866 Collibra Jobs - Page 6

Are you ready to contribute to Mondelz International's mission of leading the future of snacking with pride As a member of the analytics team, you will play a vital role in supporting the business by developing data models that uncover trends essential for driving long-term business results. In this role, you will work closely with analytics team leaders to execute the business analytics agenda, collaborate with external partners adept in leveraging analytics tools and processes, and utilize models/algorithms to identify signals, patterns, and trends that can enhance long-term business performance. Your methodical approach to executing the business analytics agenda will effectively communicate the value of analytics to stakeholders. To excel in this position, you should possess a strong desire to propel your career forward and have experience in utilizing data analysis to provide recommendations to analytic leaders. Familiarity with best-in-class analytics practices, Key Performance Indicators (KPIs), and BI tools such as Tableau, Excel, Alteryx, R, and Python will be advantageous. As a DaaS Data Engineer at Mondelz International, you will have the exciting opportunity to design and construct scalable, secure, and cost-effective cloud-based data solutions. Your responsibilities will include developing and maintaining data pipelines, ensuring data quality, optimizing data storage, and collaborating with various teams and stakeholders to stay abreast of the latest cloud technologies and best practices. Key responsibilities of this role involve designing and implementing cloud-based data solutions, managing data pipelines for data extraction and transformation, maintaining data quality and validation processes, optimizing data storage for efficiency, and fostering collaboration with data teams and product owners to drive innovation. In terms of technical requirements, proficiency in programming languages like Python, PySpark, and Go/Java, database management skills in SQL and PL/SQL, expertise in ETL & Integration tools, data warehousing concepts, visualization tools, and cloud services such as GCP and AWS is essential. Experience with supporting technologies and soft skills like problem-solving, communication, analytical thinking, attention to detail, and adaptability will further enhance your effectiveness in this role. Mondelz International offers within country relocation support and minimal assistance for candidates considering international relocation through the Volunteer International Transfer Policy. Join us in empowering people to snack right with our diverse portfolio of globally recognized brands and be a part of a dynamic community that is driving growth and living our purpose and values.,

You will be responsible for defining the enterprise data architecture using Snowflake and modern cloud platforms. This will involve designing and managing the implementation of high-performance ELT/ETL pipelines, providing architectural guidance on data modeling, data mesh, and data lake structures, and ensuring cost optimization, platform security, and scalability across deployments. Additionally, you will collaborate with cross-functional teams (Product, BI, DevOps, Security) for smooth delivery and drive the adoption of Snowflake best practices, version upgrades, and feature enablement. You will also review and approve data solution architectures to ensure alignment with business goals. To be successful in this role, you should have at least 10 years of experience in data engineering or architecture, with a minimum of 4 years of hands-on experience with Snowflake. You should possess deep expertise in Snowflake internals such as storage architecture, caching, clustering, and performance tuning, as well as a strong understanding of data architecture principles including data lakes, data mesh, and dimensional modeling. Proven experience integrating Snowflake with tools like Kafka, Airflow, dbt, Fivetran, etc. is required, along with proficiency in SQL, Python, and cloud ecosystems (AWS, Azure, or GCP). Familiarity with DevOps/IaC tools like Terraform is also preferred. Additionally, experience with data governance tools (e.g., Collibra, Alation), SnowPro Advanced Architect certification, and hands-on leadership in large-scale data platform migrations or cloud modernization initiatives are considered advantageous. A Bachelors or Masters degree in Computer Science, Engineering, or a related field is required for this position. Joining us will allow you to lead mission-critical data initiatives with cutting-edge cloud tools and collaborate with passionate engineering and analytics professionals. This is a full-time position with health insurance benefits included. The work location is in person.,

You will be part of a team of over 130 data consultants, each with diverse profiles, covering a wide range of data issues and enriching each other's experiences. You will have the opportunity to work in a 600m innovation lab dedicated to Data, being the global leader in innovation and supply chain consulting, and working with an experienced team dedicated to excellence in guiding projects and helping you grow. You will work on a variety of projects for major national and international clients. As a Consultant specializing in Data Governance and Data Management at EY Data & Analytics, your responsibilities will include: - Supporting clients in designing, defining, and implementing their Data Governance and Data Management initiatives. - Operationally participating in Data Governance and Data Management initiatives by collaborating with clients to establish data governance and management strategies, activities, processes, and necessary tools. - Leading teams and workshops for co-creation and evangelization, such as identifying data use cases with business units for inclusion in the data roadmap and creating governance actor networks. - Assisting clients in understanding Data Governance and Data Management and raising awareness about the importance of these topics. - Identifying appropriate technological solutions for client needs and supporting clients in their implementation. - Contributing to the selection and implementation of tools such as Data Catalogs, Data Marketplaces, Master Data Management (MDM) solutions, and overall Data Quality tools. - Conducting technological watch activities and facilitating knowledge-sharing sessions by sharing your internal experiences. The ideal candidate for this role should have at least 4 years of experience in a consulting firm focusing on Data Governance and Data Management. You should have practical and successful experience implementing data governance in organizations and possess functional and technical skills in leading market solutions. Additionally, you should be able to support data offices, Chief Data Officers, business units, and operational stakeholders, while effectively communicating and providing long-term guidance. Autonomy, pragmatism, and a passion for sharing experiences lively are key attributes for success in this role. At EY Consulting, you will have the opportunity to: - Work with top international clients in leading sectors within diverse and multicultural teams. - Benefit from a comprehensive and personalized training program and have a mentor throughout your career. - Be part of international competence and sectoral communities, consisting of top professionals in Europe. - Contribute to a zero-carbon consultancy. EY places Corporate Social Responsibility at the core of its strategic project with the ambition to evolve its internal practices. - Experience geographical mobility and explore other cultures through the Mobility4U program. - Engage in internal networks related to ecology, diversity, inclusion, and support initiatives of the active foundation on impactful causes. - Participate in various EY events such as Entrepreneur of the Year, Women In, T-DAY, Sustainable Futures, etc. In line with its Diversity, Equity, and Inclusion policy, EY considers all applications, including those from individuals with disabilities, on an equal skills basis.,

Role Description: You will play a key role in the implementation and adoption of the data governance framework which will modernize Amgen's data ecosystem, positioning Amgen as a leader in biopharma innovation. This role leverages state-of-the-art technologies, including Generative AI, Machine Learning, and integrated data. You will leverage domain, technical and business process expertise to provide exceptional support of Amgen’s data governance framework. This role involves working closely with business stakeholders and data analysts to ensure implementation and adoption of the data governance framework. You will collaborate with the Product Owner and other Business Analysts to ensure operational support and excellence from the team. Roles & Responsibilities: Responsible for the data governance and data management framework implementation for a given domain of expertise (Research, Development, Supply Chain, etc.). Responsible for the operationalization of the Enterprise data governance framework and aligning broader stakeholder community with their data governance needs, including data quality, data access controls, compliance with privacy and security regulations, foundational master data management, data sharing, communication and change management. Works with Enterprise MDM and Reference Data to enforce standards and data reusability. Drives cross functional alignment in his/her domain(s) of expertise to ensure adherence to Data Governance principles. Create and maintain privacy policies and procedures to protect sensitive data and ensure compliance. Conduct regular privacy risk assessments and audits to identify and mitigate potential risks as required Maintain documentation on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for assigned domains. Ensure compliance requirements with data privacy, security, and regulatory policies for the assigned domains including GDPR, CCPA, and other relevant legislations. Jointly with Technology teams, business functions, and enterprise teams (e.g., MDM, Enterprise Data Fabric, etc.) define the specifications shaping the development and implementation of data foundations . Build strong relationships with key business leads and partners to ensure their needs are being met Functional Skills: Must-Have Functional Skills: Technical skills with knowledge of Pharma processes with specialization in a domain (e.g., Research, Clinical Trials, Commercial, etc.) In depth knowledge of data management, common data models, metadata management, data quality, master data management, data stewardship, data protection, etc. Strong understanding of data protection laws and regulations, including GDPR, CCPA, and other relevant legislations. In depth experience with data products development life cycle, including the enablement of data dictionaries, business glossary to increase data products reusability and data literacy. Customer-focused with excellent written and verbal communication skills who can confidently work with internal Amgen business stakeholders and external service partners on business process and technology topics In depth experience of working with or supporting systems used to data governance framework. E.g. Collibra, Alation Excellent problem-solving skills and committed attention to detail in finding solutions Good-to-Have Functional Skills: Experience of working with data governance councils or forums Experience with Agile software development methodologies (Scrum) Proficiency in data analysis and quality tools (e.g., SQL, Excel, Python, or SAS) 3-5 years of experience in data privacy, compliance, or a related field. Soft Skills: Integrity: Commitment to maintaining the highest ethical standards and protecting confidential information. Adaptability: Ability to adapt to changing regulations and emerging privacy challenges. Proactivity: Self-motivated with a proactive approach to identifying and addressing privacy issues. Leadership: Strong leadership skills and the ability to influence and drive change within the organization. Highly organized and able to work under minimal supervision Excellent analytical and assessment skills Ability to work effectively with global, virtual teams Ability to manage multiple priorities successfully Team-oriented, with a focus on achieving team goals Ambitious to further develop their skills and career Ability to build business relationships and understand end-to-end data use and needs. Excellent interpersonal skills (team player). People management skills either in matrix or direct line function. Strong verbal and written communication skills High degree of initiative and self-motivation. Good presentation and public speaking skills. Strong attention to detail, quality, time management and customer focus. Basic Qualifications: Any Degree and 9-13 years of experience

