Principal Technical Program Manager, AI Product Development Lifecycle

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Jersey City, NJ
Posted
8 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $201k
$147k most similar roles pay here $269k

This listing doesn't post a salary. Most similar roles pay $177,250–$224,650.

Based on 239 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1117 open roles on FindRole.

Listed pay typically runs $186,160–$215,000 across 7 roles with salary data.

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At a glance

TL;DR · Principal Technical Program Manager, AI Product Development Lifecycle

As a Principal Technical Program Manager - AI Product Development Lifecycle within the Operating Model Enablement team, you will lead complex, multi-functional programs to integrate innovative solutions across firm-wide operations. You will be responsible for institutionalizing the AI Product Development Lifecycle, including use case intake, data and prompt versioning, evaluation gates, and drift monitoring. Your role involves scaling agentic engineering operating models by establishing reference architectures, shared tooling, and observability standards. You will drive adoption of production paths using value stream mapping and lean methods to reduce coordination costs while partnering with risk and compliance teams to embed automated controls. Required skills include expertise in generative AI, agentic systems, and software engineering. You will utilize tools like Claude Code and GitHub Copilot within GitHub-based workflows to manage programs, evaluate architecture trade-offs, and ensure production readiness for AI-native delivery.

What does a Technical Program Manager earn?

Median $193000 from 169 postings across 37 companies.

See salary data

What you'll do

  • Develop and execute strategic technical program plans while managing resources, budgets, and timelines to mitigate risks.
  • Institutionalize the AI Product Development Lifecycle including use case intake, data versioning, evaluation gates, and drift monitoring.
  • Scale the agentic engineering operating model by establishing reference architectures, shared tooling, and observability standards.
  • Lead multi-quarter programs to accelerate AI-native delivery across product, engineering, risk, and operations teams.
  • Optimize workflows using value stream mapping and lean methods to reduce coordination costs and remove process bottlenecks.
  • Partner with risk, security, and compliance teams to embed automated controls into AI engineering workflows.
  • Advise senior leaders on agentic system value and translate AI investments into measurable outcomes.
  • Utilize enterprise-authorized AI tools to accelerate program planning, dependency synthesis, and executive reporting.

What we're looking for

  • 7+ years of experience in technical program management leading complex projects in large organizations.
  • Experience designing, building, deploying, or governing production-grade generative AI and agentic systems.
  • Advanced hands-on experience with Claude Code, GitHub Copilot, and GitHub-based engineering workflows.
  • Deep knowledge of AI-native delivery, including non-deterministic testing, prompt/data versioning, and model drift monitoring.
  • Ability to read and critique code while assessing architecture for security, scalability, and reliability.
  • Proven ability to lead multi-quarter transformation programs and influence senior stakeholders without direct authority.
  • Experience applying lean product development methods like value stream mapping and flow metrics.
  • Experience partnering with risk, cybersecurity, and compliance teams in regulated environments to embed controls into workflows.

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