About

Enterprise data and APIs that machines can act on, in businesses that have to answer for the result.

London-based product leader. Two decades building data platforms and APIs inside large financial institutions. I now focus on a narrower problem: turning governed enterprise data into something machines can reliably act on, without the firm losing the ability to control, reconstruct and explain what happened afterwards.

The model is only one part of the system. The harder enterprise problem is the substrate around it: data, interfaces, permissions, controls and evidence.

What I work on

I work where data platforms, API products and agents meet: making enterprise data discoverable and usable by machine consumers, designing the interfaces through which they act, and preserving the permissions, provenance and evidence that let an institution answer for what happened.

The third is the part most teams reach last, and the part a regulated firm cannot skip.

Experience

• Bloomberg, Head of Data License API Platform · October 2023 – present. Set the strategy and priorities for the API platform powering Bloomberg's flagship enterprise data product, serving thousands of institutional clients and millions of requests each month. Own delivery and outcomes across multiple engineering teams, with multiple new APIs adding multi-million dollars of incremental revenue. Also building AI agents to improve data quality, and facilitating the MCP rollout that makes the platform's data agent-ready, in one of the highest-stakes data environments in finance.
• J.P. Morgan, Lead Product Manager, Data and Analytics · May 2022 – October 2023. Set strategy and priorities for the Commercial and Investment Bank Data Platform portfolio (transport, querying, quality), and owned delivery and outcomes across multiple engineering teams. Named inventor on U.S. patent application US20250117197A1 for robust data pipelines through model-driven engineering.
• Earlier product leadership at Fidelity International and Schroders · 2015 – 2022. Fund launches cut from eight weeks to ten days across multiple departments and countries, and a pension-transfer platform delivering 75% reduction in transfer time with 45% straight-through processing. At Schroders, product strategy for Global Fund Center, the worldwide fund-data distribution platform, where an award-winning 360° fund-view prototype and ML-based search and recommendations drove 3× engagement and 5× user growth.
• Earlier roles included product and programme leadership at BlackRock, PwC and Citi. Full chronology on LinkedIn.

Mathematics and education

Outside the professional work, I build mathematics products. Mathematics has been a constant throughout my life, and these projects let me apply the same disciplines in a different setting: structuring difficult material, designing for understanding, and making rigorous work usable by someone working alone.

• OlympiadHQ · a free platform that organises olympiad mathematics for students, teachers and maths circles: past-paper mocks, structured practice, and curated reading paths. Free to individual students by design.
• Lemma · preparation for the TMUA through interactive lessons, solutions that reveal the reasoning a step at a time, spaced review that resurfaces your mistakes, and full timed mocks.
• Mathematics books · annotated editions, written, edited and typeset end to end.

These are independent projects, separate from my professional role.

Selected work

• Tax Policy Navigator · a case study in making a generative answer trustworthy enough to act on: grounding, evaluation, and refusal in a regulated domain.
• The record nobody agreed to keep · when a machine acts on a client account, every layer defers the accountability record to the layer next door, and the chain closes on nobody.
• Agent-ready financial data · the architecture that gives an enterprise agent context it can be trusted to act on.
• A benchmark is not a control · why a high leaderboard score cannot establish that an agent's output is acceptable in a regulated workflow.

Education

• MBA, Indian Institute of Management Calcutta, 2004–2006.
• B.Tech in Aerospace Engineering, Indian Institute of Technology Kharagpur, 1997–2001.
• Certificate in Quantitative Finance, Fitch Learning, London, 2013. Final project: basket credit-default-swap pricing by copula and a multi-factor HJM model. PDF.

Contact

Always glad to talk to people working on enterprise data products, machine-facing APIs, agent reliability, or product leadership in regulated environments. Email or LinkedIn.