Vice President - Policy Engine & Data Contracts Engineer

The Chief Data and Analytics Office accelerates the firm's data and analytics journey by improving data quality, integrity, and security and enabling better decision-making.

The Strategy and Execution team defines and delivers the data and analytics vision and strategy, maximizing the value of data globally.

This role focuses on shaping the standards, vocabularies, and models that define how data is shared responsibly at the firm - and on building the developer-friendly software that puts those models into practice at scale.

As a Vice President, Policy Engine and Data Contracts Engineer in the Chief Data and Analytics Office Strategy and Execution team, you are both a modeler and a builder.

You author the firm's data-use policy model as a W3C Open Digital Rights Language (ODRL) profile, govern its evolution, and design the data contract representations that ride on top of it.

In parallel, you build the Python services, application programming interfaces (APIs), and tooling that evaluate, translate, and explain those policies - across an RDF triple-store backend and large language model (LLM)-assisted authoring surfaces.

You partner with legal, privacy, and engineering stakeholders to turn ambiguous policy intent into precise, machine-readable structures, and you ship working software in iterative releases.

Job Responsibilities

- Author and maintain the firm's data-use policy model as a W3C ODRL profile, including the controlled vocabularies, constraint types, and shapes that constitute it.

- Design data contract representations on top of the policy model; support authoring, validation, storage, and versioning in an RDF triple-store.

- Build and maintain a Python-based ODRL policy evaluation engine that processes data-use policies against runtime requests, including permissions, prohibitions, obligations, and conflict resolution.

- Develop adapters that translate policies conforming to external ODRL profiles (for example, market data services profiles) into the internal data-use policy model.

- Author Shapes Constraint Language (SHACL) shapes that define what a well-formed policy looks like; implement validation, consistency checks, and regression tests for policy graphs.

- Govern the evolution of the policy vocabulary as new use cases arise; align it with adjacent standards, including ODRL, Data Catalog Vocabulary (DCAT), Data Product Ontology (DPROD), and Provenance (PROV); publish model decisions and rationale.

- Build English-to-ODRL and ODRL-to-English translation pipelines, including LLM-assisted drafting and explanation with guardrails.

- Deliver APIs and tooling that enable stakeholders to author, review, and understand policies without reading Turtle.

- Partner with legal, privacy, and engineering teams to clarify ambiguous policy text and formalize it into machine-readable form, feeding lessons back into the model.

Required qualifications, capabilities, and skills

- Hands-on experience building systems with W3C ODRL, incl...