Responsibilities
- As part of LSEG Enterprise AI, we are hiring a Senior Product Manager – AI Core Platform to define and drive the strategy, roadmap and delivery of the foundational platform capabilities that enable secure, scalable and governed AI expansion across LSEG product portfolio
- Enabling engineering teams to rapidly build AI-powered products on a common enterprise platform and ensuring a market leading AI experience for LSEG’s customers
- Defines the vision, strategy and roadmap for LSEG’s AI Core Platform
- Owns product direction for enterprise AI platform capabilities including AI Gateway, MCP SDK, IAM, orchestration, scale and shared platform services
- Partners with Engineering to deliver secure, scalable and highly available platform capabilities
- Establishes platform standards, APIs and reusable services that accelerate AI product development across LSEG
- Drives enterprise adoption of common AI infrastructure and developer tooling
- Collaborates with Security, Architecture, Governance and Risk teams to ensure compliance with enterprise policies and Responsible AI standards
- Works closely with product teams across LSEG to understand platform requirements and prioritise roadmap investments
- Defines success metrics and monitors platform adoption, operational performance and developer experience
- Engages with strategic technology partners and cloud providers to shape platform capabilities and leverage emerging AI technologies
- Contributes to LSEG’s long-term Enterprise AI strategy by delivering foundational capabilities that support innovation at scale
Qualifications
- Strong understanding of AI platforms, LLM ecosystems, MCP Servers, API gateways, orchestration frameworks and enterprise security is essential.
- Demonstrated ability to lead cross‑functional teams and influence senior stakeholders.
- Significant experience in Product Management, Platform Product Management or Developer Platform products.
- Experience delivering enterprise software platforms, APIs or cloud‑native services.
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems or equivalent experience.
- Exposure to financial data, analytics systems and enterprise‑scale data workflows.
- Familiarity with BI tools, metrics stores, distributed tracing and monitoring stacks.
- Experience working within large‑scale, regulated technology environments is preferred.
- Ability to drive cross‑functional alignment and establish group‑wide standards.
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