We are reimagining how JPMorgan Chase’s technologists learn, adopt, and apply modern software engineering practices. Our goal is to build the firmwide discipline needed to deliver secure, resilient, high-quality software at scale. This role sits at the intersection of learning strategy, experience design, and engineering craft. It will help turn emerging AI tools into everyday practices and shape how more than 65,000 technologists build AI fluency, strengthen their engineering capabilities, adopt modern patterns and practices, and use tools such as GitHub Copilot and Claude effectively.
As a Program Director – Learning & Enablement, you will serve as the firm's senior subject matter expert in software engineering learning and enablement, architecting and scaling enterprise learning strategies that advance engineering excellence, developer experience, and AI fluency. Through expertise in learning science, software engineering practices, and AI-enabled ways of working, you will influence leaders, shape firmwide standards, and drive adoption of modern engineering capabilities across more than 65,000 technologists.
Job responsibilities
- Serve as the firm's subject matter expert for software engineering learning and enablement, providing strategic guidance and thought leadership that shapes how technologists develop engineering capabilities, AI fluency, and modern software engineering practices across the enterprise.
- Architect and shape the firm's software engineering learning and enablement strategy, influencing capability-building priorities across Lines of Business, Tech Centers, and engineering domains to advance engineering excellence, developer experience, and responsible AI adoption.
- Establish the learning architecture, standards, and frameworks for modular, source-controlled learning experiences centered on the cognitive skills engineers need to adopt AI tools effectively, distributed via a pull-and-push model so Lines of Business and Tech Centers can consume content on demand.
- Build learning content into firmwide development programs, including internal conferences, technical workshops, early career education, and internships, ensuring consistent development of engineering fundamentals, modern delivery practices, and AI fluency across experience levels.
- Serve as a leader for the firm's software engineering and AI learning communities, cultivating peer-to-peer capability building, influencing standards and practices, and accelerating adoption of modern engineering approaches at scale.
- Define firmwide measurement standards that connect learning and enablement investments to engineering telemetry, developer experience, adoption of engineering practices, productivity outcomes, and organizational capability growth, providing actionable insights for senior leadership.
- Establish governance frameworks and guardrails that promote responsible adoption of AI-enabled engineering practices while maintaining alignment with firm risk, control, security, and compliance expectations.
- Direct platform and vendor governance across all learning applications and tooling in scope
Required qualifications, capabilities, and skills
- Demonstrated experience designing and scaling learning, engineering enablement, or developer experience initiatives for large technical populations.
- Strong understanding of modern software engineering patterns and practices across the product and software development lifecycle, including agile and product-oriented delivery.
- Model and advocate AI-enabled ways of working by leveraging modern developer tooling, AI coding assistants, and data-driven practices to improve capability development, productivity, and learning effectiveness across the ecosystem.
- Hands-on proficiency with AI coding assistants and code-generation tools (e.g., GitHub Copilot, Claude), with the ability to translate that fluency into teachable skills and sound engineering judgment.
- Experience building data-driven measurement frameworks that connect learning or enablement activity to behavioral or performance outcomes.
- Strong written and verbal communication skills, with the ability to produce executive-level strategy documents and presentations.
- Working proficiency in Python for data analysis.
- Familiarity with agentic/AI-native developer tooling and workflows (e.g., CLI-based AI coding agents, Model Context Protocol integrations).
Preferred qualifications, capabilities, and skills
- Experience with product strategy frameworks (e.g., BMAD) applied to internal tooling or programs.
- Experience running or scaling a Community of Practice or similar peer-learning model.
- Prior experience in vendor and platform governance for learning or engineering tooling.
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 for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- Experience designing and scaling learning, engineering enablement, or developer experience initiatives for large technical populations
- Strong understanding of modern software engineering patterns and practices across the product and software development lifecycle, including agile and product-oriented delivery
- Experience leveraging modern developer tooling, AI coding assistants, and data-driven practices to improve capability development, productivity, and learning effectiveness
- Hands-on proficiency with AI coding assistants and code-generation tools such as GitHub Copilot and Claude
- Experience building data-driven measurement frameworks connecting learning or enablement activity to behavioral or performance outcomes
- Strong written and verbal communication skills, including executive-level strategy documents and presentations
- Working proficiency in Python for data analysis
- Familiarity with agentic or AI-native developer tooling and workflows, including CLI-based AI coding agents and Model Context Protocol integrations
- Experience with product strategy frameworks such as BMAD applied to internal tooling or programs
- Experience running or scaling a Community of Practice or similar peer-learning model
- Prior experience in vendor and platform governance for learning or engineering tooling
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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