JP Morgan Chase & Co.

Principal Technical Program Manager - AI Product Development Lifecycle

JP Morgan Chase & Co. • $150K — $180K *
Jersey City, NJ 07310In-Person
Information Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 7+ years of experience in technical program management for large organizations
  • Experience in deploying and governing production-grade generative AI systems
  • Hands-on experience with Claude Code, GitHub Copilot, and GitHub workflows
  • Strong software engineering skills with the ability to read and critique code
  • Deep knowledge of differences between AI-native delivery and traditional software development
  • Proven ability to lead complex programs and influence across teams without direct authority
  • Experience with lean product development and process-reengineering methods.
  • Experience partnering with risk and compliance functions to embed controls in AI products.

Responsibilities

  • Develop and implement strategic technical program plans for execution
  • Guide selection and implementation of technologies and software tools
  • Champion process improvements based on best practices and emerging tech
  • Institutionalize the AI Product Development Lifecycle
  • Establish standards for agentic engineering operating models
  • Lead cross-organizational programs for AI-native delivery
  • Drive adoption of AI ideas into production through lean methods

Benefits

  • Comprehensive health and wellness programs
  • Career development opportunities tailored to employee growth
  • Flexible work arrangements
  • Inclusive work environment supporting diversity and innovation
Full Job Description
JOB DESCRIPTION

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 

About JP Morgan Chase & Co.

JP Morgan Chase & Co. stands at the forefront of the global financial services industry. They offer an expansive array of products and services to a diverse clientele, including individuals, corporations, governments, and institutions. Ever since the merger of J.P. Morgan & Co. and Chase Manhattan Corporation in 2000, this industry-leading entity has become renowned for its comprehensive portfolio encompassing consumer and community banking, corporate and investment banking, commercial banking, as well as asset and wealth management. Headquartered in the vibrant city of New York, JP Morgan Chase & Co. boasts a formidable presence across over 100 countries worldwide.

Unveiling Employment Opportunities at JP Morgan Chase & Co.

Vacancies and Hiring Initiatives

JP Morgan Chase & Co. is continuously on the lookout for talented individuals eager to contribute to its legacy of excellence. The company's recruitment efforts are geared towards identifying candidates with the right blend of skills and qualifications to drive forward its various business segments. Whether you are a seasoned professional or a recent graduate, JP Morgan Chase offers a plethora of job openings across multiple disciplines.

High-Demand Positions

Among the myriad of roles, certain positions stand out for their attractive compensation packages and career advancement prospects. Notably, high-paying jobs at JP Morgan Chase & Co. include Relationship Manager, Branch Manager, and Software Engineer. These roles are critical to the firm's operations and offer lucrative opportunities for those with the requisite expertise.

Navigating the Job Market at JP Morgan Chase & Co.

Leveraging Job Portals and Job Alerts

For job seekers aiming to tap into the opportunities at JP Morgan Chase, staying updated through job portals and subscribing to job alerts is crucial. These tools can provide timely information about job openings, job fairs, and recruitment events, enabling candidates to apply promptly and prepare adequately for interviews.

Preparing Your Job Application

Your job application, comprising your resume and cover letter, is your ticket to securing an interview at JP Morgan Chase. Highlight your qualifications, skills, and experiences that align with the job listing, ensuring you stand out in the competitive job market.

Acing the Interview

Preparation is key to succeeding in your interview with JP Morgan Chase. Familiarize yourself with the company's business segments, values, and recent achievements. Demonstrating how your background and aspirations match the company's goals can significantly increase your chances of employment. A World of Job Opportunites in the Financial Services Industry JP Morgan Chase & Co. offers a world of job opportunities for those seeking to make their mark in the financial services industry. With competitive salaries, comprehensive benefits, and endless possibilities for growth, positions at JP Morgan Chase are highly coveted. By staying informed through job sites, tailoring your applications, and preparing thoroughly for interviews, you can enhance your prospects of joining the esteemed ranks of JP Morgan Chase employees. Explore the job board, seize the job opportunities, and embark on a rewarding career journey with one of the world's leading financial institutions.
Learn more about JP Morgan Chase & Co.
Size
661 employees
Market Cap
$384.5 billion
Industry
Finance & Insurance
Net Income
$29.1 billion
Founded
1823
5 Year Trend
+0.7%
Revenue
$261.5 million
NASDAQ
CCF
* Ladders Estimates

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