Lead Technical Program Manager - Post Settlement Investigation

Job Description

Leverage your deep technical expertise and leadership to guide cutting‑edge projects, fostering growth and innovation in a dynamic environment. As a Lead Technical Program Manager in Corporate Investment Bank – Post Settlement Investigation (PSI), you will drive the successful delivery of complex technology projects and programs that help reach business goals across the firm.

• Own program delivery for PSI initiatives across markets, from intake and discovery through execution, release readiness, and post‑launch stabilization
• Build and maintain integrated program plans (scope, milestones, dependencies, resources, timelines, and critical path) and ensure predictable delivery outcomes
• Drive cross‑team execution by aligning engineering, product, operations, and business stakeholders on objectives, deliverables, and success metrics
• Identify, track, and mitigate risks, issues, and dependencies; establish clear escalation paths and contingency plans to maintain momentum
• Lead Agile ceremonies and governance (planning, refinement, sprint/PI execution, demos, retrospectives), while tailoring rigor appropriately for complex deliveries
• Establish program reporting and insights (OKRs/KPIs, delivery health, throughput, quality, operational readiness), using data to recommend improvements
• Support regulatory, operational, and control considerations by partnering with risk/control stakeholders to ensure appropriate documentation, testing, and audit readiness
• Collaborate on technical direction and implementation planning, ensuring alignment to target architecture and non‑functional requirements (resiliency, performance, security)
• Partner with operations and product to improve investigation workflows, including case lifecycle management, exception handling, root‑cause analysis loops, and feedback into upstream fixes where applicable
• Promote reuse‑first, AI‑assisted practices for program governance and reporting, ensuring human review and alignment to delivery standards
• Use enterprise‑authorized AI capabilities within the work environment to accelerate program planning and risk synthesis (e.g., consolidating inputs into integrated plans, RAID, and executive‑ready updates), validating outputs and handling data according to sensitivity requirements

• 5+ years of experience or equivalent expertise in technical program management, leading complex technology projects and programs in a large organization
• Advanced expertise in stakeholder management, with the ability to establish productive working relationships and influence decision‑making across cross‑functional teams and clients
• Advanced experience in utilizing technical fluency, including knowledge of vendor products and managing vendor relations, to enable on‑demand access to shared pools of applications and services
• Proven track record of effectively managing resources, budgets, and high‑performing teams in a fast‑paced, agile environment
• Demonstrated proficiency in applying analytical reasoning and problem‑solving techniques to break down business, technical, or operational objectives into manageable tasks and activities
• Demonstrated experience using enterprise‑authorized AI capabilities within the work environment to support program management workflows with strong validation habits and awareness of data sensitivity
• Ability to review and validate AI‑assisted plans, risks, and recommendations before use, escalating when uncertain and following data handling expectations

• Agile Scrum and/or PMP certification (CSM/PSM, SAFe, PMP)
• Experience applying Agentic AI (or similar automation approaches) to program execution—e.g., workflow automation, artifact generation, intelligent status reporting—within appropriate risk and controls frameworks
• Experience supporting global, multi‑market rollouts with complex stakeholder groups, release coordination, and operational readiness requirements
• Background in payments technology, transaction processing, investigations or platforms with high availability, resiliency, and strong control requirements