Job Description

Join our team to play a pivotal role in steering multi-faceted technology programs, integrating innovative solutions, and driving impact across technology.

As a Lead Technical Program Manager within Global Technology’s Chief Data & Analytics Office (CDAO), you will play a pivotal role in steering multi-faceted technology programs, integrating innovative solutions, and promoting impact across technology. The role partners closely with Engineering, Data, Controls, and Risk to drive delivery discipline, manage scope, risks, and resourcing, and ensure secure-by-design requirements (e.g., auditability, data handling, and change governance) are embedded throughout the program lifecycle. With demonstrated technical fluency, you will manage resources, budgets, and cross-functional teams to deliver innovative solutions aligned to strategic goals. This position is central to scaling delivery rigor, strengthening stakeholder alignment across Lines of Business, and sustaining momentum as platform capabilities and adoption continue to expand.

Job responsibilities

• Create and maintain detailed project plans, timelines, and delivery schedules for assigned programs. Manage day-to-day program execution using JIRA, Confluence, and other project management tools, ensuring accurate tracking of user stories, epics, and sprint progress
• Facilitate agile ceremonies, including sprint planning, daily standups, retrospectives, and backlog grooming, with engineering teams. Maintain comprehensive program documentation, including status reports, risk registers, RAID logs, and dependency matrices
• Oversee engineering risks, issues, and dependencies across assigned programs. Engage stakeholders, including customers and partners across Lines of Business (LOBs)
• Guide the selection and implementation of appropriate technologies, platforms, and software tools, leveraging technical fluency
• Champion continuous improvement by identifying process optimization opportunities, incorporating best practices, and staying abreast of emerging technologies. Promotes reuse-first, AI-assisted practices for program governance and reporting, ensuring human review and alignment to delivery standards.
• Partner with Product to drive business outcomes, ensuring technical programs align with strategic goals
• Prepare and deliver regular status updates and presentations to stakeholders and leadership, communicating progress, risks, and blockers
• Own program financial management by building and maintaining budget forecasts, tracking actuals vs. plan, managing vendor/tooling spend, and surfacing variances and funding risks to leadership in a timely manner
• Teamwide governance :driving QBR/MBR and operating cadence, coordinating executive readouts and decision logs, aligning priorities across workstreams, and ensuring follow-through on actions and key commitments
• 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.

Required qualifications, capabilities, and skills

• Significant experience (or equivalent expertise) in technical program management, leading complex technology initiatives in large organizations
• Proven track record of effectively managing resources, budgets, and high-performing teams in a fast-paced, agile environment
• Hands-on experience with agile delivery tools (JIRA, Confluence) and planning tools (e.g., MS Project), with proven ability to maintain accurate program artifacts and metrics
• Strong analytical reasoning skills, applying critical thinking and problem-solving techniques to break down business, technical, and operational objectives
• Proven ability to lead through change, manage dependencies, and control scope in high-pressure, shifting environments
• Strong stakeholder management skills, building productive relationships and driving outcomes aligned with firm objectives
• Experience navigating complex data governance, security, and compliance requirements across multi-cloud and hybrid data environments at enterprise scale
• 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.

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.