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Director of Product, Analytics APIs & Channels

Job in New York, New York County, New York, 10261, USA
Listing for: London Stock Exchange Group
Full Time position
Listed on 2026-01-15
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 167000 - 278300 USD Yearly USD 167000.00 278300.00 YEAR
Job Description & How to Apply Below
Location: New York

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 s is a high-visibility leadership role that partners closely with Engineering, Sales, CTO, Content & Methodologies, and major enterprise customers.##
** Key Responsibilities & Accountabilities
**** 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, Fin Tech 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.##
** Skills & Competencies
**** Required
* ** Proven leadership experience in
** financial data, investment analytics, quant platforms, market data distribution or developer-facing…
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