Data Product Manager Jobs
Data Product Manager jobs are open across fintech, healthtech, enterprise software, and e-commerce, from associate to principal and director level, with specializations in data platform strategy, analytics product development, and AI/ML product ownership. Find a role that fits from the openings below and apply directly.
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Showing 5 of 684+ Data Product Manager jobs
- Advises the Product Solutions teams on solutioning and adopting new and existing client-facing products and capabilities while crafting complex solutions and assessing risk to enhance the customer experience
- Leverages extensive knowledge of a cluster of products and capabilities to manage the strategic development of end-to-end product solution strategies and processes
- Partners with Sales to advise on strategic pricing for deals, contributes to the development of sales training and collateral, and oversees Request for Proposal (RFP) responses
- Manages the collection of client feedback and oversees the delivery of feedback to Product teams
- Drives the development of strategy and roadmaps for data governance initiatives, including next-generation data governance tooling and AI-for-data capabilities
- Collaborates with stakeholders, subject matter experts, and engineers to understand use cases, requirements, and dependencies, critically assessing proposed solutions.
- Communicates complex ideas effectively to collaborators and senior leaders using precise terminology and relatable examples
- Balances timeliness with quality under tight deadlines, managing multiple priorities and cross-functional partnerships.
- Ensures end-to-end relevance to stakeholder needs, from gathering business requirements and working with technology teams to achieve successful delivery
- Defines and refines customer-centric solution approaches that connect data governance capabilities to measurable business outcomes.
- Partners with business, technology, and control stakeholders to deploy solutions into production effectively and responsibly
- 8+ years of experience or equivalent expertise leading and developing solutions across multiple teams and a cluster of products
- Extensive experience facilitating sales cycle activities and developing and optimizing strategies and processes
- Demonstrable experience structuring and handling complex solutions for business problems to meet clients' needs
- Understanding and hands-on experience building agentic AI systems within regulated or compliance-driven environments
- 8+ years of experience developing enterprise-wide data, data governance, or AI strategy for large, complex organizations.
- 8+ years of experience either as a product manager, product designer, engineer, data analyst, data scientist, or user researcher
- Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
- Curious, hardworking, and detail-oriented, and motivated by complex analytical problems.
- Ability to collaborate effectively with stakeholders, subject matter experts, and engineers to translate needs into clear requirements
- Ability to balance quality and speed under tight deadlines while managing multiple priorities and partnerships.
- Ability to drive end-to-end delivery—from business requirements through implementation—ensuring outcomes meet stakeholder needs
- Direct experience with MCP (Model Context Protocol) designing tool schemas, building MCP servers, managing tool surface exposure, or integrating MCP into an agent platform
- Experience in regulated industries (financial services, healthcare, or government) with practical exposure to model risk management, audit trails, and compliance-driven engineering constraints.
- Familiarity with agent security concerns: prompt injection, tool misuse, over-privileged tool access, and blast radius containment strategies
- Experience building evaluation frameworks for LLM-based systems, including production-grade evaluation pipelines with structured outputs and regression tracking.
- Exposure to cloud-native AI infrastructure (managed model endpoints, model gateways, token/cost observability, and multi-tenant serving considerations)
- Experience contributing to developer-facing SDK or platform tooling (designing APIs, writing effective documentation, iterating based on adoption signals).
- Familiarity with responsible AI practices as they apply to agents, including human oversight requirements, escalation paths, intervention hooks, and auditability standards
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
- Advises the Product Solutions teams on solutioning and adopting new and existing client-facing products and capabilities while crafting complex solutions and assessing risk to enhance the customer experience
- Leverages extensive knowledge of a cluster of products and capabilities to manage the strategic development of end-to-end product solution strategies and processes
- Partners with Sales to advise on strategic pricing for deals, contributes to the development of sales training and collateral, and oversees Request for Proposal (RFP) responses
- Manages the collection of client feedback and oversees the delivery of feedback to Product teams
- Drives the development of strategy and roadmaps for data governance initiatives, including next-generation data governance tooling and AI-for-data capabilities
- Collaborates with stakeholders, subject matter experts, and engineers to understand use cases, requirements, and dependencies, critically assessing proposed solutions.
- Communicates complex ideas effectively to collaborators and senior leaders using precise terminology and relatable examples
- Balances timeliness with quality under tight deadlines, managing multiple priorities and cross-functional partnerships.
- Ensures end-to-end relevance to stakeholder needs, from gathering business requirements and working with technology teams to achieve successful delivery
- Defines and refines customer-centric solution approaches that connect data governance capabilities to measurable business outcomes.
