Lead Technical Program Manager

Job Responsibilities

• Develop and execute comprehensive program plans (scope, milestones, dependencies, resourcing, timelines) to ensure on-time delivery of ET&P capabilities
• Partner with engineering and product to define requirements, success metrics/OKRs, and roadmaps aligned to business and developer outcomes
• Identify and mitigate risks; proactively address roadblocks and implement contingency plans to maintain momentum
• Drive cross-functional execution across engineering, product, architecture, cybersecurity, and operations to deliver integrated outcomes
• Establish and maintain program operating rhythm (intake, prioritization, dependency management, release planning, status reporting, and governance)
• Champion adoption of agile ways of working and continuous improvement across teams
• Drive programs that deliver and improve CI/CD and release capabilities by partnering with engineering teams; define requirements, manage roadmap/dependencies, and track outcomes
• Leverage data-driven insights to improve adoption and productivity (e.g., active usage, DORA metrics, incident trends, lead time)
• Uses 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
• Promotes reuse-first, AI-assisted practices for program governance and reporting, ensuring human review and alignment to delivery standards

Required Qualifications, Capabilities, And Skills

• 8+ years of experience (or equivalent expertise) in technical program management leading complex technology initiatives in large organizations
• Strong stakeholder management skills with ability to influence decisions across engineering, product, and business leaders
• Demonstrated ability to independently reason through system behavior, production issues, and reliability/scalability trade-offs with senior engineers
• Proven track record managing dependencies, risks, and delivery in fast-paced, agile environments
• Strong data-driven approach: ability to define metrics/OKRs, measure impact, and drive continuous improvement
• Technical fluency across modern engineering practices (CI/CD, SDLC, release engineering, observability, incident management)
• 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
• Able to review and validate AI-assisted plans, risks, and recommendations before use, escalating when uncertain and following data handling expectations

About The Team

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.