Manager - Data Scientist (Generative AI & Data Analytics)

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