866 Collibra Jobs - Page 28

Presidio, Where Teamwork and Innovation Shape the Future At Presidio, we’re at the forefront of a global technology revolution, transforming industries through cutting-edge digital solutions and next-generation AI. We empower businesses—and their customers—to achieve more through innovation, automation, and intelligent insights. The Role Presidio Senior Engineer will be responsible for driving the development of reliable, scalable, and high-performance data systems. This role requires a strong foundation in cloud platforms, data engineering best practices, and data warehousing. The ideal candidate has hands-on experience in building robust ETL/ELT pipelines Responsibilities Include Design, develop, and maintain scalable ETL/ELT data pipelines for batch and real-time data processing. Build and optimise cloud-native data platforms and data warehouses (e.g., Snowflake, Redshift, BigQuery). Design and implement data models, including normalised and dimensional models (star/snowflake schema). Collaborate with cross-functional teams to gather requirements and deliver reliable data solutions. Ensure data quality, consistency, governance, and security across data platforms. Optimise and tune SQL queries and data workflows for performance and cost efficiency. Lead or mentor junior data engineers and contribute to team-level planning and design. Must-Have Qualifications Cloud Expertise: Strong experience with at least one cloud platform (AWS, Azure, or GCP). Programming: Proficiency in Python, SQL, and shell scripting. Data Warehousing & Modeling: Deep understanding of warehousing concepts and best practices. ETL/ELT Pipelines: Proven experience with building pipelines using orchestration tools like Airflow or DBT. Experience with CI/CD tools and version control (Git). Familiarity with distributed data processing and performance optimisation. Good-to-Have Skills Hands-on experience with UI-based ETL tools like Talend, Informatica, or Azure Data Factory. Exposure to visualisation and BI tools such as Power BI, Tableau, or Looker. Knowledge of data governance frameworks and metadata management tools (e.g., Collibra, Alation). Experience in leading data engineering teams or mentoring team members. Understanding of data security, access control, and compliance standards (e.g., GDPR, HIPAA). Your future at Presidio Joining Presidio means stepping into a culture of trailblazers—thinkers, builders, and collaborators—who push the boundaries of what’s possible. With our expertise in AI-driven analytics, cloud solutions, cybersecurity, and next-gen infrastructure, we enable businesses to stay ahead in an ever-evolving digital world. Here, your impact is real. Whether you're harnessing the power of Generative AI, architecting resilient digital ecosystems, or driving data-driven transformation, you’ll be part of a team that is shaping the future. Ready to innovate? Let’s redefine what’s next—together. About Presidio At Presidio, speed and quality meet technology and innovation. Presidio is a trusted ally for organizations across industries with a decades-long history of building traditional IT foundations and deep expertise in AI and automation, security, networking, digital transformation, and cloud computing. Presidio fills gaps, removes hurdles, optimizes costs, and reduces risk. Presidio’s expert technical team develops custom applications, provides managed services, enables actionable data insights and builds forward-thinking solutions that drive strategic outcomes for clients globally. For more information, visit www.presidio.com . Presidio is committed to hiring the most qualified candidates to join our amazing culture. We aim to attract and hire top talent from all backgrounds, including underrepresented and marginalized communities. We encourage women, people of color, people with disabilities, and veterans to apply for open roles at Presidio. Diversity of skills and thought is a key component to our business success. Recruitment Agencies, Please Note: Presidio does not accept unsolicited agency resumes/CVs. Do not forward resumes/CVs to our careers email address, Presidio employees or any other means. Presidio is not responsible for any fees related to unsolicited resumes/CVs. Show more Show less

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us. At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary : Senior Data Governance Developer Responsibilities Strong understanding & hands on experience on Collibra or other Data Governance tools. Experience with designing & implementing operating model in DGC, scanning different sources & harvesting lineage via connectors, Rest API knowledge Experience in designing, developing & configuring workflows using Eclipse. Good experience in groovy scripting Experience with lineage harvesting in Collibra to track data movement and transformations across systems Good understanding & experience in developing & implementing Data Governance, Metadata Management, Data Quality - frameworks, policies & processes Good Knowledge of industry standards & regulations on Data Management - BCBS239, GDPR Excellent communication & interpersonal skills, with the ability to interact effectively with senior stakeholders & cross-functional teams Experience in working on RFPs, internal/external POVs, Accelerators and other frameworks Mandatory Skill Sets Collibra Preferred Skill Sets Collibra Years Of Experience Required 4-7 Education Qualification BTech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration Degrees/Field Of Study Preferred Certifications (if blank, certifications not specified) Required Skills Data Governance Optional Skills Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date Show more Show less