Job Requirements Role/ Job Title: Analyst-Data governance Business: Data & Analytics Function/ Department: Data & Analytics Place of Work: Mumbai Job Purpose Senior data Analyst (DG) will work within Data & Analytics Office to implement data governance framework with a focus on improvement of data quality, standards, metrics, processes. Align data management practices with regulatory requirements. Understanding of lineage – How the data is produced, managed and consumed within the Banks business process and system. . Roles & Responsibilities Design and implement data quality rules, Monitoring mechanism Analyze data quality issue and collaborate with business stakeholders to address the issue resolution, Build recovery model across Enterprise. knowledge of DG technologies for data quality and metadata management (Ovaledge, Talend, Collibra etc) Support in development of Centralized Metadata repositories (Business glossary, technical metadata etc), Captures business/Data quality rules and design DQ reports & Dashboards Minimum 1 to 2 years of experience in Data governance Key Success Metrics Successful implementation of DQ framework across business line.

Roles and Responsibilities Collaborate with cross-functional teams to design, develop, test, deploy, and maintain Collibra DQ solutions. Ensure seamless integration of Collibra DQ with other systems using APIs. Provide technical guidance on data governance best practices to stakeholders. Troubleshoot issues related to Collibra DQ implementation and provide timely resolutions. Participate in agile development methodologies such as Scrum. Desired Candidate Profile 4-9 years of experience in Collibra Data Quality (DQ) development or similar roles. Strong understanding of SQL queries for data extraction and manipulation. Experience working with API integrations for system connectivity. Bachelor's degree in Any Specialization (BCA or B.Sc). Proficiency in Agilent tools for testing purposes.

Greeting from PwC We are hiring Data Catalog candidates for DG Team Job Title: Data Catalog Location: Pan India Experience: 4 to 12 years Notice period: Immediate to 30 days Interested candidates fill below form: https://forms.office.com/r/FgQi0MKtHb About Us: At PwC, we are dedicated to building trust and solving important problems. Our Data Governance Practice is pivotal in enabling our clients to leverage their data assets effectively while ensuring compliance and security. We are seeking an experienced Data Catalog Consultant/Manager with expertise in Collibra, Informatica Data Management Cloud (IDMC), and Microsoft Purview to join our team and enhance data cataloging initiatives for our diverse clientele. Role Summary: As a Data Catalog Consultant/Manager, you will be responsible for designing and implementing data catalog solutions that improve data discovery, accessibility, and governance across our clients' organizations. You will leverage your expertise in Collibra, IDMC, and Purview to develop robust data catalog frameworks and collaborate with cross-functional teams to align data assets with business objectives. Key Responsibilities: Data Catalog Strategy and Implementation: Engage with clients to understand their data catalog and governance needs. Design and implement comprehensive data catalog solutions using Collibra, IDMC, and Purview. Provide expert advice on industry best practices and emerging trends in data cataloging and governance. Collibra, IDMC, and Purview Expertise: Utilize Collibra, IDMC, and Purview to manage and enhance data catalog processes. Configure and customize data catalog tools to meet specific client requirements. Ensure seamless integration of data catalog solutions with existing data governance systems. Monitoring and Continuous Improvement: Establish data catalog metrics and KPIs to assess effectiveness and drive continuous improvement. Conduct regular audits and assessments to ensure data catalog standards are maintained. Facilitate workshops and training sessions to promote data catalog awareness and best practices. Collaboration and Leadership: Collaborate with data architects, data analysts, IT, legal, and compliance teams to integrate data cataloging into broader data management initiatives. Mentor and guide junior team members, fostering a culture of knowledge sharing and professional growth. Qualifications: Bachelor’s or Master’s degree in Information Systems, Data Management, Computer Science, or a related field. Proven experience in data cataloging and governance, preferably within a consulting environment. Expertise in Collibra, Informatica Data Management Cloud (IDMC), and Microsoft Purview. Strong understanding of data governance frameworks, tools, and technologies. Excellent analytical and problem-solving skills. Strong communication and interpersonal skills, with the ability to influence stakeholders at all levels. Relevant certifications in Collibra, Informatica, and Microsoft Purview are advantageous. What We Offer: A dynamic and inclusive work environment that values collaboration and innovation. Opportunities for professional development and career advancement. Competitive salary and benefits package. The chance to work with industry-leading clients and cutting-edge technologies.

Position: Data Steward and Analyst Experience: 2–4 Years Location: Mahape, Mumbai, India Email ID for CV sharing: tanya@zyoin.com About the Role: We are seeking a proactive and detail-oriented Data Steward and Analyst to drive metadata standardization and data ownership across enterprise systems. This role will be responsible for defining, maintaining, and enriching metadata assets including business glossaries, data dictionaries, and ownership hierarchies. The ideal candidate will collaborate with business and technical stakeholders to enhance data discoverability, trust, and compliance. Hands-on experience to implement, configure, and maintain Data Governance tools is essential, with preference given to those familiar with Ab Initio (preferred), Informatica, Talend, Atlan, Databricks, or Snowflake . If you’re passionate about building robust data governance frameworks and thrive in a dynamic environment, this is an excellent opportunity to advance your career. Responsibilities: Define, maintain, and govern enterprise-wide Business Glossary and Metadata Hub , ensuring consistent and standardized definitions across domains. Collaborate with Data Owners, SMEs, and Data Architects to assign data ownership, stewardship roles, and accountability for critical data assets. Support ongoing metadata curation and enrichment efforts, ensuring metadata completeness, quality, and alignment with business objectives. Establish workflows for metadata onboarding, change management, versioning, and lifecycle governance . Work closely with Governance, Risk, Compliance, and IT teams to support data classification, policy enforcement, and regulatory alignment . Assist in generating data lineage documentation and support catalogue integration efforts. Provide periodic reports and metrics on metadata completeness, glossary usage, and stewardship activities. Champion metadata awareness and drive data literacy initiatives across business units. Guide adoption and optimization of data governance tools like Ab Initio (Preferred), Informatica, Atlan, or Snowflake . Define roles and responsibilities for data stewards and custodians. Train and evangelize data governance practices across departments. Support audit and compliance reporting through accurate data lineage and usage logs. Ensure business continuity with proper data backup, archival, and purging strategies . Align governance goals with broader digital transformation and analytics strategies . Technical Skills: Strong understanding of Data Governance principles, metadata management, and data stewardship frameworks . Hands-on experience with Business Glossary, Metadata Hub, or metadata management/collaboration tools (e.g., Collibra, Informatica, Alation). Excellent documentation, communication, and stakeholder engagement skills. Working knowledge of data modelling, data lineage, and data quality concepts . Familiarity with SQL, ETL/ELT pipelines, cloud data warehouses (BigQuery, Snowflake, GCP lakes) . Knowledge of Python, Shell Scripting, JSON, Java 8+, Spring Boot, REST APIs, GCP . Debugging and design skills. Awareness of GenAI, LLM, RAG, Agentic RAG is a plus. Qualifications: BE/B.Tech and/or M.Tech in any discipline. 2–4 years of experience in metadata governance, business glossary management, and data ownership frameworks . Familiarity with Ab Initio Metadata Hub and Business Glossary is a strong plus. Exposure to cloud data platforms (AWS, GCP, or Azure) and modern data stacks is an advantage. Strong problem-solving, collaboration, and communication skills.

