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IN_Manager_Data Management/Data Governance -Data And Analytics

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Onsite

IN_Manager_Data Management/Data Governance -Data And Analytics

PwC Service Delivery Center

IN_Manager_Data Management/Data Governance -Data And Analytics

Skills

Data EngineeringData AnalysisAIGDPRTalendComplianceRegulatory Compliance

20 days ago

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Important information


Contract type:

Permanent

Location:

Kolkata, West Bengal, India

Work mode:

Onsite

Published on:

30 September 2026

What they need


Job Details

  • 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.

Job Description Details

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

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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