Principal Technical Program Manager - AI Product Development Lifecycle

Elevate your career by steering multi-faceted tech programs, integrating

innovative solutions for a dynamic impact across global operations.

As a Principal Technical Program Manager in Operating Model Enablement, 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.

With 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. Your exceptional communication and influencing

abilities will foster productive relationships with stakeholders, ensuring

alignment and effective risk management. In this pivotal role, you will

contribute to the development of new policies and processes, shaping the future

of our technology landscape.

Job responsibilities

* Develop and implement strategic technical program plans, aligning with

organizational goals and cross-functional collaboration, and oversee complex

program execution by managing resources, budgets, and timelines while

mitigating risks and addressing roadblocks

* Guide the selection and implementation of appropriate technologies, platforms

and software tools leveraging advanced technical fluency

* Champion continuous improvement by identifying process optimization

opportunities, incorporating best practices, and staying abreast of emerging

technologies

* Institutionalize the AI Product Development Lifecycle (AI PDLC), including

use case intake, data and prompt versioning, evaluation gates,

human-in-the-loop design, model risk integration, deployment, drift

monitoring, and retirement

* Expand and scale the agentic engineering operating model by establishing

reference architectures, shared tooling, evaluation harnesses, guardrail

patterns, and observability standards for production-grade agentic systems

* Lead multi-quarter, cross-organizational programs that accelerate AI-native

delivery across product, engineering, architecture, data, risk, controls, and

operations teams without direct line authority

* Drive adoption of the path from AI idea generation to production by applying

value stream mapping, flow metrics, work-in-progress limits, queue analysis,

and lean methods to remove handoffs, duplicated reviews, and other sources of

coordination cost

* Partner with model risk, technology risk, cybersecurity, compliance, and

audit as design partners to embed governance and automated control evidence

directly into AI engineering and delivery workflows

* Advise senior technology leaders on where agentic systems create value or

risk, translate AI investments into measurable outcomes, and use cycle time,

throughput, change failure rate, evaluation quality, and risk posture to

guide decisions

* 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.

* 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

* Demonstrated experience designing, building, deploying, or governing

production-grade generative AI and agentic systems, including tool use,

orchestration, evaluation, guardrails, observability, and human oversight

* Advanced hands-on experience using Claude Code, GitHub Copilot, and

GitHub-based engineering workflows for prompt and context design, code

generation, testing, debugging, code review, documentation, and workflow

automation

* Strong AI and software engineering depth with the ability to read and

critique code, assess architecture and implementation trade-offs, and

challenge engineering teams on security, scalability, reliability, and

production readiness

* Deep understanding of how AI-native delivery differs from traditional

software development, including non-deterministic testing, prompt and data

versioning, evaluation gates, model and behavior drift, and continuous

monitoring

* Proven ability to lead complex, multi-quarter transformation programs across

autonomous technology organizations and influence senior product,

engineering, data, risk, and control stakeholders without direct authority

* Experience applying lean product development and process-reengineering

methods, including value stream mapping, flow, work-in-progress limits, queue

and handoff analysis, and outcome-based delivery metrics

* Demonstrated success partnering with model risk, technology risk,

cybersecurity, compliance, and audit functions in a regulated environment to

embed controls into AI products and engineering workflows

* 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.

Preferred qualifications, capabilities, and skills

* Experience defining or implementing an enterprise AI PDLC, AI engineering

standards, reference architectures, evaluation frameworks, or reusable

patterns adopted across multiple products, platforms, or engineering teams

* Experience designing or operating agentic workflows with orchestration

frameworks, Model Context Protocol (MCP), tool and API integrations,

retrieval and context engineering, structured evaluation, and secure access

to enterprise systems

* Recent applied AI, machine learning platform, or agentic engineering

experience with responsibility for production outcomes, reliability,

monitoring, or value realization

* Demonstrated portfolio of AI-native prototypes, reference implementations,

engineering accelerators, playbooks, internal standards, or communities of

practice that progressed into sustained use

* Background spanning technology strategy, program leadership, operating-model

transformation, engineering productivity, and large-scale modernization in a

regulated enterprise

* Recognized thought leadership in AI engineering, agentic systems, software

delivery transformation, enterprise operating models, or emerging technology

adoption

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

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.