Company Qualcomm India Private Limited Job Area Information Technology Group, Information Technology Group > IT Management General Summary Data Platform, Engineering and Operations lead will play a pivotal role in shaping the future of our data capabilities as part of strategic and critical Enterprise Data Transformation (EDT) program. We're seeking a visionary, hands-on leader to drive the build out of a modern enterprise-wide lake house, ensuring reliability, scalability, security, and compliance. and enabling cutting edge analytics solutions. This role will be leading a talented team of platform and data engineers, fostering a culture of excellence while balancing speed of delivery with innovation and operational excellence. This role will also collaborate with cross functional teams (Solution engineers, SMEs) to align data platform, engineering and operational efforts with business objectives. Key Responsibilities Vision and Strategy: Define and lead the vision, strategy, roadmap for data platforms (data lakes, warehouses, governance, data quality, onservability etc.), aligning with business objectives and technological advancements to enable data platforms as the strategic enabler for AI Relentless Execution of Data Platform(s) Development: Oversee rapid incremental delivery of design, development, and deployment of data platforms/products/solutions, including platform engineering to facilitate frameworks, self-service templates and agentic automation ensuring seamless data integration, quality, compliance and security. Data Engineering: Lead core technical Data Engineering team for all building reusable frameworks for data pipeline development from ingestion to analytics/AI ready data for diverse data volumes, variety and frequency (streaming, batch, microbatches) with build in governance and security. Lead the migration of pipelines from legacy warehouses to a modern lakehouse hub, embrace GenAI and low code/no code mindset to drive velocity of pipeline development. Self Service and CoE Enablement: Partner with business stakeholders and internal data solutions team to empower business for self-service. Establish and lead CoE’s for BI with platform and enablement from ideation to adoption at the core DecSecOps: Establish robust DevSecOps capabilities with a rigorous focus on automation of data pipeline delivery process with built in security controls Oversee Operations: Manage the day-to-day operations of data platforms, ensuring reliability, performance, and scalability. Establish and track data SLA’s key performance indicators (KPIs) to measure and drive operational maturity Cross-Functional Collaboration: Collaborate with IT and Business with a product mindset to ensure data platforms meet business needs and to drive innovation. Also collaborate with teams across the globe and vendors to ensure high quality and timely delivery. Hands-On Leadership with Engineering Mindest: Be actively involved in details of execution (technical, architectural, delivery, troubleshooting) providing technical oversight with an engineering mindset to drive velocity of development work Challenge Status Quo: Encourage innovation and continuous improvement by challenging existing processes and proposing new solutions. ' - 14+ years of IT-related work experience in Data and Analytics domain with a Bachelor's degree. 7+ years of supervisory or leadership experience. 3+ years of work experience in a role requiring interaction with senior leadership, leading modernization of Data platforms, Engineering and Operations. Hands-on technical experience with AWS, Databricks data platform Solid hands-on experience in Data Engineering, Data Analysis, Data Modelling and enabling Analytics solutions Passion to explore emerging technologies and perform Proof Of Concepts (POC) Ability to work independently and collaborate with business and cross functional teams Accountability and Ownership of the delivery in driving the projects to completion Minimum Qualifications 7+ years of IT-related work experience with a Bachelor's degree. OR 9+ years of IT-related work experience without a Bachelor’s degree. 4+ years in a leadership role in projects/programs. 14+ years of experience in data management, data engineering, or data science roles, with at least 7 years in a leadership position, leading data modernization and DW migration efforts. Strong understanding and hands-on experience with lakehouse medallion data architecture, data engineering, operations and govenance Proven implementation experience with data platforms Databricks, Fivetran, Collibra, Acceldata, AWS and other cloud based BI and GenAI solutions like ThoughtSpot, Tableau on Cloud. Thorough knowledge in establishing end-to-end DevSecOps and release management process from Git integration to Deployment Strong passion in driving the technical data engineering team with prime focus on reusable frameworks and GenAI agentic co-development for faster development and execution Ability to build and scale data operations team with state-of-the-art Observability & Monitoring capabilities for supporting the stakeholders in 24x7 model Experience with machine learning, artificial intelligence, and predictive analytics is a plus. Excellent leadership, communication, and collaboration skills in a global hybrid delivery model Strong problem-solving skills with strategic thought process and self-initiative and proctive soft skills Proven track record of leading a strong technical team and collaborating with data engineers, architects, modelers, analysts and data scientists Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

As a Data & Analytics professional in the Logistics & Freight Forwarding industry, your primary responsibility will be to lead the modernization of legacy systems into scalable, cloud-based data frameworks. You will play a crucial role in integrating structured and unstructured data into unified insights platforms. Your expertise will be essential in implementing data governance standards such as GDPR and ISO 27001 to ensure data quality and manage privacy compliance effectively. In this role, you will drive self-service Business Intelligence (BI), develop dashboards, and create predictive models using tools like Power BI, Azure, and Snowflake. Your ability to translate complex data into actionable business insights will be instrumental in shaping data-driven strategies within the organization. Leading the ETL pipeline development, managing SQL/NoSQL data migrations, and optimizing performance will be key aspects of your responsibilities. Collaborating cross-functionally with business, tech, and analytics teams to prioritize data needs and cultivate a data-driven culture will be essential for success in this role. Furthermore, your role will involve building and mentoring a high-performing data team comprising analysts, scientists, and architects. Encouraging experimentation and fostering innovation will be integral to driving continuous improvement and growth within the team. To excel in this position, you should possess 10-12 years of experience in Data & Analytics roles with a track record of successful modernization project delivery. Hands-on experience with Power BI, SQL, Python, data lakes, and cloud warehouses (AWS, Azure, Snowflake) is essential. Strong business acumen, stakeholder engagement skills, and exposure to machine learning and data governance tools are highly desirable qualities for this role. Key Deliverables for this position include establishing a centralized data platform with standardized pipelines and reporting stack, developing KPI-driven dashboards and AI/ML-powered analytics, implementing a robust data governance and compliance framework, fostering a high-performance data team, and cultivating a company-wide data culture aligned with business strategies for growth, efficiency, and insights.,

As a Data Governance Specialist at Collibra, you will be responsible for managing and maintaining the Collibra Data Catalog, Data Dictionary, and Business Glossaries. Your role will involve implementing and supporting data quality rules, custom lineage stitching, and metadata ingestion processes. Additionally, you will participate in workflow creation and configuration within Collibra, collaborating with business stakeholders to maintain high-quality metadata. It is essential to apply data governance frameworks to ensure regulatory compliance with standards such as GDPR and HIPAA. Supporting data lifecycle initiatives from creation to archival and working cross-functionally in a Scrum/Agile environment are also key responsibilities. To excel in this role, you should have at least 2 years of hands-on experience with Collibra, preferably in a data steward role, and a minimum of 3 years in a data governance team or function. A strong understanding of data management, data lineage, and best practices in data quality is crucial. Your experience should also include metadata management, lineage stitching, and automating data processes. Excellent communication skills, both technical and business-facing, will be essential for effective collaboration. While not mandatory, it would be beneficial to have experience or understanding of Master Data Management (MDM) and Collibra certifications such as Ranger or Expert. Exposure to tools like Informatica, Azure Purview, Alation, or Tableau would also be advantageous in this role. If you are ready to take on this exciting opportunity, connect with us at shalini.v@saranshinc.com.,

