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JPMorgan Chase

AI Principal Technical Program Manager

New York, NY, United States

Base Pay/Salary NY $194,750.00-$285,000.00

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Job details

Pay: Base Pay/Salary NY $194,750.00-$285,000.00
Experience: 7+ years of experience or equivalent expertise in technical program management, leading complex technology projects and programs in large organizations
Posting language: English
Posted: Nov 10, 2026

Original job description

AI Principal Technical Program Manager

NY, United States

Job Information

Job Identification 210807776
Job Category Technical Program Delivery
Business Unit Corporate Sector
Posting Date 11/09/2026, 04:51 AM
Locations 277 Park Ave, New York, NY, 10172, US
Job Schedule Full time
Base Pay/Salary NY $194,750.00-$285,000.00

Job Description

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]

About Us

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs (https://careers.jpmorgan.com/us/en/how-we-hire/faqs) for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

About the Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.

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More about this job

Skills

Leadership
ML
Adaptability
Manage resources
Risk management
Collaboration
Reporting
Decision making
Presentation skills
Process improvement
Program management
Artificial intelligence
Cloud computing
Data analysis
Critical thinking
Problem solving
Stakeholder management
Regulatory compliance
Process data
Auditing
Machine learning
AWS certification
AWS
Microsoft Azure

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