Lead Technical Program Manager, Applied AI - Markets Operations

Join a team rebuilding Markets Operations on a governed agentic platform that is already running critical processes in production. You will lead delivery across parallel platform components, connecting engineering, product, controls, and operations to land releases safely and predictably. This is a senior, hands-on role where you own the single release calendar, unblock dependencies, and make progress and impact measurable. You will help define how we measure agentic systems in production and defend those measures with senior sponsors. If you want to drive outcomes, not just produce status reporting, this role is built for you. As a Lead Technical Program Manager in Applied AI within Markets Operations, you will own the delivery of a governed agentic platform portfolio from planning through release and migration into live operational solutions. You will keep the critical path current, drive cross-team dependencies to closure, and surface trade-offs with clear recommendations. You will define and own a practical metrics framework for delivery, platform health, and business impact, and translate that story to sponsors with evidence that stands up to technical, controls, and audit scrutiny. You will participate in architecture discussions, read decision records, and independently assess whether delivery confidence is supported by evidence. Job Responsibilities Own the single release calendar across all platform component streams, keeping dependencies, milestones, and the critical path explicit, current, and actionable. Maintain an end-to-end dependency map across engineering, product, design, controls, and operations partners, and hold 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 (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 and performance, and business impact. The instrumentation for measuring agentic systems is immature across the industry, so expect to build the framework rather than run one you are handed. Ensure attribution is evidence-based, assigning issues to the correct pipeline stage, tiering severity consistently, and validating claims before escalation. Report outcomes (for example, effort returned to the business and autonomy progression) alongside delivery status, stating clearly where instrumentation does not yet support a claim. Own the cadence, content, and narrative for sponsor and senior management reporting, communicating what shipped, what it is worth, what was learned, and what is at risk. Maintain the platform decision record, including what was decided, by whom, on what basis, and what depends on it. Establish lightweight delivery practices and improve reporting tooling so status is derived from systems teams already work in, not manual collection. Required Qualifications, Capabilities, and Skills 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. Preferred Qualifications, Capabilities, and Skills 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. About the team: Applied AI builds and runs the governed agentic platform that Markets Operations is being rebuilt on, including case orchestration, agent serving, context and memory, a policy engine that enforces controls deterministically outside the model’s reach, a governed gateway to firm systems, and an operator interface where people supervise and correct what agents do. Several operational solutions run on the platform today, with more committed. #CIBAppliedAI