The associate consultant, Risk Data Governance, at Northern Trust will be a key member of the Risk Analytics and Data Services team. Your responsibilities will mainly involve business process analysis, data governance, and reporting. You will work under supervision and in a team environment, performing tasks such as requirements gathering, process analysis, documentation, and reporting/visualization. You will be based in Bangalore and follow a hybrid model, with 3 days per week in the office. The ideal candidate for this role should have 4-6 years of relevant experience. Your major duties will include: - Developing data sets using PL/SQL and other Data Integration tools for analytical solutions - Understanding business processes, analyzing multiple data sources/systems, translating business requirements into technical specifications, and collaborating with technical developers/business stakeholders - Creating dashboards and ad-hoc reporting using self-service tools like Power BI, Incorta, and Collibra - Developing solutions that leverage existing Data Warehouse & Business Intelligence infrastructure, are integrated with data governance and enterprise solutions, scalable, repeatable, and follow governance and technology policies - Identifying opportunities for enhancing the value proposition along the data chain, ensuring timely issue resolution, and improving data flow and quality processes - Analyzing critical data elements related to Risk and Compliance Qualifications required for this role include a Master's or Bachelor's Degree in Computer Science, Information Technology, Computer Applications, Data Analytics, or a related field, preferably from a Tier 1 institution. Key skills required: - 4-6 years of experience as a Data Engineer/Database Developer in RDBMS like Oracle, SQL Server with data architecture/modelling skills - Proficiency in database development in SQL & PL/SQL, with a conceptual understanding of data modeling and data warehousing - Knowledge of ETL tools such as DataStage or Informatica Power Center will be beneficial - Intermediate working knowledge of data visualization tools like Power BI is advantageous - Experience in the Banking and Financial Services industry & Collibra is preferred - Strong communication, presentation, stakeholder management, analytical, and problem-solving skills At Northern Trust, you will be part of a flexible and collaborative work culture in an organization that values financial strength and stability. The company encourages movement within the organization, offers accessibility to senior leaders, and is committed to assisting the communities it serves. Northern Trust is committed to providing reasonable accommodations to individuals with disabilities. If you require accommodations during the employment process, please contact the HR Service Center at MyHRHelp@ntrs.com. If you are excited about this role and the opportunity to work with Northern Trust, apply today and discuss your flexible working requirements. Join a workplace where greater achievements await!,

Company: Qualcomm India Private Limited Job Area: Information Technology Group, Information Technology Group > IT Management General Summary: Data Platform, Engineering and Operations lead will play a pivotal role in shaping the future of our data capabilities as part of strategic and critical Enterprise Data Transformation (EDT) program. We're seeking a visionary, hands-on leader to drive the build out of a modern enterprise-wide lake house, ensuring reliability, scalability, security, and compliance. and enabling cutting edge analytics solutions. This role will be leading a talented team of platform and data engineers, fostering a culture of excellence while balancing speed of delivery with innovation and operational excellence. This role will also collaborate with cross functional teams (Solution engineers, SMEs) to align data platform, engineering and operational efforts with business objectives. Key Responsibilities: Vision and Strategy: Define and lead the vision, strategy, roadmap for data platforms (data lakes, warehouses, governance, data quality, onservability etc.), aligning with business objectives and technological advancements to enable data platforms as the strategic enabler for AI Relentless Execution of Data Platform(s) Development: Oversee rapid incremental delivery of design, development, and deployment of data platforms/products/solutions, including platform engineering to facilitate frameworks, self-service templates and agentic automation ensuring seamless data integration, quality, compliance and security. Data Engineering: Lead core technical Data Engineering team for all building reusable frameworks for data pipeline development from ingestion to analytics/AI ready data for diverse data volumes, variety and frequency (streaming, batch, microbatches) with build in governance and security. Lead the migration of pipelines from legacy warehouses to a modern lakehouse hub, embrace GenAI and low code/no code mindset to drive velocity of pipeline development. Self Service and CoE Enablement: Partner with business stakeholders and internal data solutions team to empower business for self-service. Establish and lead CoE’s for BI with platform and enablement from ideation to adoption at the core DecSecOps: Establish robust DevSecOps capabilities with a rigorous focus on automation of data pipeline delivery process with built in security controls Oversee Operations: Manage the day-to-day operations of data platforms, ensuring reliability, performance, and scalability. Establish and track data SLA’s key performance indicators (KPIs) to measure and drive operational maturity Cross-Functional Collaboration: Collaborate with IT and Business with a product mindset to ensure data platforms meet business needs and to drive innovation. Also collaborate with teams across the globe and vendors to ensure high quality and timely delivery. Hands-On Leadership with Engineering Mindest: Be actively involved in details of execution (technical, architectural, delivery, troubleshooting) providing technical oversight with an engineering mindset to drive velocity of development work Challenge Status Quo: Encourage innovation and continuous improvement by challenging existing processes and proposing new solutions. ' - 14+ years of IT-related work experience in Data and Analytics domain with a Bachelor's degree. 7+ years of supervisory or leadership experience. 3+ years of work experience in a role requiring interaction with senior leadership, leading modernization of Data platforms, Engineering and Operations. Hands-on technical experience with AWS, Databricks data platform Solid hands-on experience in Data Engineering, Data Analysis, Data Modelling and enabling Analytics solutions Passion to explore emerging technologies and perform Proof Of Concepts (POC) Ability to work independently and collaborate with business and cross functional teams Accountability and Ownership of the delivery in driving the projects to completion Minimum Qualifications: 7+ years of IT-related work experience with a Bachelor's degree. OR 9+ years of IT-related work experience without a Bachelor’s degree. 4+ years in a leadership role in projects/programs. 14+ years of experience in data management, data engineering, or data science roles, with at least 7 years in a leadership position, leading data modernization and DW migration efforts. Strong understanding and hands-on experience with lakehouse medallion data architecture, data engineering, operations and govenance Proven implementation experience with data platforms Databricks, Fivetran, Collibra, Acceldata, AWS and other cloud based BI and GenAI solutions like ThoughtSpot, Tableau on Cloud. Thorough knowledge in establishing end-to-end DevSecOps and release management process from Git integration to Deployment Strong passion in driving the technical data engineering team with prime focus on reusable frameworks and GenAI agentic co-development for faster development and execution Ability to build and scale data operations team with state-of-the-art Observability & Monitoring capabilities for supporting the stakeholders in 24x7 model Experience with machine learning, artificial intelligence, and predictive analytics is a plus. Excellent leadership, communication, and collaboration skills in a global hybrid delivery model Strong problem-solving skills with strategic thought process and self-initiative and proctive soft skills Proven track record of leading a strong technical team and collaborating with data engineers, architects, modelers, analysts and data scientists Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Description – Data Privacy (Senior Consultant / Deputy Manager / Manager / Senior Manager) Location: Remote (India) Travel Requirement: Middle East (project-to-project basis) Experience Required: Minimum 3+ years (Senior Consultant) | Upto 12+ years (Senior Manager) Qualification: B.Tech / B.E. preferred; certifications in Data Privacy will be an advantage. About the Role We are seeking highly motivated Data Privacy professionals at various seniority levels to join our growing consulting team. The role involves working with global clients, primarily in the BFSI, Telecom, Technology, and Consulting sectors, to design, implement, and manage data privacy frameworks while ensuring compliance with international regulations. This is a remote opportunity from India , but candidates should be open to frequent travel to the Middle East on an engagement basis . Key Responsibilities For All Levels Assist clients in assessing, designing, and implementing data privacy frameworks aligned with GDPR, DIFC, ADGM, PDPL, CCPA, and other relevant regulations. Perform privacy impact assessments (PIAs) and data protection impact assessments (DPIAs) . Develop and review privacy policies, procedures, and controls for organizations. Advise clients on data classification, retention, transfer, and governance strategies . Collaborate with cross-functional teams, legal advisors, and IT security specialists. Manage privacy-related incidents and support breach notification processes. Provide guidance on privacy-by-design practices for new systems, products, and technologies. Additional Responsibilities Based on Level Senior Consultant (3–5 years) Conduct data mapping exercises and develop data inventory frameworks. Support implementation of privacy tools and automation solutions. Prepare privacy training material and deliver internal awareness sessions. Deputy Manager (5–7 years) Lead small teams to manage multiple client engagements simultaneously. Drive risk assessments, privacy audits, and compliance reviews. Support clients in interpreting and complying with data localization and cross-border data transfer requirements. Manager (7–10 years) Manage complex privacy transformation projects end-to-end. Act as a subject-matter expert (SME) in client discussions and solution design. Develop proposals, contribute to business development, and lead client pitches. Senior Manager (10–12+ years) Oversee a portfolio of privacy consulting engagements across multiple geographies. Build client relationships and act as a trusted advisor for C-level stakeholders. Contribute to thought leadership , regulatory advocacy, and capability building. Mentor and coach cross-functional teams to enhance organizational expertise. Required Skills & Experience Educational Qualification: B.Tech / B.E. preferred. Certifications (good to have) : CIPP/E, CIPM, CIPT, ISO 27701 LA/LI, DCPP, or equivalent. Experience with privacy regulations such as GDPR, DIFC, ADGM, PDPL, CCPA, HIPAA, etc. Strong understanding of privacy tools and technologies like OneTrust, TrustArc, BigID, Collibra, etc. Experience working with data governance, information security, and risk management teams. Excellent communication, stakeholder management, and client engagement skills. Willingness to travel to the Middle East based on project requirements. Why Join Us Opportunity to work with top-tier clients across multiple industries. Exposure to global data privacy regulations and enterprise transformation projects. Remote flexibility with international travel exposure. Continuous learning and development through training and certifications.

