Vulnerability remediationd. Ticket analysis Storage and backup Performance management various trouble shootings5) Database:a. Patching and upgrading the DB server and application toolsb. Tweak queries making them run as fast as possiblec. Logical and Physical Schema design (indexing constraints partitioning etc.)d. Ability to visualize debug the end-to-end flow of business transaction model and applicationse. DB migration export/import Knowledge Examples Fair understanding of customer infrastructure ability to co-relate failures 2) Monitoring knowledge in infrastructure tools3) Networkinga. IP addressing and Subnetting knowledgeb. Preferably certified in Cisco's basic certification trackc. IOS upgradation knowledge and IOS patching knowledge4) Servera. Intermediate level knowledge in active directory DNS DHCP DFS IIS patch managementb. Strong knowledge in backup tools such as Veritas/Commvault/Windows backup storage concepts etcc. Strong Virtualization and basic cloud knowledged. AD group policy management group policy tools and troubleshooting GPO se. Basic AD object creation DNS concepts DHCP DFSf. Knowledge with tools like SCCM SCOM administration5) Storage and Backupa. In depth knowledge in Storage & Backup technology Storage allocation and reclamation Backup policy creation and managementb. Strong knowledge in server Network and virtualization technologies6) Toola. Knowledge in Infrastructure and application technologiesb. Understanding of monitoring concepts and processc. Understanding of key network monitoring protocols including SNMP NetFlow WMI syslog etcd. Knowledge in administration of tools like SCOM Solarwinds CA UIM Nagios ServiceNow etc7) Monitoringa. Good understanding of networking concepts and protocolsb. Knowledge in Server backup storage technologiesc. Desirable to have knowledge in SQL scriptingd. Knowledge in ITIL process8) Database:a. Knowledge of Database security9) Quality Analysisa. Exposure to FMEA audit practicesb. Exposure to technology/processes as per audit requirements.10) Working knowledge of MS Excel Word PPT Outlook etc. Additional Comments # Areas 1 Data Architecture & Modelling Designed or worked with data models for any domain data Understanding of data normalization vs. denormalization Previous experience with conceptual, logical, and physical data models Have you contributed to designing curated or semantic data layers 2 Technical Skills Comfort level in writing and optimizing SQL queries and Python script Worked with Databricks or Spark-based platforms for data processing Experience with PySpark transformations or data pipelines for Databricks Unity Catalog tables Developed or supported backend queries/models for Power BI reports Experience in building or consuming APIs endpoints Experience with Data catalog or governance tools (Collibra) Exposure to data visualization platforms (Power BI, Tableau) 3 Soft Skills and Domain Experience collaboration with cross-functional teams (engineers, architects, governance leads) Worked with metadata, lineage, or classification in your projects Exposure to cybersecurity data (logs, assets, vulnerabilities, etc.) Have you supported reporting or compliance initiatives in any domain 4 Education and experience 5+ years in data engineering and minimum 3 years experience in Databricks( notebook,unity catalog), Pyspark/Spark & Mysql Bachelors/Masters degree in engineering, Computer science or related background 5 Candidates Availability Candidate is available to join within 0-15 days Candidate is available to join within 15-30 days Flexibility to work from Hyderabad location Good to Have 6 Experience & Knowledge Certifications in Databricks, or cloud platforms Broad knowledge of cybersecurity principles and disciplines Knowledge of ML pipelines or advanced analytics using Databricks. Skills Databricks,Pyspark,Etl,Mysql

ZS is a place where passion changes lives. As a management consulting and technology firm focused on improving life and how we live it, our most valuable asset is our people. Here you’ll work side-by-side with a powerful collective of thinkers and experts shaping life-changing solutions for patients, caregivers and consumers, worldwide. ZSers drive impact by bringing a client first mentality to each and every engagement. We partner collaboratively with our clients to develop custom solutions and technology products that create value and deliver company results across critical areas of their business. Bring your curiosity for learning; bold ideas; courage and passion to drive life-changing impact to ZS. Our most valuable asset is our people . At ZS we honor the visible and invisible elements of our identities, personal experiences and belief systems—the ones that comprise us as individuals, shape who we are and make us unique. We believe your personal interests, identities, and desire to learn are part of your success here. Learn more about our diversity, equity, and inclusion efforts and the networks ZS supports to assist our ZSers in cultivating community spaces, obtaining the resources they need to thrive, and sharing the messages they are passionate about. Information Protection Analyst ( Data Governance) We are looking for a motivated and detail-oriented Information Protection Analyst ( Data Governance team) to support the implementation and ongoing management of our data governance framework. This role focuses on operationalizing governance policies, maintaining data quality, supporting data classification and discovery efforts, and partnering with cross-functional teams to ensure data is well-managed, secure, and compliant. The Data Governance Analyst plays a key role in data stewardship, monitoring data governance processes, and assisting with tool administration to promote trusted and governed data across the organization. What You'll Do: Support the implementation and enforcement of data governance policies, standards, and procedures. Assist in data discovery, classification, and cataloging efforts using data governance and DSPM tools. Monitor and report on data quality metrics, compliance adherence, and data stewardship activities. Assist in maintaining and updating data inventories, metadata repositories, and lineage documentation. Collaborate with data owners, stewards, and IT teams to address data governance issues and remediation. Participate in data risk assessments, control testing, and regulatory compliance audits. Help manage governance tool configurations, user access, and workflow automation. Provide training and support to data steward teams and end-users on governance principles and tool usage. Support the preparation of regular data governance status reports and dashboards for leadership. What You'll Bring: Bachelor’s degree in Data Management, Computer Science, Information Systems, Business, or related field. 