COMPANY OVERVIEW KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR’s insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries. KKR's Gurugram office provides best in class services and solutions to our internal stakeholders and clients, drive organization wide process efficiency and transformation, and reflect KKR's global culture and values of teamwork and innovation. The office will contain multifunctional business capabilities and will be integral in furthering the growth and transformation of KKR. TEAM OVERVIEW KKR has built out an enterprise Data Operations group to collect, manage, and harness the power of data across our diverse business activities. The Data Operation Centre of Excellence (CoE) is a cross functional team dedicated to formulating & driving KKR’s enterprise data management strategy while also providing the operation leverage required to bring these strategies/frameworks to life. The Data Ops CoE consists of 2 focus areas (pillars); Data Management and Data Delivery. POSITION OVERVIEW The role is responsible for executing data management processes aimed at ensuring clean and quality data in the KKR data ecosystem. They will be part of KKR’s enterprise data group which collects, manages, and harnesses the power of data across our diverse portfolio investments. They will work collaboratively across the firm to set standards & best practices for data management while providing the operating leverage to centrally support the roll-out/ execution of these frameworks ROLES & RESPONSIBILITIES Operational Excellence Develop specifications as well as testing and enhancing tools/applications in conjunction with the IT team to maintain complete, accurate and up to date data Maintain consistent, accurate and complete data within KKR’s data ecosystem Implement data quality controls leveraging industry best tools i.e. Collibra Create and maintain data quality reporting functionality as per business needs Ensure data governance practices and activities are embedded across business units Execute and manage ad hoc data related projects within specified deadlines Collibra workflow development and maintenance Stakeholder Management Collaborate with engineering and IT to support and make recommendations for enhanced digital reporting capabilities and automated data reconciliation Communicate and work closely with relevant teams to close data gaps in a clear and timely manner Serve as point of contact for data-related questions and updates from various internal and external groups, delivering ad-hoc analytics to answer key business questions in a timely manner Reporting & Governance Design and document standard operating procedures for data management Implement and own best in class data governance practices; ensuring that data is well defined & transparently documented QUALIFICATIONS Bachelor’s Degree or equivalent work experience required 2-4 years of data operation experience in financial services Experience in a multinational Financial Services organization and/or Private Equity preferred Ability to manage standard reports, templates & dashboards Ability to validate and review data Ability to provide support for internal stakeholders by sending reminders of emails, filling timesheets, collecting information as per service requests Ability to adhere to the compliance requirements of processes Ability to develop and enhance data protection and management tools or applications Ability to design and execute data management focusing on data governance and data quality activities. Experience of using tool like Collibra is a must. Systems/ Tools/ Application knowledge: Experience with process design and process enhancement Proficiency in data operations and data management Advanced proficiency in Excel Skills in a BI tool such as Power BI Advanced SQL skills Experience with Python is a plus Displays high attention to detail Demonstrates outstanding initiative and strong work ethic Focuses on delivery excellence and accountability Displays team-work orientation and is highly collaborative Displays strong integrity and professionalism Builds strong relationships with local and global colleagues Demonstrates strong track record in accuracy and organization Demonstrates excellent written, verbal, and interpersonal communication skills #LI-Onsite KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law.

For The DG Role The Requirements Are As Follows Deliverables Enhance and standardised Collibra data glossary. Linke assets, logical models, and processes within Collibra. Updated and verified data lineage and quality metrics. Reporting and dashboards in Collibra for governance oversight. Creation of SOP’s or process documents so everyone can align Then Someone Who Can identify gaps and recommend improvements without requiring constant oversight. Document processes, decisions and the work being completed in Collibra Has experience in using Collibra Is familiar with data models and can link them to the Collibra assets Nice to have Someone who has knowledge of Home and Motor claims business and the underlying insights Experience with Confluence. Will likely be creating SOPs and process documents in Confluence Show more Show less

Job Title: Collibra developer Total years of experience: 4 years to 7 years Location: Mumbai Notice period: Immediate to 30 days Job description: Develop and design custom Collibra workflows that meet business and governance requirements for data product management, access management, data catalog management using Workflow Designer module. Integrate Collibra seamlessly with Azure using out of the box and custom connectors, ensuring optimal performance and scalability. Collaborate with cross-functional business teams to understand functional data governance workflow requirements and translate them into effective Collibra workflow diagrams. Utilize Groovy scripting to develop the required workflows and enhance Collibra functionalities. Provide technical expertise and guidance on best practices for designing and implementing workflows using Collibra in an Azure services and environment. Conduct thorough testing and validation of workflows to ensure robustness and reliability. Document solutions and create user guides to facilitate smooth adoption and usage by Amadeus teams Coordinate in change management process Resolve technical issues as required. Support and enhance data management and governance initiatives Technical Skills Implementation, configuration, maintenance of Collibra environments. Expert in Development of custom workflows on Collibra platform, managing Data catalogues for Azure services, mapping business/technical requirements to Collibra features. Experience in data product management, data sharing, data access using Collibra Experience in installing Collibra Connectors, running ingestions from a variety of sources especially from Azure eco-system and hands-on experience Collibra, its JAVA & REST APIs including ability develop groovy scripts. Experience in Production Rollouts and successful implementation of Collibra features. Complies with security standards and technical design. Experience with standard software development methodologies, knowledge of Agile methodology is highly desirable.

