Senior Associate Product Manager (Enterprise AI)
- Source: Workday
- London Stock Exchange
- On-site
- London
- Full-Time
- Senior
Job Description
- As part of LSEG Enterprise AI, support the strategy, roadmap and delivery of foundational platform capabilities that enable secure, scalable and governed AI expansion across LSEG’s product portfolio. This is an opportunity for an early-career product manager to develop their craft across platform and enablement areas, supporting LSEG teams to build AI-powered products on a common enterprise platform
- Support the definition of vision, strategy and roadmap for LSEG’s Enterprise AI Platform, working closely with stakeholders including product managers and engineering teams
- Assist in owning product direction for one or more platform capability areas (e.g. platform services, developer tooling, agent capabilities, governance and enablement), as assigned
- Participate in hands-on frontier AI products, prototyping, building and validating with customers
- Partner with Engineering to help deliver secure, scalable and reliable platform capabilities, tracking delivery progress and surfacing blockers
- Help maintain platform standards, documentation and reusable services that support AI product development across LSEG
- Support adoption of common AI infrastructure and tooling, including gathering feedback from internal teams and users
- Work with Security, Architecture, Governance and Risk teams to help ensure platform features comply with enterprise policies and Responsible AI standards
- Engage with product teams across LSEG to gather requirements, document use cases and support roadmap prioritisation
- Help define and track success metrics for platform adoption, operational performance and developer experience
- Assist in coordinating with industry partners and cloud providers on specific platform initiatives
- Contribute to LSEG’s Enterprise AI strategy by supporting delivery of foundational platform capabilities- Strong communication skills and the ability to work effectively with cross-functional teams
- Experience or coursework involving software platforms, APIs or cloud-native services is a plus
- Bachelor’s degree in Finance, Computer Science, Engineering, Information Systems or equivalent experience
- Early career experience in Product Management, Business Analysis, Engineering or a related field (internships and graduate schemes considered)
- Some understanding of or strong interest in AI platforms, LLM ecosystems, APIs and enterprise software is desirable
- Curiosity, willingness to learn quickly, and comfort operating in a fast-changing environment
- Prior experience working in or alongside technology teams in a large organisation
- Exposure to financial data, analytics systems or enterprise-scale data workflows
- Familiarity with basic BI tools, metrics dashboards or monitoring stacks
Skills
- workday