2+ years of experience in data governance, data quality, data management, or related operational roles. Familiarity with data governance frameworks, data cataloging, or metadata management concepts. Hands-on experience with one or more data governance, catalog, or data quality tools (e.g., Collibra, Informatica, Alation, Talend, BigID). Understanding of data privacy regulations (such as GDPR, CCPA, HIPAA) and data security basics. Strong analytical skills with attention to detail and problem-solving capabilities. Excellent communication skills with the ability to work collaboratively across teams. Familiarity with cloud platforms (AWS, Azure, GCP) and data architecture is a plus. How you’ll grow: Cross-functional skills development & custom learning pathways Milestone training programs aligned to career progression opportunities Internal mobility paths that empower growth via s-curves, individual contribution and role expansions Perks & Benefits: ZS offers a comprehensive total rewards package including health and well-being, financial planning, annual leave, personal growth and professional development. Our robust skills development programs, multiple career progression options and internal mobility paths and collaborative culture empowers you to thrive as an individual and global team member. We are committed to giving our employees a flexible and connected way of working. A flexible and connected ZS allows us to combine work from home and on-site presence at clients/ZS offices for the majority of our week. The magic of ZS culture and innovation thrives in both planned and spontaneous face-to-face connections. Travel: Travel is a requirement at ZS for client facing ZSers; business needs of your project and client are the priority. While some projects may be local, all client-facing ZSers should be prepared to travel as needed. Travel provides opportunities to strengthen client relationships, gain diverse experiences, and enhance professional growth by working in different environments and cultures. Considering applying? At ZS, we honor the visible and invisible elements of our identities, personal experiences, and belief systems—the ones that comprise us as individuals, shape who we are, and make us unique. We believe your personal interests, identities, and desire to learn are integral to your success here. We are committed to building a team that reflects a broad variety of backgrounds, perspectives, and experiences. Learn more about our inclusion and belonging efforts and the networks ZS supports to assist our ZSers in cultivating community spaces and obtaining the resources they need to thrive. If you’re eager to grow, contribute, and bring your unique self to our work, we encourage you to apply. ZS is an equal opportunity employer and is committed to providing equal employment and advancement opportunities without regard to any class protected by applicable law. To complete your application: Candidates must possess or be able to obtain work authorization for their intended country of employment.An on-line application, including a full set of transcripts (official or unofficial), is required to be considered. NO AGENCY CALLS, PLEASE. Find Out More At: www.zs.com

Job Title: Collibra Data Governance Specialist Location: Hyderabad Job Type: Full-Time About the Role: We are seeking a highly skilled and experienced Collibra Expert to lead and manage our enterprise-level data governance initiatives using Collibra. This role requires deep expertise in Collibra’s platform, including configuration, integration, workflow development, and stakeholder engagement. The ideal candidate will be responsible for implementing and maintaining data governance frameworks, ensuring data quality, and enabling data stewardship across the organization. Key Responsibilities: Lead the end-to-end implementation and administration of the Collibra Data Intelligence Platform. Design and configure Collibra Operating Model , including domains, assets, workflows, and roles. Develop and maintain custom workflows using BPMN and Collibra Workflow Designer. Integrate Collibra with enterprise systems (e.g., Snowflake, Informatica, Tableau, Azure, SAP) using APIs and connectors. Collaborate with data stewards, data owners, and business users to define and enforce data governance policies . Implement and monitor data quality rules , lineage, and metadata management. Provide training and support to business and technical users on Collibra usage and best practices. Act as a Collibra SME and evangelist within the organization, promoting data governance maturity. Maintain documentation and ensure compliance with internal and external data governance standards. Required Skills & Qualifications: 5+ years of experience in data governance , metadata management, or data quality. 3+ years of hands-on experience with Collibra , including configuration, workflow development, and integration. Strong understanding of data governance frameworks , data stewardship, and data lifecycle management. Proficiency in Collibra APIs, BPMN, and scripting languages (e.g., Groovy, JavaScript). Experience with data cataloging, lineage, and business glossary in Collibra. Familiarity with data platforms like Snowflake, Azure, AWS, Informatica, or similar. Excellent communication and stakeholder management skills. Collibra Ranger or Solution Architect certification is a plus . Preferred Qualifications: Experience in enterprise-level deployments of Collibra. Knowledge of regulatory compliance (e.g., GDPR, HIPAA, CCPA). Background in data architecture or data engineering is a plus.