Greetings from Technogen !!! We thank you for taking time about your competencies and skills, while allowing us an opportunity to explain about us and our Technogen , we understand that your experience and expertise are relevant the current open with our clients. TechnoGen Brief Overview: TechnoGen, Inc. is an ISO 9001:2015, ISO 20000-1:2011, ISO 27001:2013, and CMMI Level 3 Global IT Services Company headquartered in Chantilly, Virginia. TechnoGen, Inc. (TGI) is a Minority & Women-Owned Small Business with over 20 years of experience providing end-to-end IT Services and Solutions to the Public and Private sectors. TGI provides highly skilled and certied professionals and has successfully executed more than 345 projects. TechnoGen is committed to helping our clients solve complex problems and achieve their goals, on time and under budget. LinkedIn: https://www.linkedin.com/company/technogeninc/about/ Job Title : Senior Data Engineer Location : Hyderabad Required Experience : 5+ years Job Summary :- Overview: Seeking a Senior Data Engineer to design and optimize scalable data pipeline architectures and support analytics needs across cross-functional teams. Key Responsibilities: Design, build, and maintain data pipelines (ETL/ELT) using BigQuery, Python, and SQL Optimize data flow, automate processes, and scale infrastructure Develop and manage workflows in Airflow/Cloud Composer and Ascend (or similar ETL tools) Implement data quality checks and testing strategies Support CI/CD (DevSecOps) processes, conduct code reviews, and mentor junior engineers Collaborate with QA/business teams and troubleshoot issues across environments Core Skills: BigQuery, Python, SQL, Collibra, Airflow/Cloud Composer, Ascend or similar ETL tools Data integration, warehousing, and pipeline orchestration Data quality frameworks and incremental load strategies Strong experience with GCP or AWS serverless data warehouse environments Preferred Skills: DBT for transformation Collibra for data governance Working with unstructured datasets Qualifications: 5+ years in data engineering Graduate degree in CS, Statistics, or related field Strong analytical and SQL expertise Best Regards, Rampelli Kiran Kumar| Sr.IT Recruiter kiran.r@technogenindia.com www.technogenindia.com | Follow us on LinkedIn

We are seeking a skilled and experienced Collibra Developer to support and enhance our data governance and metadata management capabilities. The ideal candidate will be responsible for designing, developing, implementing, and maintaining Collibra solutions, integrating with various enterprise data systems, and ensuring alignment with data governance standards and business requirements. Key Responsibilities: Design and configure Collibra Data Intelligence Cloud solutions (Data Catalog, Data Governance, Lineage, Privacy). Develop and maintain workflows using Collibra Workflow Designer (BPMN). Integrate Collibra with enterprise systems (ETL tools, BI tools, data lakes/warehouses) via APIs, JDBC, or other connectors. Define and maintain data domains, data dictionaries, business glossaries, and data stewardship roles. Required Qualifications: Bachelor's degree in Computer Science, Information Systems, or related field. 5-7+ years of experience working with Collibra Data Intelligence Platform. Hands-on experience in Collibra Administration, Workflow Development (BPMN), and DGC configuration. Interested candidates share your CV at himani.girnar@alikethoughts.com with below details Candidate's name- Email and Alternate Email ID- Contact and Alternate Contact no- Total exp- Relevant experience- Current Org- Notice period- CCTC- ECTC- Current Location- Preferred Location- Pancard No-

Data Modeller Role & Responsibilities Role Overview: We are seeking a talented and forward-thinking Data Modeler for one of the large financial services GCC based in Hyderabad with responsibilities that include designing and implementing data models, ensuring data integrity and optimization, collaborating with stakeholders, supporting data queries, and ensuring data governance and compliance. Technical Requirements: Experience in Relational/Normalized Data Modelling Strong Business Analysis skills Proficiency in Data Analysis Ability to develop conceptual, logical, and physical data models to support business requirements Experience in developing enterprise data models for OLTP, Analytics/AI/ML environments Familiarity with data modelling tools such as ER Studio, EA Sparx, Collibra Knowledge of metadata modelling, management, and tooling Implementation experience of physical models for interfaces, data stores, and cloud-based solutions Participation in governing data models Familiarity with Finance and Reference Data Models such as BIAN, ISO20022, FIBO, FSLDM Functional Requirements: Analyzing Data Requirements Creating/Modifying Entities and Attributes in BDM Identifying Reference Domains Peer reviewing BDM changes made by other Data Modelers Reviewing Physical data models to ensure alignment with logical definitions Uploading extension attributes into Collibra Coordinating modelling efforts across the Platform Resolving any overlap/duplication/contradiction in Platform BDM Adopting and enforcing standards and guidelines for BDM Preparing BDM for integration with GDM Attending cross-Platform sessions to coordinate at an enterprise level. This role offers a compelling opportunity for a seasoned Data Modeler to drive transformative cloud initiatives within the financial sector, leveraging unparalleled experience and expertise to deliver innovative cloud solutions that align with business imperatives and regulatory requirements. Qualification Engineering Grad / Postgraduate CRITERIA Proficient in relational data modeling and business analysis with metadata management experience. Skilled in developing conceptual, logical, and physical data models for varied environments. Familiarity with data modeling tools like ER Studio, EA Sparx, and Collibra. Experience in creating and governing data models, including financial and reference models. Ability to coordinate and resolve model discrepancies across platforms with a focus on integration. Relevant Experience: 6-9 years

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 1-3 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. Show more Show less

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 1-3 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. Show more Show less

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 1-3 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. Show more Show less

