Personalization Product Manager - Data Platform

Aumni; New York (NY); Hybrid; USD 140,000 - 205,000; Full time

Benefits offered by this job

Health care coverage

On-site health and wellness centers

Retirement savings plan

Backup childcare

Tuition reimbursement

Mental health support

Financial coaching

Job summary

Chase is seeking a Product Manager to lead ML-powered personalization and next-best-action initiatives across mobile, web, contact center, branch, and marketing. You will translate research into clear roadmaps, collaborate with data science and engineering, and prioritize opportunities to deliver scalable, secure experiences with privacy and fairness in mind.

You will drive experiments, establish success criteria, and ensure delivery milestones across discovery to launch, while aligning with

Qualifications

• 5+ years of experience in product management or a relevant domain area.
• Proficient knowledge of the product development life cycle.
• Experience in 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.
• Deliver customer-facing artificial intelligence products with data science and engineering teams across the model lifecycle.
• Build data products for agentic assistants (memory, context, signals) and integrate with channel experience teams.
• Deliver personalization and next-best-action for marketing/servicing using experiments and outcome measurement.
• Execute core product practices: discovery, requirements, and backlog management in Jira.
• Use research and metrics to drive roadmaps and deliver on time, cost, and quality.
• Collaborate and influence across product, design, engineering, and business stakeholders.
• Ability to understand and query data sets for analysis or requirements gathering (e.g., using SQL, Python)

Responsibilities

• Partners with the Product Manager to identify new product opportunities that reflect the needs of our customers and the market through user research and discovery.
• Considers and plans for upstream and downstream implications of new product features on the overall product experience.
• Supports the collection of user research, journey mapping, and market analysis to inform the strategic product roadmap and provide insight on potential product features that provide value to customers.
• Analyzes, tracks, and evaluates product metrics including work to time, cost, and quality targets across the product development life cycle.
• Writes the requirements, epics, and user stories to support product development.
• Partner with Channel/Interface teams to define how assistant memory and context are used, and help align on contracts, service levels, and guardrails for safe, reliable experiences.
• Support machine learning–powered personalization and next-best-action initiatives by helping frame hypotheses, document use cases, and assist with experiment design and impact measurement.
• Translate user research and analytics into epics, user stories, and acceptance criteria, and manage day-to-day backlog grooming and sprint execution across discovery through launch.
• Coordinate with data scientists and engineers across design, training, evaluation, deployment, and monitoring to ensure requirements are clear and delivery milestones are met.
• Contribute to an application programming interface– and event-driven cloud approach by capturing requirements for context/signals and tracking product metrics (engagement, quality, outcomes).
• Follow responsible data practices with risk, privacy, and compliance partners (consent, fairness), and support team ways of working through documentation and continuous improvement.

Skills

Product management

Data analytics

SQL

Python

AWS/Snowflake

Jira

Tableau

Grafana

Tools

Jira

Grafana

Tableau

AWS

Snowflake

Job description

Unleash your expertise in product development and optimization by leveraging user research, analyzing metrics, and collaborating across one of the world’s most innovative financial organizations.

As a Product Manager within the Personalization and Insights Team, you contribute to the team by leveraging your expertise in product development and optimization to make a significant impact, supported by user research and customer feedback to fuel the creation of innovative products and continuously improve existing offerings. Collaborate closely with cross-functional teams and play a crucial role in shaping the future of our products and ongoing success.

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. You will translate research and analytics into clear roadmaps, partner with data science, machine learning engineering, channel teams, and business stakeholders to prioritize opportunities, design and iterate recommendation, next-best-action, and agentic solutions, run experiments to validate impact, and operationalize scalable, reliable model lifecycle infrastructure—while upholding privacy, consent, and fairness standards.

Job responsibilities

• Partners with the Product Manager to identify new product opportunities that reflect the needs of our customers and the market through user research and discovery.
• Considers and plans for upstream and downstream implications of new product features on the overall product experience.
• Supports the collection of user research, journey mapping, and market analysis to inform the strategic product roadmap and provide insight on potential product features that provide value to customers.
• Analyzes, tracks, and evaluates product metrics including work to time, cost, and quality targets across the product development life cycle.
• Writes the requirements, epics, and user stories to support product development.
• Partner with Channel/Interface teams to define how assistant memory and context are used, and help align on contracts, service levels, and guardrails for safe, reliable experiences.
• Support machine learning–powered personalization and next-best-action initiatives by helping frame hypotheses, document use cases, and assist with experiment design and impact measurement.
• Translate user research and analytics into epics, user stories, and acceptance criteria, and manage day-to-day backlog grooming and sprint execution across discovery through launch.
• Coordinate with data scientists and engineers across design, training, evaluation, deployment, and monitoring to ensure requirements are clear and delivery milestones are met.
• Contribute to an application programming interface– and event-driven cloud approach by capturing requirements for context/signals and tracking product metrics (engagement, quality, outcomes).
• Follow responsible data practices with risk, privacy, and compliance partners (consent, fairness), and support team ways of working through documentation and continuous improvement.

Required qualifications, capabilities, and skills

• 5+ years of experience or equivalent expertise in product management or a relevant domain area.
• Proficient knowledge of the product development life cycle.
• Experience in 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.
• Deliver customer-facing artificial intelligence products with data science and engineering teams across the model lifecycle.
• Build data products for agentic assistants (memory, context, signals) and integrate with channel experience teams.
• Deliver personalization and next-best-action for marketing/servicing using experiments and outcome measurement.
• Execute core product practices: discovery, requirements, and backlog management in Jira.
• Use research and metrics to drive roadmaps and deliver on time, cost, and quality.
• Collaborate and influence across product, design, engineering, and business stakeholders.
• Ability to understand and query data sets for analysis or requirements gathering (e.g., using SQL, Python)

Preferred qualifications, capabilities, and skills

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

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most‑used digital solutions – all while ranking first in customer satisfaction.

The Digital team is dedicated to creating innovative, industry‑leading products and experiences that help customers access, share and control their financial data so they can make smart decisions with their money. Teams enable innovation while adhering to the firm’s data sharing principles of security, customer control and convenience, and privacy.

Contribute to the team by leveraging your expertise in product development and optimization