Product Manager [Multiple Positions Available]

JPMorgan Chase & Co.•Jersey City, NJ

3d•Onsite

About The Position

Oversee the product strategy, vision, and roadmap for enterprise data products supporting transaction intelligence use cases. Serve as the product and data owner for governed transaction data products, translating business priorities, regulatory requirements, and analytical needs into product specifications and delivery plans. Define product success metrics, adoption indicators, and business outcomes to ensure data products improve productivity, decision quality, and regulatory confidence. Lead cross-functional execution by coordinating with engineering, architecture, data management, risk, compliance, and platform teams to deliver scalable and reusable data products aligned to enterprise standards. Establish operating models for data products, including intake prioritization, roadmap governance, release planning, and stakeholder alignment across multiple lines of business. Drive and manage the product backlog and develop strategies to consolidate fragmented data sources into consumable data products focused on usability, trust, and reusability. Define data product structures, including schemas, metadata, access patterns, and documentation that support self-service analytics and AI use. Collaborate with data governance, legal, and risk teams to ensure data products meet regulatory, audit, and compliance requirements by embedding controls and quality expectations into product definitions. Enable enterprise adoption through onboarding, documentation, training, and feedback mechanisms for analysts, data scientists, and business users. Evolve data products using usage insights, stakeholder feedback, and performance metrics to drive iterative improvement and prioritization.

Requirements

Master's degree in Information Systems, Electronic Engineering, Computer Science, Data Science, or related field of study plus five (5) years of experience in the job offered or as Product Manager, Data Domain Architect, Data Engineer, or related occupation.
Bachelor's degree in Information Systems, Electronic Engineering, Computer Science, Data Science, or related field of study plus seven (7) years of experience in the job offered or as Product Manager, Data Domain Architect, Data Engineer, or related occupation.
Four (4) years experience with Maintaining enterprise data product and data platform roadmaps using Confluence
Four (4) years experience with Aligning business objectives, regulatory needs, and analytics use cases into data product development strategies using Agile, Scrum, and Jira
Four (4) years experience with Driving the data product lifecycle to build minimum viable products and achieve product-market fit
Four (4) years experience with Managing trade-offs to deliver customer value using prioritization frameworks
Four (4) years experience with Driving product discovery and collaboration using white-boarding tools including Lucid
Four (4) years experience with Defining objective key results, key performance indicators, and adoption metrics for data products and platforms using Tableau
Four (4) years experience with Redefining data product models using data modeling concepts including canonical, semantic, and dimensional
Four (4) years experience with Applying data modeling tools including Erwin and Hackolade
Four (4) years experience with Translating business requirements into data product requirements and use cases by developing product requirement documents
Four (4) years experience with Building and maintaining iterations for data product prototypes using relational database tools including Snowflake
Four (4) years experience with Building data product features by performing data exploration, validation, and data analysis using SQL and Python
Four (4) years experience with Building and maintaining business and technical metadata for data products using open data standards including DCAT
Four (4) years experience with Testing data product quality in development and production environments using cloud-based tools including AWS
Four (4) years experience with Maintaining versioning across all product artifacts using GitHub
Four (4) years experience with Building data contracts that translate regulatory requirements into standardized protocols for quality, lineage, and access control.

Responsibilities

Oversee the product strategy, vision, and roadmap for enterprise data products supporting transaction intelligence use cases.
Serve as the product and data owner for governed transaction data products, translating business priorities, regulatory requirements, and analytical needs into product specifications and delivery plans.
Define product success metrics, adoption indicators, and business outcomes to ensure data products improve productivity, decision quality, and regulatory confidence.
Lead cross-functional execution by coordinating with engineering, architecture, data management, risk, compliance, and platform teams to deliver scalable and reusable data products aligned to enterprise standards.
Establish operating models for data products, including intake prioritization, roadmap governance, release planning, and stakeholder alignment across multiple lines of business.
Drive and manage the product backlog and develop strategies to consolidate fragmented data sources into consumable data products focused on usability, trust, and reusability.
Define data product structures, including schemas, metadata, access patterns, and documentation that support self-service analytics and AI use.
Collaborate with data governance, legal, and risk teams to ensure data products meet regulatory, audit, and compliance requirements by embedding controls and quality expectations into product definitions.
Enable enterprise adoption through onboarding, documentation, training, and feedback mechanisms for analysts, data scientists, and business users.
Evolve data products using usage insights, stakeholder feedback, and performance metrics to drive iterative improvement and prioritization.