Lead Technical Program Manager - Business Enablement & Transformation

JPMorganChase•Jersey City, NJ

About The Position

As a Lead Technical Program Manager in the Corporate Sector's Infrastructure Platforms - Data and Specialty Services team, you will drive delivery of complex technology projects and programs that support business goals across the firm. The role applies technical program management expertise to develop innovative solutions, manage resources and budgets, and guide high-performing teams. It requires analytical reasoning, adaptability, communication, and stakeholder management to navigate ambiguity and change, align technology initiatives with business goals, and influence decisions. As a subject matter expert, you will contribute to operational plans and risk management strategies while ensuring high-quality, professional service delivery. You will partner with the DSS domain leader as a trusted confidant, help prepare for internal processes such as Monthly Business Reviews, and own topics through due diligence, peer challenge, and effective storytelling. In partnership with engineering leads and product owners, you will align engineering teams’ books of work with OKRs and track deliverables against an integrated roadmap. The role also uses enterprise-authorized AI capabilities to support planning, risk synthesis, governance, and reporting, with human validation and appropriate handling of sensitive data.

Requirements

At least 5 years of experience, or equivalent expertise, in technical program management leading complex technology projects and programs in a large organization.
Demonstrated experience using enterprise-authorized AI capabilities in 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, escalate when uncertain, and follow data-handling expectations.
Advanced stakeholder management skills, including establishing productive working relationships and influencing decisions across cross-functional teams and clients.
Proven ability to manage resources, budgets, and high-performing teams in a fast-paced, agile environment.
Demonstrated analytical reasoning and problem-solving skills to break business, technical, or operational objectives into manageable tasks and activities.
Experience in resource management; technological, organizational, and/or operational change management; portfolio management; conflict resolution; negotiation; risk and controls; and partnership and influence.
Experience refining complex and ambiguous information into meaningful content and clear action plans.
Experience building strong relationships and partnerships across cross-functional teams.
Data analysis and presentation skills, with proficiency in MS Excel and PowerPoint.

Nice To Haves

Ability to influence, organize, and direct people across different seniority levels, teams, and departments.
Commitment to diversity and ethical, accountable, and transparent leadership.

Responsibilities

Develop and execute comprehensive project plans that incorporate technical requirements, resource allocation, and timelines to deliver technology solutions on time.
Partner with the DSS domain leader, provide broad perspectives and thematic feedback, and help prepare the leader for sessions and internal processes such as Monthly Business Reviews.
Own topics, challenge peers, and use effective storytelling to support due diligence and decision-making.
Partner with engineering leads and product owners to align the engineering teams’ book of work with OKRs and track deliverables against an integrated roadmap.
Use enterprise-authorized AI capabilities to accelerate program planning and risk synthesis, validate outputs, and handle data according to sensitivity requirements.
Identify and mitigate risks, address potential roadblocks, and implement contingency plans to maintain project and program momentum.
Collaborate with engineering, product, and business stakeholders to define program scope, objectives, and deliverables in alignment with business goals.
Assess program performance using analytical reasoning, identify improvement opportunities, and implement data-driven optimizations.
Champion agile delivery practices and continuous improvement, fostering continuous learning and innovation.
Promote reuse-first, AI-assisted practices for program governance and reporting, ensuring human review and alignment with delivery standards.