Director of Product, Analytics APIs & Channels

LSEG•New York, NY

About The Position

We are seeking a Director of Product for Analytics APIs & Channels to lead the strategy, roadmap and execution of LSEG’s next-generation analytics ecosystem. This role is responsible for defining how customers access, compute on, and extract value from LSEG’s industry-leading financial data — through modern APIs, SDKs, analytics engines, and interoperability standards that drive real customer workflows. You will lead a cross-functional product portfolio spanning: Analytics APIs & developer tooling Data delivery and consumption layers Cloud-native analytics pipelines Query and compute frameworks Interoperability and semantic alignment (including MCP and OpenAPI-based schemas) “AI-ready content” preparation (framed as structuring and modernizing analytics, not AI product ownership) Data modelling & metadata standardization High-performance analytics for fixed income, equities, macro, and multi-asset workflows Reporting to senior leadership within LSEG’s Data & Analytics division, you will shape how LSEG serves quant researchers, portfolio managers, risk teams, fintech builders and enterprise developers — enabling seamless access to analytics at scale. This is a high-visibility leadership role that partners closely with Engineering, Sales, CTO, Content & Methodologies, and major enterprise customers.

Requirements

Proven leadership experience in financial data, investment analytics, quant platforms, market data distribution or developer-facing products.
Strong understanding of analytics used across buy-side and sell-side workflows (fixed income, equities, macro, ESG, multi-asset).
Experience with APIs, SDKs, cloud compute frameworks, and developer ecosystems.
Ability to translate complex analytics and data models into simple, intuitive products.
Skilled at influencing across engineering, commercial, operations and content teams.
Excellent communication skills and ability to articulate a compelling product vision.

Nice To Haves

Experience with cloud infrastructure (Azure, AWS, GCP), distributed compute or modern query engines.
Understanding of semantic models, data lineage, metadata standards, and schema governance.
Familiarity with analytics delivery via notebooks, scripting environments, workflow automation, or low-code tools.
Hands-on comfort with Python, SQL, or modern scripting languages (not as an engineer, but as a fluent partner for technical teams).

Responsibilities

Product Strategy & Vision Define the long-term strategy for LSEG’s Financial Analytics platform, ensuring world-class data access, computation, performance and developer experience. Drive modernization of analytics delivery through APIs, SDKs, and cloud-native compute. Set the vision for interoperability across datasets and analytics libraries, ensuring consistency, clarity and strong semantics. Lead the evolution of analytics content to be “AI-ready” — i.e., well-structured, well-documented, interoperable, and easily consumed by both humans and automated systems.
Portfolio Leadership Own roadmap, prioritization, and execution for multiple product lines across analytics APIs, developer tooling, and compute frameworks. Partner with Content & Methodology experts to ensure analytics definitions, calculations and metadata are accurate, consistent and transparent. Work with Engineering leaders to deliver scalable, low-latency analytics services across cloud regions.
Developer Experience & Tools Define best-in-class developer experience for analytics integration including SDKs, documentation, code samples, testing suites and workflow templates. Champion simplification — reducing time-to-first-insight and enabling customers to prototype faster. Ensure analytics products meet enterprise-grade requirements for reliability, performance, governance and versioning.
Customer & Market Alignment Engage directly with top-tier banks, hedge funds, asset managers and fintechs to understand their analytics workflows and pain points. Identify emerging market needs across quant research, portfolio construction, risk modelling, and macro analytics. Drive customer adoption and satisfaction through continuous improvement and roadmap transparency.
Cross-Functional Leadership Collaborate with Sales, Account Management, Engineering, Data Operations, FinTech partnerships and the Microsoft partnership teams to align product strategy and go-to-market execution. Partner with CTO & Architecture teams to ensure analytics workloads leverage modern infrastructure and meet security & compliance requirements. Contribute to LSEG’s broader transformation agenda, influencing standards across data access, APIs, cloud delivery and modelled content.
Governance, Standards & Quality Establish and enforce standards for analytics quality, metadata, lineage and correctness. Oversee versioning and change-management processes to ensure backward compatibility and transparency. Advocate for responsible data use, governance, and operational excellence across analytics solutions.