IN_Manager_Data Management/ Data Governance –Data And Analytics_Bangalore and Kolkata

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IN_Manager_Data Management/ Data Governance –Data And Analytics_Bangalore and Kolkata

PwC – Bengaluru, Karnataka, India

Refined job description

ROLE
– 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.

REQUIREMENTS
– Proven experience leading end‑to‑end data governance workstreams.
– Ability to translate data management frameworks into operating models, policies, standards, stewardship processes, and implementation plans.
– Strong stakeholder management and workshop facilitation skills.
– Experience managing project delivery, risks, issues, work plans, and quality reviews.
– Certification in DAMA, CDMP, DCAM, or other recognized data management/governance frameworks – preferred.
– Experience with data governance/catalog projects using tools such as Collibra, Informatica, Alation, Microsoft Purview, IBM IGC/Watson Knowledge Catalog, Ataccama, or BigID – preferred.
– Prior experience conducting data governance maturity assessments using DCAM or similar frameworks – preferred.
– Exposure to data privacy, regulatory compliance, access governance, data classification, and data protection requirements – preferred.
– Required skills: Data Engineering, Data Management.
– Optional skills: Agile, AWS, Azure Data Factory, Apache Airflow, Apache Hadoop, Databricks, Data Architecture Development, Data Integration, Data Lake, Data Modeling, Data Anonymization, Database Administration, Database Optimization, Database Security Best Practices, Coaching and Feedback, Communication, Creativity, Analytical Thinking, Accepting Feedback, Active Listening, Scalability, etc.

BENEFITS
– Rewards for contributions.
– Support for employee wellbeing.
– Inclusive benefits package.
– Flexibility programmes.
– Mentorship opportunities.

Full job description

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 Engineering Data Management

Optional Skills

Accepting Feedback Accepting Feedback Active Listening Agile Scalability Amazon Web Services (AWS) Analytical Thinking Apache Airflow Apache Hadoop Azure Data Factory Coaching and Feedback Communication Creativity Data Anonymization Data Architecture Development 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 Data Lake Data Modeling {+ 32 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