IN-Manager_DG Functional Consultant_Data & Analytics_Advisory_PAN India

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. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes.

Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. *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. " Responsibilities: Design and implement enterprise Data Governance frameworks, operating models, policies, standards, and processes aligned to industry best practices (DCAM, DAMA, etc.).

Define Data Governance operating models including Data Governance Council structures, RACI matrices, and roles and responsibilities for Data Owners, Data Stewards, and Data Custodians. Conduct Data Governance maturity assessments and define implementation roadmaps for clients.

Project Delivery: Support business functions in the identification and documentation of Critical Data Elements (CDEs), Business Data Quality rules, Business Glossary, hierarchies for master/reference data, and Data Dictionary. Partner with Data Owners and Data Stewards to define Data Quality rules for CDEs across applications such as Workday, Databricks, and other enterprise systems; oversee the development and execution of these rules within respective applications.

Design and document business requirements (BRDs) for workflows covering Data Quality, Business Glossary, Reference Data, Issue Management, and Report Catalog within Collibra; oversee end-to-end workflow development as per requirements. Stakeholder & Practice Leadership Lead discussions and workshops with CXOs, CDOs, and senior business leaders on Data Governance vision, strategy, and initiatives.

Manage and mentor direct reports and project teams; provide coaching, performance feedback, and career development support. Lead/support the PwC Data Governance CoE in thought leadership, point-of-view development, accelerators and asset creation, and team capability building.

Contribute to business development through RFP/RFI responses, proposals, client demos, and solution pitches. Required Qualifications 7–10 years of overall experience with at least 5 years in the Data Governance domain; consulting experience strongly preferred.

Mandatory hands-on working experience with Collibra. High-level of ownership in driving projects end to end. Experience in the design and implementation of Data Governance frameworks, policies, and processes for large enterprises. Strong experience in preparing BRDs and driving development across Data Governance areas: Metadata Management, Business Glossary, Data Lineage, Data Quality, and Master Data Management .

Proven ability to drive C-suite (CXO/CDO) discussions on Data Governance strategy, business case, and ROI. Experience leading and mentoring delivery teams in a consulting or large enterprise environment. Excellent written and verbal communication, stakeholder management, and presentation skills.

Open to travel (domestic and international) based on client/project requirements. Mandatory skill sets: Metadata Management, Business Glossary, Data Lineage, Data Quality, and Master Data Management. Preferred skill sets: Metadata Management, Business Glossary, Data Lineage, Data Quality, and Master Data Management.

Years of experience required: 7-12 Years Education qualification: BE, B. Tech , MCA, M. Tech , MBA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility {+ 30 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship?

Government Clearance Required? Job Posting End Date February 20, 2026