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 1-3 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. Show more Show less

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 1-3 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. Show more Show less

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 1-3 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. Show more Show less

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 1-3 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. Show more Show less

About Advanced Energy Advanced Energy Industries, Inc. (NASDAQ: AEIS), enables design breakthroughs and drives growth for leading semiconductor and industrial customers. Our precision power and control technologies, along with our applications know-how, inspire close partnerships and innovation in thin-film and industrial manufacturing. We are proud of our rich heritage, award-winning technologies, and we value the talents and contributions of all Advanced Energy's employees worldwide. Department: Data and Analytics Team: Data Solutions Delivery Team Job Summary: We are seeking a highly skilled Data Engineer with 5-10 Years of Experience to join our Data and Analytics team. As a member of the Data Solutions Delivery team, you will be responsible for designing, building, and maintaining scalable data solutions. The ideal candidate should have extensive knowledge of Databricks, Azure Data Factory , and Google Cloud, along with strong data warehousing skills from data ingestion to reporting. Familiarity with the manufacturing and supply chain domains is highly desirable. Additionally, the candidate should be well-versed in data engineering, data product, data platform concepts, data mesh, medallion architecture, and establishing enterprise data catalogs using tools like Ataccama, Collibra, or Microsoft Purview . The candidate should also have proven experience in implementing data quality practices using tools like Great Expectations, Deequ , etc. Key Responsibilities: Design, build, and maintain scalable data solutions using Databricks, ADF, and Google Cloud. Develop and implement data warehousing solutions, including ETL processes, data modeling, and reporting. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Ensure data integrity, quality, and security across all data platforms. Provide expertise in data engineering, data product, and data platform concepts. Implement data mesh principles and medallion architecture to build scalable data platforms. Establish and maintain enterprise data catalogs using tools like Ataccama, Collibra, or Microsoft Purview. Implement data quality practices using tools like Great Expectations, Deequ, etc. Work closely with the manufacturing and supply chain teams to understand domain-specific data requirements. Develop and maintain documentation for data solutions, data flows, and data models. Act as an individual contributor, picking up tasks from technical solution documents and delivering high-quality results. Qualifications: Bachelor’s degree in computer science, Information Technology, or a related field. Proven experience as a Data Engineer or similar role. In-depth knowledge of Databricks, Azure Data Factory, and Google Cloud. Strong data warehousing skills, including ETL processes, data modelling, and reporting. Familiarity with manufacturing and supply chain domains. Proficiency in data engineering, data product, data platform concepts, data mesh, and medallion architecture. Experience in establishing enterprise data catalogs using tools like Ataccama, Collibra, or Microsoft Purview. Proven experience in implementing data quality practices using tools like Great Expectations, Deequ, etc. Excellent problem-solving and analytical skills. Strong communication and collaboration skills. Ability to work independently and as part of a team. Preferred Qualifications: Master's degree in a related field. Experience with cloud-based data platforms and tools. Certification in Databricks, Azure, or Google Cloud. As part of our total rewards philosophy, we believe in offering and maintaining competitive compensation and benefits programs for our employees to attract and retain a talented, highly engaged workforce. Our compensation programs are focused on equitable, fair pay practices including market-based base pay, an annual pay-for-performance incentive plan, we offer a strong benefits package in each of the countries in which we operate. Advanced Energy is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans, and Individuals with Disabilities. We are committed to protecting and respecting your privacy. We take your privacy seriously and will only use your personal information to administer your application in accordance with the RA No. 10173 also known as the Data Privacy Act of 2012 Show more Show less