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity The objective of our Digital Risk Consulting service is to support clients with the development, implementation, improvement, and modernization of their technology risk and compliance programs to address the constantly changing risk and technology landscape. Our solutions can be used by our clients to build confidence and trust with their customers, the overall market, and when required by regulation or contract. Your Key Responsibilities You will operate as a team leader for engagements to help our clients develop and strengthen their IT risk and compliance programs. You will work directly with clients to review their IT processes and controls, remediate and implement controls, onboard new tools and services into risk and compliance frameworks, and assist with the readiness and adherence for new compliance regulations. Your responsibilities include both in-person and remote oversight and coaching of engagement team members, reporting to both senior engagement team members and client leadership, as well as partnering with our key client contacts to complete the engagement work. What You'll Do Designing and implementing solutions to various data related technical/compliance challenges such as DevSecOps, data strategy, data governance, data risks & relevant controls, data testing, data architecture, data platforms, data solution implementation, data quality and data security to manage and mitigate risk. Leveraging data analytics tools/software to build robust and scalable solutions through data analysis and data visualizations using SQL, Python and visualization tools Design and implement comprehensive data analytics strategies to support business decision-making. Collect, clean, and interpret large datasets from multiple sources, ensuring completeness, accuracy and integrity of data. Integrating and/or piloting next-generation technologies such as cloud platforms, machine learning and Generative AI (GenAI) Developing custom scripts and algorithms to automate data processing and analysis to generate insights Applying business / domain knowledge including regulatory requirements and industry standards to solve complex data related challenges Analyzing data to uncover trends and generate insights that can inform business decisions Build and maintain relationships across Engineering, Product, Operations, Internal Audit, external audit and other external stakeholders to drive effective financial risk management. Work with DevSecOps, Security Assurance, Engineering, and Product teams to improve efficiency of control environments and provide risk management through implementation of automation and process improvement Bridge gaps between IT controls and business controls, including ITGCs and automated business controls. Work with IA to ensure complete control environment is managed Work with emerging products to understand risk profile and ensure an appropriate control environment is established Implement new process and controls in response to changes to the business environment, such as new product introduction, changes in accounting standards, internal process changes or reorganization. What You'll Need Experience in data architecture, data management, data engineering, data science or data analytics Experience in building analytical queries and dashboards using SQL, noSQL, Python etc. Proficient in SQL and quantitative analysis, you can deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions Knowledge of tools in the following areas: Scripting and Programming (e.g., Python, SQL, R, Java, Scala, etc.) Big Data Tools (e.g., Hadoop, Hive, Pig, Impala, Mahout, etc.) Data Management (e.g., Informatica, Collibra, SAP, Oracle, IBM etc.) Predictive Analytics (e.g., Python, IBM SPSS, SAS Enterprise Miner, RPL, Matl, etc.) Data Visualization (e.g., Tableau, PowerBI, TIBCO-Spotfire, CliqView, SPSS, etc.) Data Mining (e.g., Microsoft SQL Server, etc.) Cloud Platforms (e.g., AWS, Azure, or Google Cloud) Ability to analyze complex processes to identify potential financial, operational, systems and compliance risks across major finance cycles Ability to assist management with the integration of security practices in the product development lifecycle (DevSecOps) Experience with homegrown applications in a microservices/dev-ops environment Experience with identifying potential security risks in platform environments and developing strategies to mitigate them Experience with SOX readiness assessments and control implementation Knowledge of DevOps practices, CI/CD pipelines, code management and automation tools (e.g., Jenkins, Git, Phab, Artifactory, SonarQube, Selenium, Fortify, Acunetix, Prisma Cloud) Preferred: Experience in: Managing technical data projects Leveraging data analytics tools/software to develop solutions and scripts Developing statistical model tools and techniques Developing and executing data governance frameworks or operating models Identifying data risks and designing and/or implementing appropriate controls Implementation of data quality process Developing data services and solutions in a cloud environment Designing data architecture Analyzing complex data sets & communicating findings effectively Process management experience, including process redesign and optimization Experience in scripting languages (e.g., Python, Bash) Experience in cloud platforms (e.g., AWS, Azure, GCP) and securing cloud-based applications/services To qualify for the role, you must have A bachelor's or master's degree A minimum of 3 years of experience working as an IT risk consultant or data analytics experience. Bring your experience in applying relevant technical knowledge in at least one of the following engagements: (a) risk consulting, (b) financial statement audits; (c) internal or operational audits, (d) IT compliance; and/or (e) Service Organization Controls Reporting engagements. We would expect for you to be available to travel outside of their assigned office location at least 50% of the time, plus commute within the region (where public transportation often is not available). Successful candidates must work in excess of standard hours when necessary. A valid passport is required. Ideally, you’ll also have A bachelor's or master's degree in business, computer science, information systems, informatics, computer engineering, accounting, or a related discipline CISA, CISSP, CISM, CPA or CA certification is desired; non-certified hires are required to become certified to be eligible for promotion to Manager. