Personalization Product Manager – Data Platform

JPMorgan Chase & Co. • New York, NY

8h • $133,000 - $215,000

About The Position

As a Product Manager within the Personalization and Insights Team, you will lead strategy and execution for machine learning–powered personalization and next-best-action capabilities across mobile, web, contact center, branch, and marketing. You will use research, analytics, and customer feedback to shape roadmaps and improve products, partnering with data science, machine learning engineering, channel teams, and business stakeholders to prioritize opportunities and develop recommendation, next-best-action, and agentic solutions. The role includes validating impact through experiments and helping operationalize scalable, reliable model lifecycle infrastructure while upholding privacy, consent, and fairness standards.

The role supports product discovery and development from research and requirements through delivery and launch. You will translate research and analytics into epics, user stories, and acceptance criteria; manage backlog grooming and sprint execution; coordinate with data scientists and engineers across model design, training, evaluation, deployment, and monitoring; and contribute requirements and metrics for API- and event-driven cloud products. You will also work with channel and interface teams on assistant memory and context, service levels, contracts, and guardrails for safe and reliable customer experiences.

Requirements

• 5+ years of experience or equivalent expertise in product management or a relevant domain area.
• Proficient knowledge of the product development life cycle.
• Experience with product life cycle activities, including discovery and requirements definition.
• Working knowledge of data analytics and data literacy; familiarity with AWS data lakes, Snowflake, and modern data platforms.
• Experience delivering customer-facing artificial intelligence products with data science and engineering teams across the model lifecycle.
• Experience building data products for agentic assistants involving memory, context, and signals, and integrating with channel experience teams.
• Experience delivering personalization and next-best-action for marketing or servicing using experiments and outcome measurement.
• Experience executing core product practices, including discovery, requirements, and backlog management in Jira.
• Ability to use research and metrics to drive roadmaps and deliver to time, cost, and quality targets.
• Ability to collaborate and influence across product, design, engineering, and business stakeholders.
• Ability to understand and query datasets for analysis or requirements gathering, for example using SQL or Python.

Nice To Haves

• Experience supporting personalization and decisioning products, such as recommendations or next-best-action, with hands-on experiment design and measurement.
• Familiarity with agentic assistant patterns involving memory, context, and signals, and with data products enabling multichannel customer experiences.
• Working knowledge of API-first, event-driven architectures on cloud platforms and production monitoring fundamentals.
• Understanding of responsible data and model practices, including privacy, consent, and fairness, in regulated environments.
• Exposure to machine learning or data science concepts.
• Experience with Tableau, Grafana, or similar tools for documentation and data visualization.

Responsibilities

• Partner with the Product Manager to identify product opportunities that reflect customer and market needs through research and discovery.
• Consider upstream and downstream implications of new features for the overall product experience.
• Support user research, journey mapping, and market analysis to inform the strategic product roadmap and identify valuable product features.
• Analyze, track, and evaluate product metrics, including performance against time, cost, and quality targets throughout the product development life cycle.
• Write product requirements, epics, and user stories to support development.
• Partner with Channel/Interface teams to define the use of assistant memory and context and align on contracts, service levels, and guardrails for safe, reliable experiences.
• Help frame hypotheses, document use cases, and support experiment design and impact measurement for machine learning–powered personalization and next-best-action initiatives.
• Translate research and analytics into epics, user stories, and acceptance criteria, and manage backlog grooming and sprint execution from discovery through launch.
• Coordinate with data scientists and engineers across design, training, evaluation, deployment, and monitoring to clarify requirements and meet delivery milestones.
• Capture requirements for context and signals in an API- and event-driven cloud approach, and track engagement, quality, and outcome metrics.
• Follow responsible data practices with risk, privacy, and compliance partners, including consent and fairness, and support documentation and continuous improvement of team practices.

Benefits

• Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed