Personalization Product Senior Data Associate

JPMorgan Chase & Co.•New York, NY

8h•$99,750 - $155,000

About The Position

As a Senior Product Associate within the Personalization and Insights Team, you will support product development and optimization through user research, customer feedback, analytics, and collaboration with cross-functional teams. 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. The role translates research and analytics into product roadmaps and partners with data science, machine learning engineering, channel teams, and business stakeholders to prioritize opportunities, develop recommendation and next-best-action solutions, run experiments, and support scalable and reliable model lifecycle infrastructure while upholding privacy, consent, and fairness standards. The position supports customer-facing digital products and experiences at Chase, within Consumer & Community Banking and the Digital team. It involves product discovery, requirements and backlog management, cross-functional delivery, product metric tracking, and responsible use of customer data.

Requirements

At least 3 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 them with channel experience teams.
Experience delivering personalization and next-best-action capabilities for marketing or servicing using experiments and outcome measurement.
Ability to execute core product practices, including discovery, requirements definition, and backlog management in Jira.
Ability to use research and metrics to guide roadmaps and deliver against time, cost, and quality targets.
Ability to collaborate with and influence 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, including recommendations or next-best-action, with hands-on experiment design and measurement.
Familiarity with agentic assistant patterns such as memory, context, and signals, and data products enabling multi-channel customer experiences.
Working knowledge of API-first, event-driven cloud architectures 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 based on customer needs, market conditions, user research, and discovery.
Consider upstream and downstream effects of product features on the overall customer experience.
Support user research, journey mapping, and market analysis to inform the product roadmap and identify valuable product features.
Analyze, track, and evaluate product metrics, including delivery against time, cost, and quality targets throughout the product development life cycle.
Write product requirements, epics, and user stories.
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.
Support machine learning–powered personalization and next-best-action initiatives by framing hypotheses, documenting use cases, and assisting with experiment design and impact measurement.
Translate user research and analytics into epics, user stories, and acceptance criteria; manage backlog grooming and sprint execution from discovery through launch.
Coordinate with data scientists and engineers on 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.
Additional benefits and programs based on eligibility.