Position Overview Job Title: Market Risk Data Governance , AVP Location: Mumbai, India Corporate Title: AVP Role Description Market & Valuation Risk Management (MVRM) provides an independent view of market risks to Deutsche Bank’s senior management and manages Deutsche Bank’s Market Risk position in an independent and neutral way. The Market Risk Analysis and Control (MRAC) function is responsible for the provision of all official market risk metrics and core analysis in support of risk management decision making, on behalf of the Market Risk Management department. The team has a global presence with staff located in London, New York, Berlin, Singapore, Mumbai and Pune. This role is within the Market risk team in Mumbai, supporting data quality initiatives in the Data Quality and Governance team which is responsible for data governance, specifically ensuring BCBS 239 compliance for existing and new processes, Data management initiatives, automation of current manual processes, analysing and implementing governance processes for any changes in the production processes, or policies and support the compliance with BCBS239 regulation. What We’ll Offer You As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your Key Responsibilities Ensuring BCBS compliant status for all process at Market Risk Driving accurate and timely completion of recertifications (Compliance standards, Process Modelling, Data management artefacts, Stress Crisis Protocols, Lineage) Performing Annual BCBS 239 Self-Assessment for Market Risk metrics across Legal Entities Analysing KPI trends, defining remediations for non-green trends, presentation of the information to management Logging of Data quality issues and tracking to remediation Liaising with multiple teams, both internal and external to identify changes required in the governance processes for any changes/updates in the metrics’ production process, ensuring, compliance with the RDARR framework. Assessment and documentation of tangible benefits from the change process. Evaluating production and governance processes, driving rationalization and automation. Identification of gaps in the current processes and ensure fixes are implemented. Drive to automate manual processes in the governance framework Preparation of the plan and tracking to ensure for efficient and effective execution of the changes. Present regular updates Data Management Collaborate with cross-functional teams to promote data stewardship Understand and implement Core Data Standards Assist in the documentation and maintenance of data dictionaries and metadata repositories for Market Risk Ensure Data management artefacts are documented and updated. Perform Data analysis: investigate and present details of lineage, completeness, and transformations via flows and processes Compile reports Implementing the governance fora including scheduling of meetings, preparation of decks for meetings, taking minutes and following up for open actions Ad hoc reporting to support management requests Ensuring governance documentation (policies, DTP, etc) are updated regularly. Your Skills And Experience University degree and appropriate professional experience. Experience of working with Market Risk either from a Data Management, Risk data aggregation or risk reporting perspective. A strong understanding of the regulatory environment, frameworks and compliance requirements associated with financial services. Excellent knowledge of analysis and communication tools Excellent data analytical and problem-solving skills. Excellent communication and interpersonal skills for collaboration with stakeholders. Ability to work independently and manage multiple projects simultaneously and deliver high quality results under tight deadlines Expected to have experience working with BCBS 239, data lineage, and upstream data providers. Experience in establishing governance frameworks for effective processes & performance oversight. Experience in the usage of Industry standard data management tools such as Sparx, Collibra and Solidatus is preferable Experience in translating Core Data Standards into practical implementation How We’ll Support You Training and development to help you excel in your career Coaching and support from experts in your team A culture of continuous learning to aid progression A range of flexible benefits that you can tailor to suit your needs About Us And Our Teams Please visit our company website for further information: https://www.db.com/company/company.htm We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively. Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group. We welcome applications from all people and promote a positive, fair and inclusive work environment. Show more Show less

Overview We are seeking an experienced Data Architect with extensive expertise in designing and implementing modern data architectures. This role requires strong software engineering principles, hands-on coding abilities, and experience building data engineering frameworks. The ideal candidate will have a proven track record of implementing Databricks-based solutions in the healthcare industry, with expertise in data catalog implementation and governance frameworks. About The Role As a Data Architect, you will be responsible for designing and implementing scalable, secure, and efficient data architectures on the Databricks platform. You will lead the technical design of data migration initiatives from legacy systems to modern Lakehouse architecture, ensuring alignment with business requirements, industry best practices, and regulatory compliance. Key Responsibilities Design and implement modern data architectures using Databricks Lakehouse platform Lead the technical design of Data Warehouse/Data Lake migration initiatives from legacy systems Develop data engineering frameworks and reusable components to accelerate delivery Establish CI/CD pipelines and infrastructure-as-code practices for data solutions Implement data catalog solutions and governance frameworks Create technical specifications and architecture documentation Provide technical leadership to data engineering teams Collaborate with cross-functional teams to ensure alignment of data solutions Evaluate and recommend technologies, tools, and approaches for data initiatives Ensure data architectures meet security, compliance, and performance requirements Mentor junior team members on data architecture best practices Stay current with emerging technologies and industry trends Qualifications Extensive experience in data architecture design and implementation Strong software engineering background with expertise in Python or Scala Proven experience building data engineering frameworks and reusable components Experience implementing CI/CD pipelines for data solutions Expertise in infrastructure-as-code and automation Experience implementing data catalog solutions and governance frameworks Deep understanding of Databricks platform and Lakehouse architecture Experience migrating workloads from legacy systems to modern data platforms Strong knowledge of healthcare data requirements and regulations Experience with cloud platforms (AWS, Azure, GCP) and their data services Bachelor's degree in Computer Science, Information Systems, or related field; advanced degree preferred Technical Skills Programming languages: Python and/or Scala (required) Data processing frameworks: Apache Spark, Delta Lake CI/CD tools: Jenkins, GitHub Actions, Azure DevOps Infrastructure-as-code (optional): Terraform, CloudFormation, Pulumi Data catalog tools: Databricks Unity Catalog, Collibra, Alation Data governance frameworks and methodologies Data modeling and design patterns API design and development Cloud platforms: AWS, Azure, GCP Container technologies: Docker, Kubernetes Version control systems: Git SQL and NoSQL databases Data quality and testing frameworks Optional - Healthcare Industry Knowledge Healthcare data standards (HL7, FHIR, etc.) Clinical and operational data models Healthcare interoperability requirements Healthcare analytics use cases About Rackspace Technology We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future. More on Rackspace Technology Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know. Show more Show less

