IN_Manager_Data Management/Data Governance –Data And Analytics_Advisory_Bangalore/Kolkata

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. Job Description & Summary: PwC India is seeking a highly skilled Data Governance Consultant with hands-on experience in designing, configuring, and implementing Data Governance and Data Catalog solutions. This is a techno-functional role focused on leveraging market-leading data governance and catalog platforms to support enterprise data governance, data quality, and data catalog processes. Responsibilities: Define enterprise data governance strategy, roadmap, and implementation approach. Design governance operating models including roles, responsibilities, RACI matrix, stewardship models, and policy enforcement mechanisms. Act as the primary point of contact for client stakeholders, data owners, stewards, IT teams, and business users. Conduct stakeholder workshops to gather requirements, define governance operating models, and align business priorities. Lead and mentor associates/senior associates across data governance implementations. Manage end-to-end delivery of data governance workstreams across planning, design, build, testing, deployment, and adoption. Own solution design for data catalog, metadata management, lineage, workflows, data quality, and stewardship processes. Support proposal development, solutioning, effort estimation, and client presentations. Contribute to go-to-market assets, accelerators, POVs, and reusable data governance frameworks. Mandatory skill sets: Proven experience leading end-to-end data governance/data catalog implementation workstreams across strategy, design, configuration, testing, deployment, and adoption. Strong understanding of industry data management and governance frameworks such as DAMA-DMBOK, DCAM, CDMP, or equivalent frameworks. Ability to translate data management frameworks into practical operating models, policies, standards, stewardship processes, and implementation plans. Strong stakeholder management and workshop facilitation skills across business and technology teams. Experience managing project delivery, risks, issues, work plans, and quality reviews. Hands-on experience in one or more DG/DQ tools such as Collibra, Informatica, Alation, Microsoft Purview, or related tools. Preferred skill sets: Professional certification in leading DG/DQ tools such as Informatica, Collibra, Alation, Microsoft Purview, Talend, etc. Certification in DAMA CDMP, DCAM, or other recognized data management/data governance frameworks. Experience with data governance/catalog projects using Collibra, Informatica, Alation, Microsoft Purview, IBM IGC/Watson Knowledge Catalog, Ataccama, or BigID. Prior experience conducting data governance maturity assessments using DCAM or similar frameworks. Exposure to data privacy, regulatory compliance, access governance, data classification, and data protection requirements. Exposure to AI/GenAI-enabled data governance use cases such as automated metadata enrichment, data quality insights, policy recommendations, and intelligent catalog search. Years of experience required: 9–12 years Education qualification: BE, B.Tech, MCA, MBA, M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Technology, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Data Management Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, AI Fluency, AI-Human Collaboration, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration {+ 35 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date August 24, 2026