Senior Associate, Personalization - Product

JPMorgan Chase

Quick summary

Work type
On-site
Location
New York, NY
Salary
$99,750–$150,000 / yr
Posted
8 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $183k
This role $125k
$85k most similar roles pay here $234k

This role pays less than 88% of similar roles. Most pay $153,363–$213,375 — the shaded band above. At the midpoint, this role pays about $125k versus about $183k for comparable roles.

Based on 240 similar postings.

Employer

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 484 open roles on FindRole.

Listed pay typically runs $142,500–$205,000 across 246 roles with salary data.

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View all roles at JPMorgan Chase

At a glance

TL;DR · Senior Associate, Personalization - Product

As a Senior Product Associate in the Personalization and Insights Team at Consumer & Community Banking, you will lead the strategy and execution of machine learning-powered personalization initiatives across various channels including mobile, web, contact center, branch, and marketing. Your day-to-day responsibilities include translating user research into clear roadmaps, partnering with data science teams to design and iterate recommendation solutions, running experiments to validate impact, and ensuring compliance with privacy standards. You will work closely with cross-functional teams to manage backlogs, execute sprints, and deliver scalable model lifecycle infrastructure. The role requires experience in personalization products, hands-on experiment design, API-first cloud architectures, and understanding of responsible data practices in regulated environments.

What you'll do

  • Lead the strategy and execution of machine learning-powered personalization across various channels.
  • Translate user research into product roadmaps, epics, and acceptance criteria for sprints.
  • Coordinate with data science teams to ensure clear requirements and delivery milestones are met.
  • Support responsible data practices by collaborating with risk and privacy partners.
  • Deliver customer-facing AI products through the model lifecycle with engineering teams.

What we're looking for

  • Extensive experience in personalization and decisioning products, including hands-on experiment design and measurement.
  • Strong familiarity with agentic assistant patterns (memory, context, signals) for multi-channel customer experiences.
  • Proficient in API-first, event-driven architectures on cloud platforms and production monitoring fundamentals.
  • Deep understanding of responsible data practices, including privacy, consent, and fairness standards in regulated environments.
  • Ability to collaborate effectively across product, design, engineering, and business stakeholders.
  • Expertise in delivering customer-facing AI products through the entire model lifecycle with data science and engineering teams.
  • Skilled in translating user research and analytics into clear roadmaps and managing sprint execution from discovery to launch.

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