Overview We are seeking an experienced Data Architect with extensive expertise in designing and implementing modern data architectures. This role requires strong software engineering principles, hands-on coding abilities, and experience building data engineering frameworks. The ideal candidate will have a proven track record of implementing Databricks-based solutions in the healthcare industry, with expertise in data catalog implementation and governance frameworks. About The Role As a Data Architect, you will be responsible for designing and implementing scalable, secure, and efficient data architectures on the Databricks platform. You will lead the technical design of data migration initiatives from legacy systems to modern Lakehouse architecture, ensuring alignment with business requirements, industry best practices, and regulatory compliance. Key Responsibilities Design and implement modern data architectures using Databricks Lakehouse platform Lead the technical design of Data Warehouse/Data Lake migration initiatives from legacy systems Develop data engineering frameworks and reusable components to accelerate delivery Establish CI/CD pipelines and infrastructure-as-code practices for data solutions Implement data catalog solutions and governance frameworks Create technical specifications and architecture documentation Provide technical leadership to data engineering teams Collaborate with cross-functional teams to ensure alignment of data solutions Evaluate and recommend technologies, tools, and approaches for data initiatives Ensure data architectures meet security, compliance, and performance requirements Mentor junior team members on data architecture best practices Stay current with emerging technologies and industry trends Qualifications Extensive experience in data architecture design and implementation Strong software engineering background with expertise in Python or Scala Proven experience building data engineering frameworks and reusable components Experience implementing CI/CD pipelines for data solutions Expertise in infrastructure-as-code and automation Experience implementing data catalog solutions and governance frameworks Deep understanding of Databricks platform and Lakehouse architecture Experience migrating workloads from legacy systems to modern data platforms Strong knowledge of healthcare data requirements and regulations Experience with cloud platforms (AWS, Azure, GCP) and their data services Bachelor's degree in Computer Science, Information Systems, or related field; advanced degree preferred Technical Skills Programming languages: Python and/or Scala (required) Data processing frameworks: Apache Spark, Delta Lake CI/CD tools: Jenkins, GitHub Actions, Azure DevOps Infrastructure-as-code (optional): Terraform, CloudFormation, Pulumi Data catalog tools: Databricks Unity Catalog, Collibra, Alation Data governance frameworks and methodologies Data modeling and design patterns API design and development Cloud platforms: AWS, Azure, GCP Container technologies: Docker, Kubernetes Version control systems: Git SQL and NoSQL databases Data quality and testing frameworks Optional - Healthcare Industry Knowledge Healthcare data standards (HL7, FHIR, etc.) Clinical and operational data models Healthcare interoperability requirements Healthcare analytics use cases About Rackspace Technology We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future. Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent. Join us on our mission to embrace technology, empower customers and deliver the future. More on Rackspace Technology Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know. Show more Show less

Company Description At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that. Our technology helped people put a man on the moon. We are a key partner to some of the largest and highest growth organizations in the world. From energizing the most competitive gaming platforms, to enabling systems to make cities safer and cars smarter and more connected, to powering the data centers behind many of the world’s biggest companies and public cloud, Western Digital is fueling a brighter, smarter future. Binge-watch any shows, use social media or shop online lately? You’ll find Western Digital supporting the storage infrastructure behind many of these platforms. And, that flash memory card that captures and preserves your most precious moments? That’s us, too. We offer an expansive portfolio of technologies, storage devices and platforms for business and consumers alike. Our data-centric solutions are comprised of the Western Digital®, G-Technology™, SanDisk® and WD® brands. Today’s exceptional challenges require your unique skills. It’s You & Western Digital. Together, we’re the next BIG thing in data. Job Description ESSENTIAL DUTIES AND RESPONSIBILITIES Gathering data from diverse sources, including databases, APIs, and web scraping. Possessing deep knowledge of data analytics principles, tools, and technologies. Handling missing values, correcting errors, and ensuring data consistency, data quality, and optimizing data performance. Create and maintain data models that structure and organize data within a domain, ensuring clarity and consistency. Create data products, designed to solve specific business problems within a domain. Performing statistical analysis and modeling to identify trends, patterns, and relationships in the data. Preparing reports, presentations, and dashboards to communicate insights and findings. Using data to identify and solve business problems, improve processes, and make data-driven decisions. Collaborating with cross-functional teams including, Data Engineers, Data scientists, Business Analysts, Solution Architects, IT & Business teams. Document and maintain end to end data flows, Data Lineage, Data Catalog for various data marts. Be a liaison between solution architects, BSA’s and data engineers to ensure compliance to standards of Data integrations, data management and review the data solutions. Stay updated with the latest industry trends and best practices, sharing knowledge and encourage team to continuously improve their skill’s Qualifications REQUIRED Bachelor’s degree or higher in Computer Science or Engineering or related field Minimum 8+ years of experience working with diverse data platform technologies. Experience on any of the data Quality tools like Informatica Data Quality, Atlan, Collibra, etc. Demonstrable experience working with data structures coming from variety of ERP, CRM and other data sources. Experience working with at least one major cloud data platforms like AWS, Azure, Google, etc. Experience working with at least one modern Lakehouse platforms like Databricks, Snowflake, etc. Experience working with Tableau, Power BI, or other Data visualization tools. Develop Entity Relationship Diagrams using and data modeling tools. Functional domain knowledge in Finance, Supply chain with manufacturing background. Responsible for metadata management of data domain, inclusive of data definitions, data catalog, data lineage and documentation of data flow for critical processes, Sox compliance Partner with data governance team and business analysts Maintain in-depth understanding of business functions, processes, and relationships as it relates to data Skills Proven experience in data analysis, business intelligence, or related roles Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R, etc.). Proficiency in statistical analysis techniques and tools. Knowledge of machine learning and data mining techniques is desirable. Ability to analyze, communicate and solve complex problems. Additional Information Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the Equal Employment Opportunity is the Law poster. Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be 10/25/2024 , although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. Show more Show less

