AI Principal Technical Program Manager
About The Position
As a Principal Technical Program Manager on JPMorganChase’s Corporate AI/ML Data Platforms team, you will lead complex, cross-functional technology projects and programs that affect clients, employees, and stakeholders across the firm. You will translate business, technical, and operational objectives into manageable work, navigate ambiguity, drive change, and use technical fluency to manage resources, budgets, and teams in support of strategic goals. As a subject matter expert, you will help develop operational plans and risk management strategies while maintaining high standards of service delivery. The role also involves using enterprise-authorized AI capabilities to support program planning, risk and dependency analysis, and executive reporting. You will validate AI-assisted outputs, handle data according to sensitivity requirements, and promote reuse-first, AI-assisted governance practices with human review. You will work with stakeholders across products and lines of business, and drive clarity on Agentic controls and governance within AMDP and with partners.
Requirements
- At least 7 years of experience or equivalent expertise in technical program management, leading complex technology projects and programs in large organizations.
- Extensive knowledge of modern technology concepts, terminology, and strategies, including artificial intelligence, cloud computing, data analytics, and emerging technologies.
- Demonstrated experience using enterprise-authorized AI capabilities in the work environment to support technical program management, 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 analytical reasoning, critical-thinking, and problem-solving skills to break down business, technical, and operational objectives.
- Ability to lead through change, manage dependencies, and control change in high-pressure, shifting environments.
- Advanced stakeholder-management expertise and ability to establish productive relationships and drive outcomes aligned with firm objectives.
- Experience partnering with risk, compliance, and control stakeholders to implement change in highly governed environments.
- Experience planning and leading leadership meetings and strategic events, and managing multiple client projects and workstreams.
- Advanced proficiency with spreadsheets, presentation tools, and AI-powered applications.
Nice To Haves
- Expertise in the AI and data product lifecycle, from data discovery and processing through model development, deployment, and monitoring.
- Experience delivering AI-driven programs in banking, financial services, or similarly regulated industries.
- Experience partnering with risk, compliance, control, and internal audit stakeholders to implement change in highly governed environments.
- Microsoft Azure AI Engineer Associate, Google Professional Machine Learning Engineer, Amazon AWS Certified AI Practitioner, AWS Cloud Practitioner, or Microsoft Azure Fundamentals certification.
Responsibilities
- Develop and implement strategic technical program plans aligned with organizational goals and cross-functional collaboration.
- Oversee complex technology project and program execution, managing resources, budgets, timelines, risks, and roadblocks.
- Use enterprise-authorized AI capabilities to accelerate program planning, dependency and risk synthesis, and executive-ready reporting, validating outputs and handling data according to sensitivity requirements.
- Engage, influence, and drive delivery of multiple AI initiatives with cross-functional, cross-product, and cross-line-of-business stakeholders.
- Drive clarity and delivery on Agentic controls and governance scope within AMDP and with partners.
- Scope problems, identify major issues and actionable opportunities, design solutions, and assess their implications.
- Build stakeholder, client, and cross-functional relationships; provide direction and define decision-making procedures.
- Prepare and deliver executive-level presentations, reports, and communications.
- Identify process optimization opportunities, incorporate best practices, and stay informed about emerging technologies.
- Promote reuse-first, AI-assisted practices for program governance and continuous improvement, ensuring human review and alignment with delivery standards.
Benefits
- Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
- Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
- Comprehensive health care coverage.
- On-site health and wellness centers.
- Retirement savings plan.
- Backup childcare.
- Tuition reimbursement.
- Mental health support.
- Financial coaching.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed
