Headline

AVP HSBC | XLRI J| AI Product Management | AI Product Owner | Regulatory Reporting Banking | Data and Agentic AI PM| AI native Builder

About

I work at the intersection of AI product management and AI governance in regulated banking, where the hard problem isn't building a model, it's shipping AI that risk, compliance, and regulators will actually trust. My focus: turning governance and model-risk requirements into product - controls, data-quality guardrails, and observability that let AI move from pilot to production without breaking regulatory obligations. I translate dense regulatory expectations into concrete product requirements, acceptance criteria, and controls that engineering and risk teams can both sign off on. That bilingual fluency,regulation on one side, AI systems on the other, is where I'm strongest. Day to day in a banking GCC, I own product-adjacent work end to end: defining the problem, shaping the roadmap with stakeholders across risk, data, and engineering, writing the requirements, and driving delivery to measurable outcomes in data accuracy, reconciliation, and reporting reliability. I've worked on regulatory and credit-risk reporting and large-scale data migrations, consistently framing the work as what outcome are we accountable for, not what ticket is open. I write regularly on AI agent governance in banking for a network of senior practitioners, because the field is being defined right now and I want to be in that conversation. What's next: an AI Product Manager or AI Governance / Model Risk role where regulated-industry rigor is a feature, not a constraint - ideally at a banking or regulated GCC building AI people can actually trust.

Location

Bengaluru

AI stack

aistudio

antigravity

claude code

claude

codex

cursor

Work experience

Assistant Vice President at HSBC, Apr 2026 - Present · 8 mos, Bengaluru, - Own product-adjacent delivery for a regulated data-controls initiative: define the problem, shape the roadmap with risk, data, and engineering stakeholders, and translate ambiguous requirements into prioritized, testable controls. - Steered a £7M reporting modernization program and managing a £3M annual change portfolio by partnering with risk and engineering stakeholders to translate ambiguous requirements into prioritized, testable controls. - Improved LLM response accuracy for domain-specific queries by developing a retrieval-augmented (RAG) system that integrated structured contextual data sources with generative outputs. -Improved reporting reliability by leading a cross-functional data migration across multiple engineering teams, shifting the focus to measurable data quality outcomes. -Reduced downstream reconciliation gaps by establishing data quality guardrails and validation logic that surfaced integrity issues upstream. - Translate regulatory and model-risk expectations into product requirements and acceptance criteria, ensuring AI and data workflows are auditable and compliance-safe by design. - Led a cross-functional data migration and control uplift across 5+ engineering teams, improving reporting reliability by shifting focus from task throughput to measurable data quality outcomes. - Establish data-quality guardrails and validation logic that surface integrity issues upstream, reducing downstream reconciliation gaps in regulated reporting. - Partner across business and engineering to convert governance obligations into a prioritized backlog, balancing regulatory non-negotiables against delivery speed.

Data Product Manager at Accenture, Jul 2022 - Mar 2026 · 3 yrs 9 mos, India, • Led credit-risk and regulatory reporting product delivery, translating IFRS9/ECL requirements into scalable data features and improving reporting accuracy ~25% through validation frameworks I helped define. - Automated complex banking queries and enabled faster self-service insights by designing AI-driven data access workflows (LLM and SQL systems), defining the end-to-end workflow from intent detection to response formatting. - Ensured highly reliable and secure AI outputs by benchmarking AI-generated responses against direct SQL queries and establishing strict query guardrails to prevent unauthorized data access. - Boosted decision accuracy and regulatory compliance by leading the development of a credit risk platform, translating complex IFRS9 requirements into scalable product features. - Improved data accuracy by 25% by identifying historical reconciliation gaps and implementing robust validation frameworks across datasets. - Maintained consistent on-time feature delivery by managing backlog prioritization and sprint planning across engineering, data, and business teams. • Demonstrated expertise in managing overseas banking clients, handling 2 pilot projects in the Banking and Financial Services domain. • Developed a comprehensive Business Data Modeling document for an Enterprise Data Warehouse, streamlining processes by 30%. • Developed logical and physical models for a large overseas banking client, resulting in a 20% reduction in processing time. • Instrumental in modeling data inflow, facilitating the migration of 7.8 Billion worth of Loans and 1.88 Billion worth of deposit accounts, leading to a 150K customer base expansion for the banking client. • Proficiently applied Kanban and Scrum frameworks, collaborating with 10+ global cross-functional teams. • Translated complex business requirements into programmer-friendly system requirements with a precision of 95% accuracy. • Designed AI-driven workflows for faster self-service insights.

Product Manager at Tata Consultancy Services, Jun 2019 - Mar 2021 · 1 yr 10 mos, Mumbai Metropolitan Region, • Handling Loans Module comprised of 20 dedicated members. Secured several Star Team Awards for CCDP audits, Quarter end branch level merger issue resolutions, and deliberating and resolving complex CBS operations across multiple branches. • Analyzed and interpreted customer feedback from financial services clients, leading to a 15% increase in customer retention and loyalty to IT services provided. • Assisted in optimizing financial processes for the client, resulting in a 25% reduction in operational costs in their IT systems. • Collaborated with a cross-functional team of 15 members to successfully deliver a financial software project, meeting all milestones on time. • Conducted 20+ client meetings with financial services firms to gather IT requirements and align business objectives, resulting in 90% client satisfaction. • Conducted in-depth market research and analyzed 100+ competitor products for a financial services client in IT, providing insights for new product development. • Prepared and presented 30+ comprehensive business reports to stakeholders in the financial services sector, facilitating data-driven decision-making for IT solutions. • Ability to synthesize complex information and generate meaningful insights based on analysis of client's data and information from primary and secondary research.

System engineer at Tata Consultancy Services, Mar 2017 - Jun 2019 · 2 yrs 4 mos, I have been working on pilot implementation project for the largest bank of India ie State Bank of India. I am responsible for bringing up prime solutions to the business related problems and design various reports that is made using data analytics using R programming,python and tools like informatica,tableau

Assistant System Engineer at Tata Consultancy Services, Mar 2016 - Mar 2017 · 1 yr 1 mo, Mumbai Area, India, I worked for one of the biggest bank of India (SBI) in their Merger and acquisition process of 5 associate banks in a pilot implementation project. The work involved thorough technical knowledge of Unix, Oracle 11g, Sql/Plsql and using these languages along with functional know-hows that go behind the bank operations. Responsible for the requirement gathering that came up during the merger of all the 5 banks and arranging solutions to operations related halts in core banking software with 98 percentage SLA compliance. Coordinating with other teams to understand the various processes involved and sit in the CAB meetings for understanding the requirements of the clients and producing innovative and relevant solutions along with arranging for knowledge sharing sessions with the client merger heads.

Education

Master of Business Administration - MBA, XLRI Jamshedpur

Postgraduate Degree, AI & ML, Texas McCombs School of Business