AI Delivery Lead

LSEG Corporate Engineering builds Group-wide AI products and services that help colleagues find trusted knowledge, complete work and interact with enterprise systems more effectively.

Reporting to the Director of AI Solutions Engineering, you will help our AI Engineering and Product teams plan, prioritise and deliver work across a growing portfolio of AI products and capabilities.

You will establish clear, pragmatic ways of working that improve visibility, coordination and predictability without creating unnecessary process. Working closely with Product and Engineering, you will connect priorities to delivery, help teams manage complexity and ensure stakeholders have a clear view of progress, risks and dependencies.

Lead delivery

• Lead planning, estimation and forecasting across AI product and engineering teams, improving predictability over time.
• Manage dependencies, risks and blockers across teams and help resolve issues that affect delivery.
• Maintain clear visibility of priorities, progress and commitments across the portfolio.
• Help teams accommodate discovery, experimentation and changing priorities without losing delivery focus.

Improve how we work

• Establish trusted backlogs that connect customer and business priorities to engineering delivery.
• Work with Product and Engineering to ensure work is well shaped, prioritised, ready for delivery and has clear acceptance criteria and completion expectations.
• Establish lightweight delivery practices appropriate to the work, using approaches such as Scrum or Kanban where they fit.
• Continuously improve how teams plan, coordinate and deliver, reducing unnecessary meetings, administration and reporting.

Make delivery transparent

• Ensure Jira and supporting tooling provide a reliable view of work from demand through to delivery.
• Use appropriate delivery measures to improve understanding of progress, predictability and change.
• Use automation and AI to reduce manual reporting and coordination.
• Provide clear, evidence-based updates for stakeholders, leadership and product reviews.

Partner across Product and Engineering

• Work closely with Product and Engineering leadership to align priorities, capacity and delivery expectations.
• Make trade-offs, dependencies and delivery risks visible and help teams resolve them early.
• Build confidence with stakeholders through clear plans, transparent communication and reliable delivery information.

What you'll bring

• Experience leading delivery within software, data or AI product teams.
• Strong experience of backlog management, planning, forecasting and dependency management.
• Enough technical depth to work credibly with engineers on architecture, data, integration and delivery dependencies.
• A good understanding of how AI products are developed, tested, evaluated and improved.
• Strong facilitation and communication skills.
• Understanding of the security, risk and governance considerations involved in delivering AI products in an enterprise environment.
• Experience working in complex, governed or regulated environments.