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity The objective of our Digital Risk Consulting service is to support clients with the development, implementation, improvement, and modernization of their technology risk and compliance programs to address the constantly changing risk and technology landscape. Our solutions can be used by our clients to build confidence and trust with their customers, the overall market, and when required by regulation or contract. Your Key Responsibilities You will operate as a team leader for engagements to help our clients develop and strengthen their IT risk and compliance programs. You will work directly with clients to review their IT processes and controls, remediate and implement controls, onboard new tools and services into risk and compliance frameworks, and assist with the readiness and adherence for new compliance regulations. Your responsibilities include both in-person and remote oversight and coaching of engagement team members, reporting to both senior engagement team members and client leadership, as well as partnering with our key client contacts to complete the engagement work. What You'll Do Designing and implementing solutions to various data related technical/compliance challenges such as DevSecOps, data strategy, data governance, data risks & relevant controls, data testing, data architecture, data platforms, data solution implementation, data quality and data security to manage and mitigate risk. Leveraging data analytics tools/software to build robust and scalable solutions through data analysis and data visualizations using SQL, Python and visualization tools Design and implement comprehensive data analytics strategies to support business decision-making. Collect, clean, and interpret large datasets from multiple sources, ensuring completeness, accuracy and integrity of data. Integrating and/or piloting next-generation technologies such as cloud platforms, machine learning and Generative AI (GenAI) Developing custom scripts and algorithms to automate data processing and analysis to generate insights Applying business / domain knowledge including regulatory requirements and industry standards to solve complex data related challenges Analyzing data to uncover trends and generate insights that can inform business decisions Build and maintain relationships across Engineering, Product, Operations, Internal Audit, external audit and other external stakeholders to drive effective financial risk management. Work with DevSecOps, Security Assurance, Engineering, and Product teams to improve efficiency of control environments and provide risk management through implementation of automation and process improvement Bridge gaps between IT controls and business controls, including ITGCs and automated business controls. Work with IA to ensure complete control environment is managed Work with emerging products to understand risk profile and ensure an appropriate control environment is established Implement new process and controls in response to changes to the business environment, such as new product introduction, changes in accounting standards, internal process changes or reorganization. What You'll Need Experience in data architecture, data management, data engineering, data science or data analytics Experience in building analytical queries and dashboards using SQL, noSQL, Python etc. Proficient in SQL and quantitative analysis, you can deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions Knowledge of tools in the following areas: Scripting and Programming (e.g., Python, SQL, R, Java, Scala, etc.) Big Data Tools (e.g., Hadoop, Hive, Pig, Impala, Mahout, etc.) Data Management (e.g., Informatica, Collibra, SAP, Oracle, IBM etc.) Predictive Analytics (e.g., Python, IBM SPSS, SAS Enterprise Miner, RPL, Matl, etc.) Data Visualization (e.g., Tableau, PowerBI, TIBCO-Spotfire, CliqView, SPSS, etc.) Data Mining (e.g., Microsoft SQL Server, etc.) Cloud Platforms (e.g., AWS, Azure, or Google Cloud) Ability to analyze complex processes to identify potential financial, operational, systems and compliance risks across major finance cycles Ability to assist management with the integration of security practices in the product development lifecycle (DevSecOps) Experience with homegrown applications in a microservices/dev-ops environment Experience with identifying potential security risks in platform environments and developing strategies to mitigate them Experience with SOX readiness assessments and control implementation Knowledge of DevOps practices, CI/CD pipelines, code management and automation tools (e.g., Jenkins, Git, Phab, Artifactory, SonarQube, Selenium, Fortify, Acunetix, Prisma Cloud) Preferred: Experience in: Managing technical data projects Leveraging data analytics tools/software to develop solutions and scripts Developing statistical model tools and techniques Developing and executing data governance frameworks or operating models Identifying data risks and designing and/or implementing appropriate controls Implementation of data quality process Developing data services and solutions in a cloud environment Designing data architecture Analyzing complex data sets & communicating findings effectively Process management experience, including process redesign and optimization Experience in scripting languages (e.g., Python, Bash) Experience in cloud platforms (e.g., AWS, Azure, GCP) and securing cloud-based applications/services To qualify for the role, you must have A bachelor's or master's degree A minimum of 3 years of experience working as an IT risk consultant or data analytics experience. Bring your experience in applying relevant technical knowledge in at least one of the following engagements: (a) risk consulting, (b) financial statement audits; (c) internal or operational audits, (d) IT compliance; and/or (e) Service Organization Controls Reporting engagements. We would expect for you to be available to travel outside of their assigned office location at least 50% of the time, plus commute within the region (where public transportation often is not available). Successful candidates must work in excess of standard hours when necessary. A valid passport is required. Ideally, you’ll also have A bachelor's or master's degree in business, computer science, information systems, informatics, computer engineering, accounting, or a related discipline CISA, CISSP, CISM, CPA or CA certification is desired; non-certified hires are required to become certified to be eligible for promotion to Manager. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity The objective of our Digital Risk Consulting service is to support clients with the development, implementation, improvement, and modernization of their technology risk and compliance programs to address the constantly changing risk and technology landscape. Our solutions can be used by our clients to build confidence and trust with their customers, the overall market, and when required by regulation or contract. Your Key Responsibilities You will operate as a team leader for engagements to help our clients develop and strengthen their IT risk and compliance programs. You will work directly with clients to review their IT processes and controls, remediate and implement controls, onboard new tools and services into risk and compliance frameworks, and assist with the readiness and adherence for new compliance regulations. Your responsibilities include both in-person and remote oversight and coaching of engagement team members, reporting to both senior engagement team members and client leadership, as well as partnering with our key client contacts to complete the engagement work. What You'll Do Designing and implementing solutions to various data related technical/compliance challenges such as DevSecOps, data strategy, data governance, data risks & relevant controls, data testing, data architecture, data platforms, data solution implementation, data quality and data security to manage and mitigate risk. Leveraging data analytics tools/software to build robust and scalable solutions through data analysis and data visualizations using SQL, Python and visualization tools Design and implement comprehensive data analytics strategies to support business decision-making. Collect, clean, and interpret large datasets from multiple sources, ensuring completeness, accuracy and integrity of data. Integrating and/or piloting next-generation technologies such as cloud platforms, machine learning and Generative AI (GenAI) Developing custom scripts and algorithms to automate data processing and analysis to generate insights Applying business / domain knowledge including regulatory requirements and industry standards to solve complex data related challenges Analyzing data to uncover trends and generate insights that can inform business decisions Build and maintain relationships across Engineering, Product, Operations, Internal Audit, external audit and other external stakeholders to drive effective financial risk management. Work with DevSecOps, Security Assurance, Engineering, and Product teams to improve efficiency of control environments and provide risk management through implementation of automation and process improvement Bridge gaps between IT controls and business controls, including ITGCs and automated business controls. Work with IA to ensure complete control environment is managed Work with emerging products to understand risk profile and ensure an appropriate control environment is established Implement new process and controls in response to changes to the business environment, such as new product introduction, changes in accounting standards, internal process changes or reorganization. What You'll Need Experience in data architecture, data management, data engineering, data science or data analytics Experience in building analytical queries and dashboards using SQL, noSQL, Python etc. Proficient in SQL and quantitative analysis, you can deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions Knowledge of tools in the following areas: Scripting and Programming (e.g., Python, SQL, R, Java, Scala, etc.) Big Data Tools (e.g., Hadoop, Hive, Pig, Impala, Mahout, etc.) Data Management (e.g., Informatica, Collibra, SAP, Oracle, IBM etc.) Predictive Analytics (e.g., Python, IBM SPSS, SAS Enterprise Miner, RPL, Matl, etc.) Data Visualization (e.g., Tableau, PowerBI, TIBCO-Spotfire, CliqView, SPSS, etc.) Data Mining (e.g., Microsoft SQL Server, etc.) Cloud Platforms (e.g., AWS, Azure, or Google Cloud) Ability to analyze complex processes to identify potential financial, operational, systems and compliance risks across major finance cycles Ability to assist management with the integration of security practices in the product development lifecycle (DevSecOps) Experience with homegrown applications in a microservices/dev-ops environment Experience with identifying potential security risks in platform environments and developing strategies to mitigate them Experience with SOX readiness assessments and control implementation Knowledge of DevOps practices, CI/CD pipelines, code management and automation tools (e.g., Jenkins, Git, Phab, Artifactory, SonarQube, Selenium, Fortify, Acunetix, Prisma Cloud) Preferred: Experience in: Managing technical data projects Leveraging data analytics tools/software to develop solutions and scripts Developing statistical model tools and techniques Developing and executing data governance frameworks or operating models Identifying data risks and designing and/or implementing appropriate controls Implementation of data quality process Developing data services and solutions in a cloud environment Designing data architecture Analyzing complex data sets & communicating findings effectively Process management experience, including process redesign and optimization Experience in scripting languages (e.g., Python, Bash) Experience in cloud platforms (e.g., AWS, Azure, GCP) and securing cloud-based applications/services To qualify for the role, you must have A bachelor's or master's degree A minimum of 3 years of experience working as an IT risk consultant or data analytics experience. Bring your experience in applying relevant technical knowledge in at least one of the following engagements: (a) risk consulting, (b) financial statement audits; (c) internal or operational audits, (d) IT compliance; and/or (e) Service Organization Controls Reporting engagements. We would expect for you to be available to travel outside of their assigned office location at least 50% of the time, plus commute within the region (where public transportation often is not available). Successful candidates must work in excess of standard hours when necessary. A valid passport is required. Ideally, you’ll also have A bachelor's or master's degree in business, computer science, information systems, informatics, computer engineering, accounting, or a related discipline CISA, CISSP, CISM, CPA or CA certification is desired; non-certified hires are required to become certified to be eligible for promotion to Manager. