Product Director, Personalization & Customer Insight

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
New York, NY
Employment
Full-time
Posted
9 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $228k
$164k most similar roles pay here $287k

This listing doesn't post a salary. Most similar roles pay $192,600–$263,220.

Based on 240 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 1122 open roles on FindRole.

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At a glance

TL;DR · Product Director, Personalization & Customer Insight

As Product Director – Personalization & Customer Insight, you will lead the Intelligence team to transform customer data into actionable insights while mentoring product managers and shaping the long-term strategy for AI-powered products. You are responsible for the entire product lifecycle, from initial discovery and roadmap development to execution across a matrixed organization. Your daily work involves pressure-testing model design, evaluation, and experimentation tradeoffs alongside Data Scientists and ML Engineers to deliver personalized experiences. You will manage risk, ensure responsible AI practices, and define KPIs for engagement and reliability. The role requires deep expertise in the product development lifecycle, data analytics, and delivering ML-driven personalization. Technical requirements include hands-on fluency with SQL, Python, and AI-assisted tools like GitHub Copilot or Claude to query data, frame problems, and validate LLM-based solutions within a complex banking context.

What you'll do

  • Define the product vision and multi-year roadmap for AI-powered intelligence and personalization products.
  • Lead and mentor a team of product managers to deliver high-quality features on time.
  • Pressure-test model design, evaluation, and iteration for LLM/ML-based solutions alongside data scientists.
  • Translate research and analytics into actionable plans while managing risk, cost, and reliability metrics.
  • Design and execute experiments, such as A/B testing, to validate product impact and measure outcomes.
  • Ensure responsible AI practices, including consent management and fairness, across the entire portfolio.
  • Align cross-functional partners in a matrixed organization on contracts, SLAs, and shared goals.
  • Use SQL or Python to query data and sanity-check models during the development lifecycle.

What we're looking for

  • 8+ years of experience or equivalent expertise delivering products, projects, or technology applications.
  • Extensive knowledge of the product development life cycle, technical design, and data analytics.
  • Proven success delivering AI/ML-powered products to production in customer-facing environments with Data Science and ML Engineering teams.
  • Demonstrated success with ML-driven personalization and next-best-action, including experimentation and rigorous outcome measurement.
  • Hands-on data fluency using SQL, Python, or AI-assisted tools to query data and sanity-check models.
  • Proven ability to manage stakeholders across a matrixed organization and communicate effectively with executive leadership.
  • Experience leading a product team through growth or ambiguity (preferred).
  • BS or MS in Engineering, Data Science, or a comparable field (preferred).

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