Senior Associate Personalization Product

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: New York, NY
Posted: 3 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $184k

$142k most similar roles pay here $231k

This listing doesn't post a salary. Most similar roles pay $151,912–$216,000.

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 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 · Senior Associate Personalization Product

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As a Personalization - Product, Senior Associate within the Personalization and Insights Team, you will lead the strategy and execution of machine learning-powered personalization and next-best-action capabilities across mobile, web, contact center, branch, and marketing channels. You will translate user research and analytics into clear roadmaps, manage backlogs in Jira, and write requirements, epics, and user stories to guide product development. Your daily work involves collaborating with data science and engineering teams to design and iterate on recommendation systems and agentic solutions while ensuring privacy and fairness standards. You will utilize SQL, Python, Snowflake, AWS data lakes, and tools like Tableau or Grafana to analyze metrics and manage the model lifecycle. The role focuses on building intelligent products that provide personalized customer experiences through advanced data-driven decisioning and multi-channel integration.

Skills

Machine Learning Data Science SQL Python AWS Snowflake Jira Tableau Grafana Event-Driven Architecture User Research Data Analytics

What you'll do

Lead the strategy and execution of machine learning-powered personalization and next-best-action capabilities across multiple customer channels.
Translate user research and analytics into clear product roadmaps, epics, and detailed user stories.
Manage day-to-day backlog grooming and sprint execution from initial discovery through final launch.
Partner with data science and engineering teams to design, train, evaluate, and monitor machine learning models.
Design and run experiments to validate the impact of recommendation engines and agentic solutions.
Define technical requirements for assistant memory, context, and signal integration within an API-driven cloud architecture.
Ensure all products comply with privacy, consent, and fairness standards in a regulated environment.
Track and evaluate product metrics including engagement, quality, cost, and time to meet development targets.

What we're looking for

At least 3 years of experience in product management or a relevant domain area.
Proficient knowledge of the product development life cycle including discovery and requirements definition.
Ability to deliver customer-facing artificial intelligence products with data science and engineering teams.
Experience building data products for agentic assistants, including memory, context, and signals.
Capability to deliver personalization and next-best-action solutions using experiment design and outcome measurement.
Working knowledge of data analytics, data literacy, and modern platforms like AWS data lakes and Snowflake.
Ability to query data sets for analysis or requirements gathering using SQL or Python.
Proficiency in core product practices including backlog management in Jira.

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