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Collibra Data Governance Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : Bachelor in Computer Science Summary: As a Data Platform Engineer, you will be responsible for assisting with the blueprint and design of the data platform components. Your typical day will involve collaborating with Integration Architects and Data Architects to ensure cohesive integration between systems and data models using Collibra Data Governance. Key Responsibilities: Knowledge of Collibra operating model, workflow BPMN development, and how to integrate various applications or systems with Collibra Good communication. Design of Data Governance Organization including steering committee, data governance office, stewardship layer and other working groups. Setup people and processes including relevant roles, responsibilities and controls, data ownership, workflows and common processes. Technical Experience Experience in Data Governance of wide variety of data types (structured, semi-structured and unstructured data) and wide variety of data sources (HDFS, S3, Kafka, Cassandra, Hive, HBase, Elastic Search) Working experience of Collibra operating model, workflow BPMN development, and how to integrate various applications or systems with Collibra. Experience in setting up people s roles, responsibilities and controls, data ownership, workflows and common processes. Integrate Collibra with other enterprise tools: Data Quality Tool, Data Catalog Tool, Master Data Management Solutions Develop and configure all Collibra customized workflows Develop API (REST, SOAP) to expose the metadata functionalities to the end-users. Professional Experience Working as SME in data governance, metadata management and data catalog solutions, specifically on Collibra Data Governance. Client interface and consulting skills required. Partner with Data Stewards for requirements, integrations and processes, participate in meetings and working sessions. Partner with Data Management and integration leads to continuously improve Data Management technologies and processes. Bachelor in Computer Science Show more Show less

The IT Business Lead Analyst is a senior-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: Provide input during development and implementation phases, including formulation and definition of systems scope, objectives and necessary system enhancements for complex, high-impact projects Identify and communicate risks and impacts and propose risk mitigation options, considering business implications of the application of technology to the current business environment Consult with business clients to determine system functional specifications and partner with multiple management teams and other units to meet organizational objectives Evaluate new IT developments and evolving business requirements and recommend appropriate systems alternatives and/or enhancements to current systems by analyzing business processes, systems and industry standards Provide in-depth and sophisticated analyses with interpretive thinking to define problems, develop innovative solutions and influence strategic functional decisions Supervise day-to-day staff management issues, including resource management, work allocation, mentoring/coaching and other duties and functions as assigned 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: 10-15 years of experience Proficiency in MS Office (Word, Excel, Visio, PowerPoint) with extensive experience using Excel for data analysis Experience with all phases of Software Development Life Cycle Comprehensive knowledge of the principles of business analysis Education: Bachelor's degree/University degree or equivalent experience Master's degree preferred 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 Lead Analyst (Vice President) to lead and manage 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: Lead and manage 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: 10+ 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 ------------------------------------------------------ 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. Show more Show less

Company Overview KKR is a leading global investment firm that offers alternative asset management as well as capital markets and insurance solutions. KKR aims to generate attractive investment returns by following a patient and disciplined investment approach, employing world-class people, and supporting growth in its portfolio companies and communities. KKR sponsors investment funds that invest in private equity, credit and real assets and has strategic partners that manage hedge funds. KKR’s insurance subsidiaries offer retirement, life and reinsurance products under the management of Global Atlantic Financial Group. References to KKR’s investments may include the activities of its sponsored funds and insurance subsidiaries. KKR's Gurugram office provides best in class services and solutions to our internal stakeholders and clients, drive organization wide process efficiency and transformation, and reflect KKR's global culture and values of teamwork and innovation. The office will contain multifunctional business capabilities and will be integral in furthering the growth and transformation of KKR. Team Overview KKR has built out an enterprise Data Operations group to collect, manage, and harness the power of data across our diverse business activities. The Data Operation Centre of Excellence (CoE) is a cross functional team dedicated to formulating & driving KKR’s enterprise data management strategy while also providing the operation leverage required to bring these strategies/frameworks to life. The Data Ops CoE consists of 2 focus areas (pillars); Data Management and Data Delivery. Position Overview The role is responsible for executing data management processes aimed at ensuring clean and quality data in the KKR data ecosystem. They will be part of KKR’s enterprise data group which collects, manages, and harnesses the power of data across our diverse portfolio investments. They will work collaboratively across the firm to set standards & best practices for data management while providing the operating leverage to centrally support the roll-out/ execution of these frameworks Roles & Responsibilities Operational Excellence Develop specifications as well as testing and enhancing tools/applications in conjunction with the IT team to maintain complete, accurate and up to date data Maintain consistent, accurate and complete data within KKR’s data ecosystem Implement data quality controls leveraging industry best tools i.e. Collibra Create and maintain data quality reporting functionality as per business needs Ensure data governance practices and activities are embedded across business units Execute and manage ad hoc data related projects within specified deadlines Collibra workflow development and maintenance Stakeholder Management Collaborate with engineering and IT to support and make recommendations for enhanced digital reporting capabilities and automated data reconciliation Communicate and work closely with relevant teams to close data gaps in a clear and timely manner Serve as point of contact for data-related questions and updates from various internal and external groups, delivering ad-hoc analytics to answer key business questions in a timely manner Reporting & Governance Design and document standard operating procedures for data management Implement and own best in class data governance practices; ensuring that data is well defined & transparently documented Qualifications Bachelor’s Degree or equivalent work experience required 2-4 years of data operation experience in financial services Experience in a multinational Financial Services organization and/or Private Equity preferred Ability to manage standard reports, templates & dashboards Ability to validate and review data Ability to provide support for internal stakeholders by sending reminders of emails, filling timesheets, collecting information as per service requests Ability to adhere to the compliance requirements of processes Ability to develop and enhance data protection and management tools or applications Ability to design and execute data management focusing on data governance and data quality activities. Experience of using tool like Collibra is a must. Systems/ Tools/ Application knowledge: Experience with process design and process enhancement Proficiency in data operations and data management Advanced proficiency in Excel Skills in a BI tool such as Power BI Advanced SQL skills Experience with Python is a plus Displays high attention to detail Demonstrates outstanding initiative and strong work ethic Focuses on delivery excellence and accountability Displays team-work orientation and is highly collaborative Displays strong integrity and professionalism Builds strong relationships with local and global colleagues Demonstrates strong track record in accuracy and organization Demonstrates excellent written, verbal, and interpersonal communication skills KKR is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law. Show more Show less