Job title: R&D Data Steward manager Location: Hyderabad, India About The Job Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to making a difference on patients’ daily life, wherever they live and enabling them to enjoy a healthier life. As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability & interoperability and thus accelerate impact on global health. The R&D Data Office serves as a cornerstone to this effort. Our team is responsible for cross-R&D data strategy, governance, and management. We sit in partnership with Business and Digital, and drive data needs across priority and transformative initiatives across R&D. Team members serve as advisors, leaders, and educators to colleagues and data professionals across the R&D value chain. As an integral team member, you will be responsible for defining how R&D's structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different end users such as scientists, clinicians, and more. You will also be pivotal in the development of sustainable mechanisms for ensuring data are FAIR (findable, accessible, interoperable, and reusable). Position Summary The R&D Data Steward plays a critical role in the intersection between business and data, where stewards will guide business teams on how to unlock value from data. This role will drive definition and documentation of R&D data standards in line with enterprise. Data stewards will place heavily cross-functional roles and must be comfortable with R&D data domains, data policies, and data cataloguing. Main Responsibilities Work in collaboration with R&D Data Office leadership (including the Data Capability and Strategy Leads), business, R&D Digital subject matter experts and other partners to: Understand the data-related needs for various cross-R&D capabilities (E.g., data catalog, master data management etc) and associated initiatives Influence, design, and document data governance policies, standards and procedures for R&D data Drive data standard adoption across capabilities and initiatives; manage and maintain quality and integrity of data via data enrichment activities (E.g., cleansing, validating, enhancing etc) Understand and adopt data management tools such as data catalogue, Master Data Management, Data Quality etc. using tools from Informatica (CDGC, CDQ, Marketplace and others in their suite of cloud data management products) Develop effective data sharing artifacts for appropriate usage of data across R&D data domains Ensure the seamless running of the data-related activities and verify data standard application from ingest through access Maintain documentation and act as an expert on data definitions, data flows, legacy data structures, access rights models, etc. for assigned domain Oversee data pipeline and availability and escalate issues where they surface; ensure on-schedule/on-time delivery and proactive management of risks/issues Educate and guide R&D teams on standards and information management principles, methodologies, best practices, etc. Oversee junior data stewards and/or business analysts based on complexity or size of initiatives/functions supported Facilitate communication between business and technical teams to ensure mutual understanding and alignment on data management practices Understanding the comprehensive processes and governance frameworks to ensure data protection and compliance. Deliverables Defines Data quality and communication metrics for assigned domains and 1-2 business functions Implements continuous improvement opportunities such as functional training Accountable for data quality and data management activities for the assigned domains. Facilitates data issue resolution Defines business terms and data elements (metadata) according to data standards, and ensures standardization/normalization of business and technical metadata Defines, maintains the data governance documentation, monitoring data governance performance metrics to identify areas of improvement Leads working groups to identify data elements, perform root cause and impact analysis, and identify improvements for metadata and data quality Regularly communicates with other data leads, expert Data Steward and escalates issues as appropriate About You Experience in Business Data Management, Information Architecture, Technology, or related fields, demonstrated ability to understand end-to-end data use and needs Knowledge of R&D data domains (e.g., across research, clinical, regulatory etc), Solid grasp of data governance practices and track record of implementation Ability to understand data processes and requirements, particularly in R&D at an enterprise level,Demonstrated strong attention to detail, quality, time management and customer focus Excellent written and oral communications skills, Strong networking, influencing and negotiating skills and superior problem-solving skills Demonstrated willingness to make decisions and to take responsibility ,Excellent interpersonal skills (team player) People management skills either in matrix or direct line function, Familiar with data management practices and technologies (e.g., Collibra, Informatica etc); experience in practices not required Knowledge of pharma R&D industry regulations and compliance requirements related to data governance, bachelor’s in computer science, Business, Engineering, Information Technology null Pursue Progress . Discover Extraordinary . Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.

About The Job Sanofi is a global life sciences company committed to improving access to healthcare and supporting the people we serve throughout the continuum of care. From prevention to treatment, Sanofi transforms scientific innovation into healthcare solutions, in human vaccines, rare diseases, multiple sclerosis, oncology, immunology, infectious diseases, diabetes and cardiovascular solutions and consumer healthcare. More than 110,000 people in over 100 countries at Sanofi are dedicated to making a difference on patients’ daily life, wherever they live and enabling them to enjoy a healthier life. As a company with a global vision of drug development and a highly regarded corporate culture, Sanofi is recognized as one of the best pharmaceutical companies in the world and is pioneering the application of Artificial Intelligence (AI) with strong commitment to develop advanced data standards to increase reusability & interoperability and thus accelerate impact on global health. The R&D Data Office serves as a cornerstone to this effort. Our team is responsible for cross-R&D data strategy, governance, and management. We sit in partnership with Business and Digital, and drive data needs across priority and transformative initiatives across R&D. Team members serve as advisors, leaders, and educators to colleagues and data professionals across the R&D value chain. As an integral team member, you will be responsible for defining how R&D's structured, semi-structured and unstructured data will be stored, consumed, integrated / shared and reported by different end users such as scientists, clinicians, and more. You will also be pivotal in the development of sustainable mechanisms for ensuring data are FAIR (findable, accessible, interoperable, and reusable). Position Summary The R&D Data Modeler develops conceptual and logical data models for initiatives, programs, and cross-R&D capabilities. This role is critical for creation of data models and ontologies, and upkeep of models even beyond the conclusion of a project. Data modelers will apply and assist in the definition and governance of data modelling and design standards, tools, best practices, and related development of any R&D data capability. Main Responsibilities Engage in data management and analytics projects; understand, advise, and execute on data flow optimization (e.g., data capture, integration and use across R&D) Understand the data-related needs for various cross-R&D capabilities (E.g., data catalog, master data management etc) and associated initiatives Design conceptual and logical data models and data dictionaries/ontologies to cater to R&D business needs and functional requirements; lead validation of physical data models Interact with business, R&D Digital, and other data collaborators to translate needs into data solutions Understand market trends for data modelling tools and metadata management capabilities; provides input into selection of tools and any necessary migration into company’s environment Understand data governance policies, standards and procedures for R&D data Serve as point of contact for data integration topics within solutions (e.g., technology), from source systems to data consumers; define process, tools, and testing requirements Maintain modelling and naming standards, and data harmonization, metadata management, and source-to-target data mapping documentation Evaluate and influence projects while serving as “voice-of-business”; map systems/interfaces for data management, set standards for future state, and close gap from current-to-future state Serve as technical and data consultant for R&D initiatives with major platforms/technology implementations Maintain documentation and act as an expert on data definitions, data standards, data flows, legacy data structures / hierarchies, common data models, data harmonization etc. for R&D functions Educate and guide R&D teams on standards and information management principles, methodologies, best practices, etc. Deliverables Conduct requirements gathering from business analysts, data scientists, and other stakeholders Formulate strategies, and query optimizations to enhance data retrieval speed Develop complex and scalable data models aligned to organization’s long term strategic goals Formulate data governance frameworks, policies, and standards Establish best practices for data modeling ensuring interoperability among systems, applications & data sources About you Experience: 5+ years of experience in business data management, information architecture, technology or other related field Functional skills: Demonstrated ability to understand end-to-end data use and business needs Knowledge of R&D data and data domains (e.g., across research, clinical, regulatory etc) Experience with creating and applying data modelling best practices and naming conventions Strong analytical problem-solving skills Demonstrated strong attention to detail, quality, time management and customer focus Excellent written and oral communications skills Strong networking, influencing and negotiating skills and superior problem-solving skills Demonstrated willingness to make decisions and to take responsibility for such Excellent interpersonal skills (team player) Technical Skills Experience with data management practices and technologies (e.g., Collibra, Informatica etc) Familiar with databases (relational, dimensional, NoSQL, etc) and concepts of data integrity Strong knowledge of data architecture (e.g., data lake, data virtualization, hubs etc) and modelling (e.g., 3nf etc) is required Experience in big data infrastructures (E.g., Hadoop, NOSQL etc) Experience with SDLC and pharma R&D platforms; experience with requirements gathering, system design, and validation/quality/compliance requirements Experience managing technology and/or data warehouse projects Familiarity with relationship databases and entity-relationship data modelling Experience with hierarchical data models from conceptualization to database optimization Education: Bachelor’s in Computer Science, Engineering, Mathematics, Statistics, or related; Masters preferred Languages: English Pursue Progress . Discover Extraordinary . Progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let’s pursue progress. And let’s discover extraordinary together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! null Pursue Progress . Discover Extraordinary . Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do what’s never-been-done-before. You’ll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve people’s lives? Let’s Pursue Progress and Discover Extraordinary – together. At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.

