Lead Technical Program Manager, Applied AI - Markets Operations
On-siteLondon, England, United Kingdom
Job Summary
Own the single release calendar across all platform component streams, keeping dependencies, milestones, and the critical path explicit and actionable. Maintain an end-to-end dependency map across engineering, product, design, controls, and operations partners, holding commitments recorded in it. Surface delivery risks and slippage early, driving issues to resolution with clear recommendations and trade-offs. Run an effective delivery cadence including planning, checkpoints, and working forums that stream leads prepare for and rely on. Coordinate release and migration sequencing into live solutions so changes do not break running operational processes in production. Define and own a metrics framework covering delivery progress, platform quality, performance, and business impact, building instrumentation from first principles rather than using existing tools. Ensure attribution is evidence-based, assigning issues to the correct pipeline stage and validating claims before escalation. Report outcomes alongside delivery status, communicating what shipped, what it is worth, and what is at risk to senior sponsors.
Required Qualifications
- Demonstrated experience running parallel technical workstreams to a shared milestone in a large organization, ideally in a regulated, high-stakes environment
- Technical fluency across software delivery, data, and AI systems, with the ability to follow architecture discussions, read decision records, and independently assess delivery risk
- Experience designing a metrics framework from first principles for work that has not previously been measured, distinguishing activity measures from outcome measures
- Proven ability to secure and sustain commitments from teams outside your reporting line through credibility, relationships, and clear accountability
- Strong executive communication skills, including directly owning sponsor relationships, making complex technical delivery understandable without losing substance, and defending evidence under challenge
- Demonstrated willingness to challenge assumptions and delivery confidence when evidence does not support them, while keeping delivery moving through shifting priorities
Desired Qualifications
- Exposure to AI or agentic systems running in production, including an understanding of what is different about measuring them
- Experience delivering platform or infrastructure programs where consumers are internal engineering and operations teams
- Experience partnering with controls, risk, or internal audit on technology delivery evidence and readiness
- Familiarity with operations processes in markets, banking, or other transaction-heavy environments
- Experience deriving delivery reporting from engineering systems rather than manual status collection
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