Data Quality Governance Manager -Agentic AI - Assistant Vice President

Lead the management and improvement of enterprise data quality programs covering governance, profiling, rule authoring, monitoring, and remediation across retail banking data.

Design, develop, and deploy scalable AI-powered solutions including LLM-based applications and multi-agent orchestrations to enhance data quality lifecycle and enterprise workflows.

Collaborate cross-functionally to ensure policy compliance, audit support, data certification, and issue resolution within defined SLAs.

10+ years of hands-on experience in people management, delivering data quality, MIS, data management, with at least 7+ years in the Banking industry.

Educational Qualification: MBA/Master's in Economics/Statistics/Mathematics/Information Technology/Computer Applications/Engineering from a premier institute; BTech/BE in IT/Information Systems/Computer Applications preferred.

Technical skills required: Proficiency in Python, SAS, SQL, Teradata, Collibra; experience in prompt engineering; knowledge with LLM-based AI applications and Agentic AI frameworks.

Work Experience Required: 10+ years with minimum 7 years in banking; Notice Period: Not explicitly mentioned in the JD.

Experienced leader able to manage complex, cross-functional enterprise data quality and governance programs with a focus on operational impact and SLA adherence.

Strong blend of software engineering and AI/ML expertise, particularly with generative AI, LLMs, and multi-agent orchestration frameworks like LangChain/LangGraph.

Deep banking domain knowledge across cards, deposits, loans, wealth management, and insurance with strong familiarity of audit and data quality frameworks.