Data Product Manager

Lead creation of scalable data products that streamline employee workflows and enable informed decisions across diverse internal teams.

Data Product Manager Shape the future of data products that power enterprise decisions at scale. Job Description JPMorganChase is one of the world's leading financial services firms, and our data and analytics capabilities are central to how we operate, innovate, and serve our clients and employees. Joining our team means working at the intersection of technology, data, and business strategy — where your work directly influences how decisions are made across the firm. As a Data Product Manager at JPMorganChase within Employee Platforms, you will lead the discovery, design, and delivery of data products that enable smarter workflows, better decisions, and measurable operational outcomes. You will serve as the connective tissue between business stakeholders, data engineering, and governance teams — translating complex workflow needs into governed, reusable data assets. This is a high-impact role for someone who thrives in ambiguity, brings structure to complexity, and is passionate about building data products that people actually use. Job responsibilities Partner with business stakeholders to understand workflow goals, pain points, decision points, and operational constraints; translate needs into clear product requirements and user stories Analyze stakeholder workflows end-to-end — including process steps, handoffs, decision points, exceptions, and control touchpoints — to identify opportunities for automation, standardization, and data-driven decision making; define key performance indicators and success measures Define data domain concepts (entities, events, and measures) required to support priority workflows; document business definitions and metric logic to enable reuse and consistency across teams Collaborate with data engineering and platform teams to deliver curated datasets and governed metrics layers, including documentation, data quality expectations, lineage and metadata inputs, and access patterns Apply and reinforce data governance practices across a multi-domain enterprise, including definition alignment, ownership and stewardship support, data quality management, metadata documentation, and change control; escalate issues and drive resolution through appropriate forums Drive product adoption through enablement activities such as training, documentation, and office hours; embed analytics into operating rhythms and track usage and outcomes Manage product lifecycle processes including backlog management, prioritization, releases, and deprecation; support operating model execution aligned with risk and control expectations Ensure communications about metrics, reporting, and analytics are accurate, clear, and appropriate for intended audiences and channels Required qualifications, capabilities, and skills Formal training or certification on product engineering concepts and 5+ years applied experience Demonstrated experience in data product management, analytics product management, or product management for data and analytics platforms in a complex enterprise environment Proven ability to gather requirements from stakeholders and translate them into deliverable roadmaps, backlogs, and measurable outcomes Experience analyzing workflows and defining key performance indicators and metrics that support decisioning and operational improvement Experience working within data governance frameworks in a multi-domain enterprise, including definitions, ownership and stewardship, lineage and metadata, data quality, and change control Strong cross-functional collaboration skills with engineering, product, operations, and governance and control partners Strong written and verbal communication skills with the ability to tailor messaging for diverse audiences Preferred qualifications, capabilities, and skills Experience with human resources, employee platforms, or internal enterprise platforms supporting large-scale employee workflows Familiarity with modern data architectures such as warehouse and lakehouse patterns, semantic and metrics layers, and business intelligence enablement patterns Experience supporting controlled reporting and data quality frameworks in regulated environments Exposure to privacy-by-design principles and responsible data handling practices in environments involving personal information JPMorganChase is committed to providing equal opportunity and fair treatment in employment and does not tolerate unlawful discrimination or harassment.