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity The objective of our Digital Risk Consulting service is to support clients with the development, implementation, improvement, and modernization of their technology risk and compliance programs to address the constantly changing risk and technology landscape. Our solutions can be used by our clients to build confidence and trust with their customers, the overall market, and when required by regulation or contract. Your Key Responsibilities You will operate as a team leader for engagements to help our clients develop and strengthen their IT risk and compliance programs. You will work directly with clients to review their IT processes and controls, remediate and implement controls, onboard new tools and services into risk and compliance frameworks, and assist with the readiness and adherence for new compliance regulations. Your responsibilities include both in-person and remote oversight and coaching of engagement team members, reporting to both senior engagement team members and client leadership, as well as partnering with our key client contacts to complete the engagement work. What You'll Do Designing and implementing solutions to various data related technical/compliance challenges such as DevSecOps, data strategy, data governance, data risks & relevant controls, data testing, data architecture, data platforms, data solution implementation, data quality and data security to manage and mitigate risk. Leveraging data analytics tools/software to build robust and scalable solutions through data analysis and data visualizations using SQL, Python and visualization tools Design and implement comprehensive data analytics strategies to support business decision-making. Collect, clean, and interpret large datasets from multiple sources, ensuring completeness, accuracy and integrity of data. Integrating and/or piloting next-generation technologies such as cloud platforms, machine learning and Generative AI (GenAI) Developing custom scripts and algorithms to automate data processing and analysis to generate insights Applying business / domain knowledge including regulatory requirements and industry standards to solve complex data related challenges Analyzing data to uncover trends and generate insights that can inform business decisions Build and maintain relationships across Engineering, Product, Operations, Internal Audit, external audit and other external stakeholders to drive effective financial risk management. Work with DevSecOps, Security Assurance, Engineering, and Product teams to improve efficiency of control environments and provide risk management through implementation of automation and process improvement Bridge gaps between IT controls and business controls, including ITGCs and automated business controls. Work with IA to ensure complete control environment is managed Work with emerging products to understand risk profile and ensure an appropriate control environment is established Implement new process and controls in response to changes to the business environment, such as new product introduction, changes in accounting standards, internal process changes or reorganization. What You'll Need Experience in data architecture, data management, data engineering, data science or data analytics Experience in building analytical queries and dashboards using SQL, noSQL, Python etc. Proficient in SQL and quantitative analysis, you can deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions Knowledge of tools in the following areas: Scripting and Programming (e.g., Python, SQL, R, Java, Scala, etc.) Big Data Tools (e.g., Hadoop, Hive, Pig, Impala, Mahout, etc.) Data Management (e.g., Informatica, Collibra, SAP, Oracle, IBM etc.) Predictive Analytics (e.g., Python, IBM SPSS, SAS Enterprise Miner, RPL, Matl, etc.) Data Visualization (e.g., Tableau, PowerBI, TIBCO-Spotfire, CliqView, SPSS, etc.) Data Mining (e.g., Microsoft SQL Server, etc.) Cloud Platforms (e.g., AWS, Azure, or Google Cloud) Ability to analyze complex processes to identify potential financial, operational, systems and compliance risks across major finance cycles Ability to assist management with the integration of security practices in the product development lifecycle (DevSecOps) Experience with homegrown applications in a microservices/dev-ops environment Experience with identifying potential security risks in platform environments and developing strategies to mitigate them Experience with SOX readiness assessments and control implementation Knowledge of DevOps practices, CI/CD pipelines, code management and automation tools (e.g., Jenkins, Git, Phab, Artifactory, SonarQube, Selenium, Fortify, Acunetix, Prisma Cloud) Preferred: Experience in: Managing technical data projects Leveraging data analytics tools/software to develop solutions and scripts Developing statistical model tools and techniques Developing and executing data governance frameworks or operating models Identifying data risks and designing and/or implementing appropriate controls Implementation of data quality process Developing data services and solutions in a cloud environment Designing data architecture Analyzing complex data sets & communicating findings effectively Process management experience, including process redesign and optimization Experience in scripting languages (e.g., Python, Bash) Experience in cloud platforms (e.g., AWS, Azure, GCP) and securing cloud-based applications/services To qualify for the role, you must have A bachelor's or master's degree A minimum of 3 years of experience working as an IT risk consultant or data analytics experience. Bring your experience in applying relevant technical knowledge in at least one of the following engagements: (a) risk consulting, (b) financial statement audits; (c) internal or operational audits, (d) IT compliance; and/or (e) Service Organization Controls Reporting engagements. We would expect for you to be available to travel outside of their assigned office location at least 50% of the time, plus commute within the region (where public transportation often is not available). Successful candidates must work in excess of standard hours when necessary. A valid passport is required. Ideally, you’ll also have A bachelor's or master's degree in business, computer science, information systems, informatics, computer engineering, accounting, or a related discipline CISA, CISSP, CISM, CPA or CA certification is desired; non-certified hires are required to become certified to be eligible for promotion to Manager. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity The objective of our Digital Risk Consulting service is to support clients with the development, implementation, improvement, and modernization of their technology risk and compliance programs to address the constantly changing risk and technology landscape. Our solutions can be used by our clients to build confidence and trust with their customers, the overall market, and when required by regulation or contract. Your Key Responsibilities You will operate as a team leader for engagements to help our clients develop and strengthen their IT risk and compliance programs. You will work directly with clients to review their IT processes and controls, remediate and implement controls, onboard new tools and services into risk and compliance frameworks, and assist with the readiness and adherence for new compliance regulations. Your responsibilities include both in-person and remote oversight and coaching of engagement team members, reporting to both senior engagement team members and client leadership, as well as partnering with our key client contacts to complete the engagement work. What You'll Do Designing and implementing solutions to various data related technical/compliance challenges such as DevSecOps, data strategy, data governance, data risks & relevant controls, data testing, data architecture, data platforms, data solution implementation, data quality and data security to manage and mitigate risk. Leveraging data analytics tools/software to build robust and scalable solutions through data analysis and data visualizations using SQL, Python and visualization tools Design and implement comprehensive data analytics strategies to support business decision-making. Collect, clean, and interpret large datasets from multiple sources, ensuring completeness, accuracy and integrity of data. Integrating and/or piloting next-generation technologies such as cloud platforms, machine learning and Generative AI (GenAI) Developing custom scripts and algorithms to automate data processing and analysis to generate insights Applying business / domain knowledge including regulatory requirements and industry standards to solve complex data related challenges Analyzing data to uncover trends and generate insights that can inform business decisions Build and maintain relationships across Engineering, Product, Operations, Internal Audit, external audit and other external stakeholders to drive effective financial risk management. Work with DevSecOps, Security Assurance, Engineering, and Product teams to improve efficiency of control environments and provide risk management through implementation of automation and process improvement Bridge gaps between IT controls and business controls, including ITGCs and automated business controls. Work with IA to ensure complete control environment is managed Work with emerging products to understand risk profile and ensure an appropriate control environment is established Implement new process and controls in response to changes to the business environment, such as new product introduction, changes in accounting standards, internal process changes or reorganization. What You'll Need Experience in data architecture, data management, data engineering, data science or data analytics Experience in building analytical queries and dashboards using SQL, noSQL, Python etc. Proficient in SQL and quantitative analysis, you can deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions Knowledge of tools in the following areas: Scripting and Programming (e.g., Python, SQL, R, Java, Scala, etc.) Big Data Tools (e.g., Hadoop, Hive, Pig, Impala, Mahout, etc.) Data Management (e.g., Informatica, Collibra, SAP, Oracle, IBM etc.) Predictive Analytics (e.g., Python, IBM SPSS, SAS Enterprise Miner, RPL, Matl, etc.) Data Visualization (e.g., Tableau, PowerBI, TIBCO-Spotfire, CliqView, SPSS, etc.) Data Mining (e.g., Microsoft SQL Server, etc.) Cloud Platforms (e.g., AWS, Azure, or Google Cloud) Ability to analyze complex processes to identify potential financial, operational, systems and compliance risks across major finance cycles Ability to assist management with the integration of security practices in the product development lifecycle (DevSecOps) Experience with homegrown applications in a microservices/dev-ops environment Experience with identifying potential security risks in platform environments and developing strategies to mitigate them Experience with SOX readiness assessments and control implementation Knowledge of DevOps practices, CI/CD pipelines, code management and automation tools (e.g., Jenkins, Git, Phab, Artifactory, SonarQube, Selenium, Fortify, Acunetix, Prisma Cloud) Preferred: Experience in: Managing technical data projects Leveraging data analytics tools/software to develop solutions and scripts Developing statistical model tools and techniques Developing and executing data governance frameworks or operating models Identifying data risks and designing and/or implementing appropriate controls Implementation of data quality process Developing data services and solutions in a cloud environment Designing data architecture Analyzing complex data sets & communicating findings effectively Process management experience, including process redesign and optimization Experience in scripting languages (e.g., Python, Bash) Experience in cloud platforms (e.g., AWS, Azure, GCP) and securing cloud-based applications/services To qualify for the role, you must have A bachelor's or master's degree A minimum of 3 years of experience working as an IT risk consultant or data analytics experience. Bring your experience in applying relevant technical knowledge in at least one of the following engagements: (a) risk consulting, (b) financial statement audits; (c) internal or operational audits, (d) IT compliance; and/or (e) Service Organization Controls Reporting engagements. We would expect for you to be available to travel outside of their assigned office location at least 50% of the time, plus commute within the region (where public transportation often is not available). Successful candidates must work in excess of standard hours when necessary. A valid passport is required. Ideally, you’ll also have A bachelor's or master's degree in business, computer science, information systems, informatics, computer engineering, accounting, or a related discipline CISA, CISSP, CISM, CPA or CA certification is desired; non-certified hires are required to become certified to be eligible for promotion to Manager. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. The opportunity The objective of our Digital Risk Consulting service is to support clients with the development, implementation, improvement, and modernization of their technology risk and compliance programs to address the constantly changing risk and technology landscape. Our solutions can be used by our clients to build confidence and trust with their customers, the overall market, and when required by regulation or contract. Your Key Responsibilities You will operate as a team leader for engagements to help our clients develop and strengthen their IT risk and compliance programs. You will work directly with clients to review their IT processes and controls, remediate and implement controls, onboard new tools and services into risk and compliance frameworks, and assist with the readiness and adherence for new compliance regulations. Your responsibilities include both in-person and remote oversight and coaching of engagement team members, reporting to both senior engagement team members and client leadership, as well as partnering with our key client contacts to complete the engagement work. What You'll Do Designing and implementing solutions to various data related technical/compliance challenges such as DevSecOps, data strategy, data governance, data risks & relevant controls, data testing, data architecture, data platforms, data solution implementation, data quality and data security to manage and mitigate risk. Leveraging data analytics tools/software to build robust and scalable solutions through data analysis and data visualizations using SQL, Python and visualization tools Design and implement comprehensive data analytics strategies to support business decision-making. Collect, clean, and interpret large datasets from multiple sources, ensuring completeness, accuracy and integrity of data. Integrating and/or piloting next-generation technologies such as cloud platforms, machine learning and Generative AI (GenAI) Developing custom scripts and algorithms to automate data processing and analysis to generate insights Applying business / domain knowledge including regulatory requirements and industry standards to solve complex data related challenges Analyzing data to uncover trends and generate insights that can inform business decisions Build and maintain relationships across Engineering, Product, Operations, Internal Audit, external audit and other external stakeholders to drive effective financial risk management. Work with DevSecOps, Security Assurance, Engineering, and Product teams to improve efficiency of control environments and provide risk management through implementation of automation and process improvement Bridge gaps between IT controls and business controls, including ITGCs and automated business controls. Work with IA to ensure complete control environment is managed Work with emerging products to understand risk profile and ensure an appropriate control environment is established Implement new process and controls in response to changes to the business environment, such as new product introduction, changes in accounting standards, internal process changes or reorganization. What You'll Need Experience in data architecture, data management, data engineering, data science or data analytics Experience in building analytical queries and dashboards using SQL, noSQL, Python etc. Proficient in SQL and quantitative analysis, you can deep dive into large amounts of data, draw meaningful insights, dissect business issues and draw actionable conclusions Knowledge of tools in the following areas: Scripting and Programming (e.g., Python, SQL, R, Java, Scala, etc.) Big Data Tools (e.g., Hadoop, Hive, Pig, Impala, Mahout, etc.) Data Management (e.g., Informatica, Collibra, SAP, Oracle, IBM etc.) Predictive Analytics (e.g., Python, IBM SPSS, SAS Enterprise Miner, RPL, Matl, etc.) Data Visualization (e.g., Tableau, PowerBI, TIBCO-Spotfire, CliqView, SPSS, etc.) Data Mining (e.g., Microsoft SQL Server, etc.) Cloud Platforms (e.g., AWS, Azure, or Google Cloud) Ability to analyze complex processes to identify potential financial, operational, systems and compliance risks across major finance cycles Ability to assist management with the integration of security practices in the product development lifecycle (DevSecOps) Experience with homegrown applications in a microservices/dev-ops environment Experience with identifying potential security risks in platform environments and developing strategies to mitigate them Experience with SOX readiness assessments and control implementation Knowledge of DevOps practices, CI/CD pipelines, code management and automation tools (e.g., Jenkins, Git, Phab, Artifactory, SonarQube, Selenium, Fortify, Acunetix, Prisma Cloud) Preferred: Experience in: Managing technical data projects Leveraging data analytics tools/software to develop solutions and scripts Developing statistical model tools and techniques Developing and executing data governance frameworks or operating models Identifying data risks and designing and/or implementing appropriate controls Implementation of data quality process Developing data services and solutions in a cloud environment Designing data architecture Analyzing complex data sets & communicating findings effectively Process management experience, including process redesign and optimization Experience in scripting languages (e.g., Python, Bash) Experience in cloud platforms (e.g., AWS, Azure, GCP) and securing cloud-based applications/services To qualify for the role, you must have A bachelor's or master's degree A minimum of 3 years of experience working as an IT risk consultant or data analytics experience. Bring your experience in applying relevant technical knowledge in at least one of the following engagements: (a) risk consulting, (b) financial statement audits; (c) internal or operational audits, (d) IT compliance; and/or (e) Service Organization Controls Reporting engagements. We would expect for you to be available to travel outside of their assigned office location at least 50% of the time, plus commute within the region (where public transportation often is not available). Successful candidates must work in excess of standard hours when necessary. A valid passport is required. Ideally, you’ll also have A bachelor's or master's degree in business, computer science, information systems, informatics, computer engineering, accounting, or a related discipline CISA, CISSP, CISM, CPA or CA certification is desired; non-certified hires are required to become certified to be eligible for promotion to Manager. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.