AI Principal Technical Program Manager

Leverage your deep technical expertise and leadership to guide cutting-edge projects, fostering growth and innovation in a dynamic environment. As a Principal Technical Program Manager at JPMorganChase in Corporate- AI/ML Data Platforms team, you will lead complex, multi-functional technology projects and programs that will impact experiences for multiple groups across the firm, including clients, employees, and stakeholders. Your advanced analytical reasoning and adaptability skills will enable you to break down business, technical, and operational objectives into manageable tasks, while navigating through ambiguity and driving change. Using your demonstrated technical fluency, you will effectively manage resources, budgets, and cross-functional teams to deliver innovative solutions that align with the firm's strategic goals. As a subject matter expert, you will contribute to the development of operational plans and risk management strategies, ensuring the highest quality and professionalism in service delivery. Job responsibilities Develops and implements strategic technical program plans, aligning with organizational goals and cross-functional collaboration Oversees complex technology project and program execution, managing resources, budgets, and timelines while mitigating risks and addressing roadblocks Uses enterprise-authorized AI capabilities within the work environment to accelerate program planning, dependency/risk synthesis, and executive-ready reporting, validating outputs and handling data according to sensitivity requirements. Engages, influences, and drives delivery of multiple AI initiatives with cross-functional, cross-product, and cross-line of business stakeholders. Drives clarity and delivery on Agentic controls and governance scope within AMDP and with partners. Scopes problems, identifies major issues and actionable opportunities, design solutions, and qualify the implications and “so what’s” Fosters strong relationships with stakeholders, clients, and cross-functional teams, providing direction and defining decision-making procedures for beneficial outcomes Prepares and deliver executive-level presentations, reports, and communications Champions 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 continuous improvement routines, ensuring human review and alignment to delivery standards. Required qualifications, capabilities, and skills 7+ years of experience or equivalent expertise in technical program management, leading complex technology projects and programs in large organizations Extensive knowledge and understanding of modern technology concepts, terminology, and strategies, including but not limited to artificial intelligence, cloud computing, data analytics and emerging technologies. Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support technical 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. Advanced analytical reasoning skills, applying critical thinking and problem-solving techniques to break down business, technical, and operational objectives Proven ability in leading through change, managing dependencies, and controlling change in high-pressure, shifting environments Advanced expertise in stakeholder management, establishing productive relationships, and driving beneficial outcomes aligned with firm objectives Experience partnering with risk, compliance, and control stakeholders to implement change in highly governed environments Experienced in planning and leading leadership meetings, strategic events, and managing multiple client projects and workstreams. Advanced proficiency with spreadsheets, presentation tools, and AI-powered applications to drive insights and efficiency. Preferred qualifications, capabilities, and skills Expertise on the AI and data product lifecycle, spanning from data discovery, data processing, model development, model deployment, and model 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 Certification, or Microsoft Azure Fundamentals certifications]