Data Product Manager

JPMorgan Chase; Jersey City (NJ); On-site; USD 130,000 - 180,000; Full time

Job summary

JPMorganChase in Jersey City seeks a Data Product Manager to shape data products that power enterprise decisions at scale. You will partner with stakeholders across business and technology to translate needs into measurable roadmaps and metrics.

You will collaborate with data engineering and governance teams to deliver curated datasets, define KPI logic, and drive data quality and adoption across the enterprise.

Qualifications

• Formal training or certification on product engineering concepts and 5+ years applied experience.
• Experience in data product management, analytics product management, or data platforms in a complex enterprise.
• Ability to gather requirements from stakeholders and translate into roadmaps/backlogs.
• Experience analysing workflows and defining KPIs and metrics for decisioning and ops.
• Experience with data governance in a multi-domain enterprise: lineage, metadata, quality, change control.
• Strong cross-functional collaboration with engineering, product, operations and governance partners.
• Strong written and verbal communication tailored to diverse audiences.

Responsibilities

• Partner with business stakeholders to translate workflow goals into product requirements and user stories.
• Analyze end-to-end workflows to identify automation, standardization, and data-driven decisions; define success metrics.
• Define data domain concepts and metrics required to support priority workflows; document definitions for reuse.
• Collaborate with data engineering and platform teams to deliver curated datasets and governed metrics.
• Apply data governance practices including ownership, lineage, data quality, and change control.
• Drive product adoption through training, documentation, and office hours; embed analytics into operating rhythms.
• Manage product lifecycle: backlog, prioritization, releases, and deprecation; align with risk and control.
• Communicate metrics and analytics clearly to audiences and channels.

Skills

Data product management

Cross-functional collaboration

Stakeholder requirements

KPIs & metrics definition

Verbal & written communication

Education

Formal training or certification in product engineering

Job description

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.

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.