Drimva

JPMorgan Chase

Personalization Product Manager – Data Platform

$133K–$215K

New York, NY · Manager · Full-time · Posted Oct 23, 2026

Experience
5+ years of experience or equivalent expertise in product management or a relevant domain area.

About the job

Leads strategy and execution for machine-learning-powered personalization and next-best-action products across customer channels, translating research and analytics into roadmaps, experiments, and scalable model lifecycle capabilities.

What you'll do

  • Translate customer research and analytics into product roadmaps, requirements, user stories, and acceptance criteria; manage backlog and sprint execution.
  • Coordinate with data science, engineering, channel teams, and business stakeholders on solution design, experiments, delivery, and model monitoring.
  • Track product outcomes and support responsible data practices, including privacy, consent, and fairness.

What they ask for

  • 5+ years of experience or equivalent expertise in product management or a relevant domain area.
  • Proficient knowledge of the product development life cycle, including discovery and requirements definition.
  • Working knowledge of data analytics and data literacy; familiarity with AWS data lakes, Snowflake, and modern data platforms.
  • Ability to understand and query data sets for analysis or requirements gathering, such as using SQL or Python.

Nice to have

  • Experience supporting personalization and decisioning products, including experiment design and measurement.
  • Familiarity with agentic assistant patterns, cloud architectures, responsible data practices, or machine learning concepts.

Pay

$133,000.00-$215,000.00 USD base salary

Tools

AWS, Snowflake, Jira, SQL, Python, Tableau, Grafana

AI focus

Leads machine-learning-powered personalization and next-best-action capabilities; supports agentic assistant data products and coordinates model design, training, evaluation, deployment, and monitoring.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)