Job Title: Data Quality Lead Department: Data Governance / IT Location: Pune / Bangalore Experience: 6 -8 yrs Notice period: 30 days Key Responsibilities: Lead the development and implementation of the enterprise-wide Data Quality Define and monitor key data quality metrics across various business domains. Collaborate with IT and data governance teams to establish and enforce data governance policies and frameworks. Conduct regular data quality assessments to identify gaps and areas for improvement. Implement data cleansing, validation, and enrichment processes to enhance data accuracy and reliability. Preferred Skills: Experience with tools like Informatica, Talend, Collibra, or similar. Familiarity with regulatory requirements Certification in Data Management or Data Governance. Show more Show less

About Northern Trust Northern Trust, a Fortune 500 company, is a globally recognized, award-winning financial institution that has been in continuous operation since 1889. Northern Trust is proud to provide innovative financial services and guidance to the world’s most successful individuals, families, and institutions by remaining true to our enduring principles of service, expertise, and integrity. With more than 130 years of financial experience and over 22,000 partners, we serve the world’s most sophisticated clients using leading technology and exceptional service. Key Responsibilities ER/Studio Support & Administration Provide day-to-day support for the ER/Studio platform, including troubleshooting issues and resolving system errors. Maintain and upgrade the ER/Studio environment, ensuring compatibility with database systems and tools. Monitor system performance and address any bottlenecks or downtime. Configuration & Customization Configure ER/Studio repositories and user roles to meet organizational requirements. Customize templates, metadata, and data dictionaries within ER/Studio. Create and maintain naming standards and business glossaries. Development & Integration Design and implement logical and physical data models using ER/Studio. Integrate ER/Studio with other data tools, such as Collibra, Snowflake, or SQL-based platforms. Collaboration & Documentation Collaborate with data architects, business analysts, and development teams to gather requirements. Document all system changes, configurations, and data models. Train and support end-users in utilizing ER/Studio features effectively. Technical Skills And Requirements Experience with ER/Studio Hands-on experience with ER/Studio Enterprise Team Edition or equivalent. Proficiency in data modeling (conceptual, logical, and physical) using ER/Studio. Knowledge of repository management and collaboration features in ER/Studio. Database Knowledge Strong understanding of RDBMS (e.g., SQL Server, Oracle, PostgreSQL, or Snowflake) Familiarity with SQL scripting for queries and optimization. Metadata Management Experience managing metadata, data dictionaries, and glossaries within ER/Studio. Ability to map metadata between ER/Studio and external systems or tools. Integration and Scripting Knowledge of integrating ER/Studio with BI tools, data governance platforms (e.g., Collibra), or ETL tools. Familiarity with APIs and scripting languages (e.g., Python) for automation. Version Control & Repository Management Experience managing version control and branching for data models in ER/Studio. Understanding of team collaboration and repository synchronization. Soft Skills Strong problem-solving skills and attention to detail. Ability to communicate complex technical concepts to non-technical stakeholders. Collaborative mindset and ability to work in a team-oriented environment. Working With Us As a Northern Trust partner, greater achievements await. You will be part of a flexible and collaborative work culture in an organization where financial strength and stability is an asset that emboldens us to explore new ideas. Movement within the organization is encouraged, senior leaders are accessible, and you can take pride in working for a company committed to assisting the communities we serve! Join a workplace with a greater purpose. We’d love to learn more about how your interests and experience could be a fit with one of the world’s most admired and sustainable companies! Build your career with us and apply today. #MadeForGreater Reasonable accommodation Northern Trust is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation for any part of the employment process, please email our HR Service Center at MyHRHelp@ntrs.com. We hope you’re excited about the role and the opportunity to work with us. We value an inclusive workplace and understand flexibility means different things to different people. Apply today and talk to us about your flexible working requirements and together we can achieve greater. Show more Show less