Vice President, Data Products & Personalization

JPMorgan Chase & Co. • New York, NY

4d • $133,000 - $215,000

About The Position

As a Product Manager in Personalization, this role leads the development and integration of data products that power personalized customer experiences. The position oversees complex integrations across platforms, source systems, APIs, and downstream applications, translating customer and business needs into scalable product capabilities. These integrations move personalization data through enterprise data services, APIs, and events to Chase digital experiences, including personal financial management, and AI agents serving customers.

The role brings structure and direction to interconnected data workstreams and partners with engineering, data, platform, architecture, and product teams to establish priorities, manage dependencies, and drive execution. It combines technical understanding of data products, APIs, and systems integration with the ability to communicate product vision and customer value. The position helps make data and customer information available as reusable capabilities across products, platforms, and emerging AI-enabled experiences, while contributing to broader product strategy in a complex and evolving organization.

Requirements

• At least 5 years of experience or equivalent expertise in product management, data products, technical product management, platform products, or a relevant domain.
• Demonstrated experience managing data products, system integrations, APIs, or platform capabilities.
• Advanced understanding of the product development life cycle, including discovery, ideation, requirements definition, roadmap development, prioritization, delivery, and value management.
• Proven ability to lead complex, cross-functional initiatives spanning multiple technical teams, products, platforms, or data sources.
• Strong technical fluency with APIs, event streaming such as Kafka, and integration patterns across real-time and batch systems; ability to read an API specification or event schema and trace data from source to consumer.
• Ability to translate complex technical concepts into clear product strategy, customer value, and business outcomes.
• Ability to operate at both strategic and execution levels, moving between detailed technical discussions and broader product objectives.
• Strong intellectual curiosity and learning agility, including willingness to ask questions, develop domain expertise, expand technical understanding, and challenge assumptions.
• Strong communication and stakeholder-management skills, with ability to influence product, engineering, data, and business organizations.

Nice To Haves

• Experience developing data products or platform capabilities that enable personalization, customer intelligence, or AI-enabled experiences.
• Experience with reusable data services, customer data platforms, registries, metadata, or other capabilities designed to make information discoverable and consumable across products.
• Understanding of how high-quality, integrated customer data can enable personalization beyond isolated or raw data points.
• Demonstrated experience working in a highly matrixed, complex organization with multiple product and technology stakeholders.
• Demonstrated ability to combine technical depth with strategic thinking and clearly articulate the rationale behind a product or integration.

Responsibilities

• Shape the integration strategy and translate the broader personalization vision into a roadmap and delivery plan that delivers measurable customer value.
• Lead end-to-end product management for complex data integrations across platforms, source systems, APIs, and downstream consumers.
• Partner with engineering, data, architecture, platform, and product teams to define integration requirements and agree on data contracts, including schemas, keys, freshness, latency, and ownership.
• Own, maintain, and develop the product backlog and roadmap, translating strategic objectives into actionable capabilities and integration workstreams.
• Bring structure and accountability to interconnected data workstreams, proactively identifying risks, gaps, dependencies, and opportunities.
• Define how data capabilities can be accessible and reusable across products, including personalized experiences and AI-enabled use cases.
• Drive product discovery to understand customer, business, and technology needs and translate insights into scalable product solutions.
• Communicate technical details and the broader strategic value of data products to stakeholders.
• Build frameworks and track product success metrics, including adoption, reliability, scalability, risk, functionality, and customer value.
• Champion resilient, scalable, and well-integrated solutions while navigating a highly matrixed organization.
• Own delivery of key integrations from requirements through production, including schema sign-off, integration testing, and launch readiness.

Benefits

• Competitive total rewards package, including base salary based on 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: Executive
• Education Level: No Education Listed