Job Requirements Job Requirements Role/ Job Title: Senior Data Analyst Function/ Department: Data & Analytics Job Purpose Senior data Analyst (DG) will work within the Data & Analytics Office to implement data governance framework with a focus on improvement of data quality, standards, metrics, processes. Align data management practices with regulatory requirements. Understanding of lineage – How the data is produced, managed, and consumed within the Banks business process and system. Roles & Responsibilities Demonstrate Strong understanding of data governance, data quality, data lineage and metadata management concepts. Participate in the data quality governance framework design and optimization, including process, standards, rules etc. Design and implement data quality rules and Monitoring mechanism. Analyze data quality issue and collaborate with business stakeholders to address the issue resolution, Build recovery model across Enterprise. knowledge of DG technologies for data quality and metadata management (Oval edge, Talend, Collibra etc.) Support in development of Centralized Metadata repositories (Business glossary, technical metadata etc.), Captures business/Data quality rules and design DQ reports & Dashboards. Improve data literacy among the stakeholders. Minimum 6 to 12 years of experience in Data governance with Banking Domain preferable Education Qualification Graduation: Bachelor of Science (B.Sc) / Bachelor of Technology (B.Tech) / Bachelor of Computer Applications (BCA) Post-graduation: Master of Science (M.Sc) /Master of Technology (M.Tech) / Master of Computer Applications (MCA) Experience: 5 to 10 years of relevant experience.

Data Governance Analyst Individual Contributor 2+ years experience About Concentric AI: With Concentric AI, organizations can finally address their unmet data security needs by discovering and protecting business-critical content. Concentric AI protects intellectual property, financial data, PII/PCI content, customer data, business confidential content and more, across on-premises and cloud-based data stores, as well as messaging and communication applications. The Concentric AI Data Security Posture Management (DSPM) and data security governance solution uses deep learning to accurately categorize structured and unstructured data, assess risk, and remediate security issues – without relying on upfront rules or complex configuration. Concentric AI is venture-backed by leading Silicon Valley VCs and is headquartered in San Mateo, Calif. For more information, see https://www.concentric.ai. Our culture: Our core values are Trust, Humility and Learning. These shared values guide our interactions with colleagues, partners and customers. Read more about our tenets https://concentric.ai/the-concentric-tenets-daily-behavior-to-aspire-to/ The role: You will be joining the Metrics, Insights and Data (MIND) team. The team’s mandate is to drive all data-related efforts at the company – from data collection, curation, enrichment to data analysis, exploration and extraction of insights – to fuel continued innovation in service of our clients. You will: Analyze customer data on the Concentric AI platform to extract relevant insights and identify data risks. Develop, curate and maintain training datasets for AI models Explore, annotate and label large datasets for supervised learning of ML models Work closely with AI and software development teams to drive automation Serve as data subject matter expert and partner with Customer Success to drive adoption of Concentric AI platform You have: Strong experience and expertise with data analytics. Proven ability to extract relevant insights from large volumes of data to solve specific problems. Keen eye for detecting trends, anomalies and patterns in data. Experience developing training datasets, data annotation and labeling for supervised learning of AI/ML models. Experience with spreadsheets and other data analysis tools. Knowledge of Python, scripting, visualization or analytics tools will be a strong plus. Experience with data governance in a large enterprise setting, and data catalog tools such as Collibra a strong plus. Broad knowledge of data security, regulations and standards will be an advantage. Insatiable curiosity and desire to learn, excellent attention to detail and creative problem-solving skills to get things done. Excellent verbal and written communication skills required. Bachelors or masters degree in analytics, business or STEM fields.

About us At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for. The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together . ExxonMobil’s affiliates in India ExxonMobil’s affiliates have offices in India in Bengaluru, Mumbai and the National Capital Region. ExxonMobil’s affiliates in India supporting the Product Solutions business engage in the marketing, sales and distribution of performance as well as specialty products across chemicals and lubricants businesses. The India planning teams are also embedded with global business units for business planning and analytics. ExxonMobil’s LNG affiliate in India supporting the upstream business provides consultant services for other ExxonMobil upstream affiliates and conducts LNG market-development activities. The Global Business Center - Technology Center provides a range of technical and business support services for ExxonMobil’s operations around the globe. ExxonMobil strives to make a positive contribution to the communities where we operate and its affiliates support a range of education, health and community-building programs in India. Read more about our Corporate Responsibility Framework. To know more about ExxonMobil in India, visit ExxonMobil India and the Energy Factor India. What role you will play in our team UDO DPF Data Engineer will lean in and own the work, connect with others, be resourceful, engage in data communities, apply technical growth, bring enthusiasm and commitment. They will be essential part of a data squad, a small composition of data gurus specifically assigned to a capability, developing domain knowledge and understanding of the data within business workflows so that each and every data product is done right and delights the customer. City: Bengaluru, Karnataka What you will do Perform ETL, ELT operations and administration using modern tools, programming languages and systems securely and in accordance with enterprise data standards Assemble, model, transform large complex sets of data that meet non-functional and functional business requirements into a format that can be analyzed Automate data processing of data from multiple data sources Develop, deploy and version control code for data consumption, reuse for APIs Employ machine learning techniques to create and sustain data structures Perform root cause analysis on external and internal processes and data to identify opportunities for improvement, resolve data quality issues Lead data-related workshops with stakeholders to capture data requirements and acceptance criteria Mentorship & Coaching Jr data engineers by providing guidance on best practices in coding, data modeling, and pipeline design. Etc. About You Skills and Qualifications Minimum bachelor’s degree in: Data Science, Business Intelligence, Statistics, Computer Engineering or related field, or the equivalent combination of education, professional training, and work experience Petroleum, Chemical, Mechanical, Civil/construction Engineering is acceptable given appropriate work experience 5 or more years performing duties related to data engineering Expert proficiency in at least one of these programming languages: Python(Must), NoSQL, SQL, R, and competent in source code management Build processes supporting data transformation, data structures, metadata, dependency, and workload management Create data validation methods and data analysis tools Preferred Qualifications/ Experience Excellent problem-solving skills and ability to learn through scattered resources Automate routine tasks via scripts, code Capacity to successfully manage a pipeline of duties with minimal supervision Experience supporting and working with cross-functional teams in a dynamic environment Modify existing reports, extracts, dashboards, and cubes as necessary Commitment to operations integrity and ability to hold self and others accountable for results Data Governance skills: Data Quality Management, Metadata Management, Data Lineage & Provenance, Master Data Management (MDM), Data Cataloging Tools Experience with tools like Collibra, Alation, Azure Purview, Informatica, or Google. Data Catalog, Data Classification & Tagging Your benefits An ExxonMobil career is one designed to last. Our commitment to you runs deep: our employees grow personally and professionally, with benefits built on our core categories of health, security, finance and life. We offer you: Competitive compensation Medical plans, maternity leave and benefits, life, accidental death and dismemberment benefits Retirement benefits Global networking & cross-functional opportunities Annual vacations & holidays Day care assistance program Training and development program Tuition assistance program Workplace flexibility policy Relocation program Transportation facility Please note benefits may change from time to time without notice, subject to applicable laws. The benefits programs are based on the Company’s eligibility guidelines. Stay connected with us Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India . Follow us on LinkedIn and Instagram Like us on Facebook Subscribe our channel at YouTube EEO Statement ExxonMobil is an Equal Opportunity Employer: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status. Business solicitation and recruiting scams ExxonMobil does not use recruiting or placement agencies that charge candidates an advance fee of any kind (e.g., placement fees, immigration processing fees, etc.). Follow the LINK to understand more about recruitment scams in the name of ExxonMobil. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships. Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship. Exxon Mobil Corporation has numerous affiliates, many with names that include ExxonMobil, Exxon, Esso and Mobil. For convenience and simplicity, those terms and terms like corporation, company, our, we and its are sometimes used as abbreviated references to specific affiliates or affiliate groups. Abbreviated references describing global or regional operational organizations and global or regional business lines are also sometimes used for convenience and simplicity. Similarly, ExxonMobil has business relationships with thousands of customers, suppliers, governments, and others. For convenience and simplicity, words like venture, joint venture, partnership, co-venturer, and partner are used to indicate business relationships involving common activities and interests, and those words may not indicate precise legal relationships.

We're Hiring: Data Governance Lead Contact: +91 90329 56160 What You Will Do Role Overview Key Responsibilities - 1. Governance Strategy & Stakeholder Enablement Define and drive enterprise-level data governance frameworks and policies. Align governance objectives with compliance, analytics, and business priorities. Work with IT, Legal, Compliance, and Business teams to drive adoption. Conduct training, workshops, and change management programs. 2. Microsoft Purview Implementation & Administration Administer Microsoft Purview: accounts, collections, RBAC, and scanning policies. Design scalable governance architecture for large-scale data environments (50TB). Integrate with Azure Data Lake, Synapse, SQL DB, Power BI, and Snowflake. 3. Metadata & Data Lineage Management Design metadata repositories and workflows.Ingest technical/business metadata via ADF, REST APIs, PowerShell, Logic Apps.Validate end-to-end lineage (ADF Synapse Power BI), impact analysis, and remediation. 4. Data Classification & SecurityImplement and govern sensitivity labels (PII, PCI, PHI) and classification policies.Integrate with Microsoft Information Protection (MIP), DLP, Insider Risk, and Compliance Manager. Enforce lifecycle policies, records management, and information barriers. Working knowledge of GDPR, HIPAA, SOX, CCPA. Strong communication and leadership to bridge technical and business governance.

Key Responsibilities 1. Governance Strategy & Stakeholder Enablement Define and drive enterprise-level data governance frameworks and policies.Align governance objectives with compliance, analytics, and business priorities.Work with IT, Legal, Compliance, and Business teams to drive adoption.Conduct training, workshops, and change management programs. 2. Microsoft Purview Implementation & Administration Administer Microsoft Purview: accounts, collections, RBAC, and scanning policies.Design scalable governance architecture for large-scale data environments (>50TB).Integrate with Azure Data Lake, Synapse, SQL DB, Power BI, and Snowflake. 3. Metadata & Data Lineage Management Design metadata repositories and workflows.Ingest technical/business metadata via ADF, REST APIs, PowerShell, Logic Apps.Validate end-to-end lineage (ADF Synapse Power BI), impact analysis, and remediation. 4. Data Classification & SecurityImplement and govern sensitivity labels (PII, PCI, PHI) and classification policies.Integrate with Microsoft Information Protection (MIP), DLP, Insider Risk, and Compliance Manager.Enforce lifecycle policies, records management, and information barriers.Working knowledge of GDPR, HIPAA, SOX, CCPA.Strong communication and leadership to bridge technical and business governance Location-Mumbai,Hyderabad,Indore,Ahmedabad

At PwC, our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations, reduce costs, and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management, technology, and process optimization to deliver high-quality services to clients. Those in managed service management and strategy at PwC will focus on transitioning and running services, along with managing delivery teams, programmes, commercials, performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process, tools and services. Driven by curiosity, you are a reliable, contributing member of a team. In our fast-paced environment, you are expected to adapt to working with a variety of clients and team members, each presenting varying challenges and scope. Every experience is an opportunity to learn and grow. You are expected to take ownership and consistently deliver quality work that drives value for our clients and success as a team. As you navigate through the Firm, you build a brand for yourself, opening doors to more opportunities. Skills Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Apply a learning mindset and take ownership for your own development. Appreciate diverse perspectives, needs, and feelings of others. Adopt habits to sustain high performance and develop your potential. Actively listen, ask questions to check understanding, and clearly express ideas. Seek, reflect, act on, and give feedback. Gather information from a range of sources to analyse facts and discern patterns. Commit to understanding how the business works and building commercial awareness. Learn and apply professional and technical standards (e.g. refer to specific PwC tax and audit guidance), uphold the Firm's code of conduct and independence requirements. Role: Associate Tower: Data, Analytics & Specialist Managed Service Experience: 2.0 - 5.5 years Key Skills: AWS Educational Qualification: BE / B Tech / ME / M Tech / MBA Work Location: India.;l Job Description As a Associate, you will work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to: Use feedback and reflection to develop self-awareness, personal strengths, and address development areas. Flexible to work in stretch opportunities/assignments. Demonstrate critical thinking and the ability to bring order to unstructured problems. Ticket Quality and deliverables review, Status Reporting for the project. Adherence to SLAs, experience in incident management, change management and problem management. Seek and embrace opportunities which give exposure to different situations, environments, and perspectives. Use straightforward communication, in a structured way, when influencing and connecting with others. Able to read situations and modify behavior to build quality relationships. Uphold the firm's code of ethics and business conduct. Demonstrate leadership capabilities by working, with clients directly and leading the engagement. Work in a team environment that includes client interactions, workstream management, and cross-team collaboration. Good team player, take up cross competency work and contribute to COE activities. Escalation/Risk management. Position Requirements Required Skills: AWS Cloud Engineer Job description: Candidate is expected to demonstrate extensive knowledge and/or a proven record of success in the following areas: Should have minimum 2 years hand on experience building advanced Data warehousing solutions on leading cloud platforms. Should have minimum 1-3 years of Operate/Managed Services/Production Support Experience Should have extensive experience in developing scalable, repeatable, and secure data structures and pipelines to ingest, store, collect, standardize, and integrate data that for downstream consumption like Business Intelligence systems, Analytics modelling, Data scientists etc. Designing and implementing data pipelines to extract, transform, and load (ETL) data from various sources into data storage systems, such as data warehouses or data lakes. Should have experience in building efficient, ETL/ELT processes using industry leading tools like AWS, AWS GLUE, AWS Lambda, AWS DMS, PySpark, SQL, Python, DBT, Prefect, Snoflake, etc. Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in AWS. Work together with data scientists and analysts to understand the needs for data and create effective data workflows. Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data. Improve the scalability, efficiency, and cost-effectiveness of data pipelines. Monitoring and troubleshooting data pipelines and resolving issues related to data processing, transformation, or storage. Implementing and maintaining data security and privacy measures, including access controls and encryption, to protect sensitive data Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases Should have experience in Building and maintaining Data Governance solutions (Data Quality, Metadata management, Lineage, Master Data Management and Data security) using industry leading tools Scaling and optimizing schema and performance tuning SQL and ETL pipelines in data lake and data warehouse environments. Should have Hands-on experience with Data analytics tools like Informatica, Collibra, Hadoop, Spark, Snowflake etc. Should have Experience of ITIL processes like Incident management, Problem Management, Knowledge management, Release management, Data DevOps etc. Should have Strong communication, problem solving, quantitative and analytical abilities. Nice To Have AWS certification Managed Services- Data, Analytics & Insights Managed Service At PwC we relentlessly focus on working with our clients to bring the power of technology and humans together and create simple, yet powerful solutions. We imagine a day when our clients can simply focus on their business knowing that they have a trusted partner for their IT needs. Every day we are motivated and passionate about making our clients’ better. Within our Managed Services platform, PwC delivers integrated services and solutions that are grounded in deep industry experience and powered by the talent that you would expect from the PwC brand. The PwC Managed Services platform delivers scalable solutions that add greater value to our client’s enterprise through technology and human-enabled experiences. Our team of highly skilled and trained global professionals, combined with the use of the latest advancements in technology and process, allows us to provide effective and efficient outcomes. With PwC’s Managed Services our clients are able to focus on accelerating their priorities, including optimizing operations and accelerating outcomes. PwC brings a consultative first approach to operations, leveraging our deep industry insights combined with world class talent and assets to enable transformational journeys that drive sustained client outcomes. Our clients need flexible access to world class business and technology capabilities that keep pace with today’s dynamic business environment. Within our global, Managed Services platform, we provide Data, Analytics & Insights where we focus more so on the evolution of our clients’ Data and Analytics ecosystem. Our focus is to empower our clients to navigate and capture the value of their Data & Analytics portfolio while cost-effectively operating and protecting their solutions. We do this so that our clients can focus on what matters most to your business: accelerating growth that is dynamic, efficient and cost-effective. As a member of our Data, Analytics & Insights Managed Service team, we are looking for candidates who thrive working in a high-paced work environment capable of working on a mix of critical Data, Analytics & Insights offerings and engagement including help desk support, enhancement, and optimization work, as well as strategic roadmap and advisory level work. It will also be key to lend experience and effort in helping win and support customer engagements from not only a technical perspective, but also a relationship perspective.

The Applications Development Senior Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities. Responsibilities: Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems Ensure essential procedures are followed and help define operating standards and processes Serve as advisor or coach to new or lower level analysts Has the ability to operate with a limited level of direct supervision. Can exercise independence of judgement and autonomy. Acts as SME to senior stakeholders and /or other team members. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Technical experience to include intermediate/advanced SQL skills; Python, Java, COBOL, Visual Studio 5-8 years of leadership experience with a focus on people management and team development. Proven background in business analytics including key skills in Data management and governance, data security and compliance, data analysis and modeling, communication and collaboration, technical writing and change management. Strong Interpersonal skills: including facilitation, negotiation and conflict resolution. Demonstrated expertise in presenting and using planning tools. Proven diplomatic and analytical skills. Proven ability to manage complex and variable issues with substantial potential impact by weighing various action plans and balancing potentially conflicting needs. Experience in systems analysis helpful. Desired Experience with Agile Software Development Lifecycle methodology and related tooling. For example -JIRA, Scrum, Kanban, Confluence. Experience with specific data governance tools: like Collibra or data catalogs. Knowledge of data warehousing and cloud technologies for managing and processing large data sets. This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

The Applications Development Senior Programmer Analyst is an intermediate level position responsible for participation in the establishment and implementation of new or revised application systems and programs in coordination with the Technology team. The overall objective of this role is to contribute to applications systems analysis and programming activities. Responsibilities: Conduct tasks related to feasibility studies, time and cost estimates, IT planning, risk technology, applications development, model development, and establish and implement new or revised applications systems and programs to meet specific business needs or user areas Monitor and control all phases of development process and analysis, design, construction, testing, and implementation as well as provide user and operational support on applications to business users Utilize in-depth specialty knowledge of applications development to analyze complex problems/issues, provide evaluation of business process, system process, and industry standards, and make evaluative judgement Recommend and develop security measures in post implementation analysis of business usage to ensure successful system design and functionality Consult with users/clients and other technology groups on issues, recommend advanced programming solutions, and install and assist customer exposure systems Ensure essential procedures are followed and help define operating standards and processes Serve as advisor or coach to new or lower level analysts Has the ability to operate with a limited level of direct supervision. Can exercise independence of judgement and autonomy. Acts as SME to senior stakeholders and /or other team members. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications Business Analytics Key Skills: Data Management and Governance: Understanding data governance frameworks, data quality management, and metadata management. Data Security and Compliance: Knowledge of data protection rules (like GDPR and HIPAA) and ability to implement security measures. Database and SQL Proficiency: Ability to query, update, and manage data in relational databases. Data Analysis and Modeling: Understanding data modeling, data profiling, and data warehousing concepts. Communication and Collaboration: Effectively communicating data policies, issues, and solutions to various stakeholders. Problem-Solving and Critical Thinking: Identifying and resolving data quality, security, and compliance issues. Business Acumen: Understanding the business context of the data they manage and how it supports business goals. Technical Writing: Documenting data-related processes, policies, and procedures. Change Management: Adapting to evolving data landscapes and implementing changes effectively. In addition to these core skills: Experience with specific data governance tools: Like Collibra or data catalogs. Familiarity with programming languages: Especially SQL and Python. Knowledge of data warehousing and cloud technologies: For managing and processing large datasets. Strong interpersonal skills: Including facilitation, negotiation, and conflict resolution. Education: Bachelor’s degree/University degree or equivalent experience This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Technology ------------------------------------------------------ Job Family: Applications Development ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster.

Based in Hyderabad, you will have the opportunity to join a global healthcare biopharma company with a 130-year legacy of success. This company is committed to ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare. You will be part of an organization that is at the forefront of digital technology and data-backed approaches, supporting a diversified portfolio of prescription medicines, vaccines, and animal health products. As a leader within this organization, you will have a passion for utilizing data, analytics, and insights to drive decision-making and address some of the world's most significant health threats. The Technology Centers play a crucial role in creating a collaborative space where teams work together to deliver business solutions that align with the company's purpose of saving and improving lives. These Tech Centers, distributed globally, are integral to the company's IT operating model and digital transformation journey. As a Lead Technical Data and Analytics Architect, you will play a pivotal role in shaping the company's enterprise data and analytics portfolio. This position requires a blend of strategic technology leadership and hands-on technical expertise. You will lead a small team of architects, fostering collaboration and ensuring high-quality delivery across multiple product lines. Your responsibilities will include developing and maintaining a cohesive architecture vision, providing leadership to the team of architects, fostering a collaborative environment for innovation and best practices, collaborating with product teams on product design and integration, driving the adoption of cutting-edge technologies, establishing and governing architectural frameworks, creating capability and technology maps, and providing hands-on technical leadership. To excel in this role, you should have proven leadership experience, deep technical expertise in data engineering, data management, data governance, cloud technologies, and Generative AI technologies. Strong communication, presentation, and stakeholder management skills are essential, along with a passion for innovation and the ability to balance strategic leadership with hands-on technical contributions. At this company, employees are encouraged to propose innovative solutions that enable new organizational capabilities. Collaboration is key, as technology teams work as business partners to deliver services and solutions that enhance productivity and drive innovation. If you are seeking a role where you can contribute to saving and improving lives globally, leverage your technical expertise, and be part of a team dedicated to innovative health solutions, this opportunity may be the perfect fit for you. Join us in our mission to make a positive impact in the world.,