- Partners with business, technology, and control stakeholders to deploy solutions into production effectively and responsibly
- 8+ years of experience or equivalent expertise leading and developing solutions across multiple teams and a cluster of products
- Extensive experience facilitating sales cycle activities and developing and optimizing strategies and processes
- Demonstrable experience structuring and handling complex solutions for business problems to meet clients' needs
- Understanding and hands-on experience building agentic AI systems within regulated or compliance-driven environments
- 8+ years of experience developing enterprise-wide data, data governance, or AI strategy for large, complex organizations.
- 8+ years of experience either as a product manager, product designer, engineer, data analyst, data scientist, or user researcher
- Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences
- Curious, hardworking, and detail-oriented, and motivated by complex analytical problems.
- Ability to collaborate effectively with stakeholders, subject matter experts, and engineers to translate needs into clear requirements
- Ability to balance quality and speed under tight deadlines while managing multiple priorities and partnerships.
- Ability to drive end-to-end delivery—from business requirements through implementation—ensuring outcomes meet stakeholder needs
- Direct experience with MCP (Model Context Protocol) designing tool schemas, building MCP servers, managing tool surface exposure, or integrating MCP into an agent platform
- Experience in regulated industries (financial services, healthcare, or government) with practical exposure to model risk management, audit trails, and compliance-driven engineering constraints.
- Familiarity with agent security concerns: prompt injection, tool misuse, over-privileged tool access, and blast radius containment strategies
- Experience building evaluation frameworks for LLM-based systems, including production-grade evaluation pipelines with structured outputs and regression tracking.
- Exposure to cloud-native AI infrastructure (managed model endpoints, model gateways, token/cost observability, and multi-tenant serving considerations)
- Experience contributing to developer-facing SDK or platform tooling (designing APIs, writing effective documentation, iterating based on adoption signals).
- Familiarity with responsible AI practices as they apply to agents, including human oversight requirements, escalation paths, intervention hooks, and auditability standards
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.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
ABOUT THE TEAM
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
Data Product Manager Jobs by Experience Level
Top Cities Hiring Data Product Managers
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Find Data Product Manager JobsData Product Manager Job Market
Who's Hiring
- Amazon35
- KALCON27K
- JPMorganChase27
- Capital One25
- Google22
Top Industries Hiring
- Technology & Software58
- Retail12
- Banking & Financial Services11
- E-Commerce & Online Marketplaces11
- Electronics & Hardware9
What Employers Look For
The qualifications that appear most often in data product manager jobs.
- 3 to 7 years of product management experience with a focus on data or analytics products
- Proficiency in SQL and familiarity with at least one cloud data warehouse such as Snowflake or BigQuery
- Experience translating business requirements into data models, schemas, or pipeline specifications
- Demonstrated ability to define and track success metrics for data products or self-serve analytics tools
- Bachelor's degree in a quantitative, technical, or business field, or equivalent practical experience
- Familiarity with data governance, privacy frameworks, or compliance requirements in a product context
Tips for Your Data Product Manager Job Search
Reframe your resume around data products
Generic product management bullets won't land here. Show data pipeline decisions you influenced, metrics frameworks you defined, or self-serve analytics products you shipped. Hiring managers for these roles scan for evidence you think in datasets, not just features.
Apply early to roles that fit
Migrate Mate lists data product manager openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Target postings that name your data stack
Filter openings by the tools you know best, whether that's dbt, Snowflake, Looker, or Databricks. Roles that list your exact stack expect fluency, not a learning curve, so matching on tooling dramatically improves your interview-to-offer rate.
Build a portfolio of data product decisions
Prepare two or three written case studies showing how you scoped a data product, resolved a schema or governance conflict, and measured adoption. Bring these to first-round interviews instead of waiting for a take-home assignment.
Prepare for the data literacy interview layer
Most panels include a technical screen where you'll be asked to walk through a data model, interpret a dashboard, or explain a metric inconsistency. Practice narrating your reasoning aloud, not just arriving at the right answer, because interviewers assess how you think.
Negotiate scope, not just compensation
Once you have an offer, ask whether the role owns the full data product roadmap or feeds a centralized analytics team. Scope determines your career trajectory far more than title does, and clarifying it now prevents a mismatch six months in.
Data Product Manager Jobs: Frequently Asked Questions
Which companies are hiring the most data product managers?
The companies hiring the most data product managers right now include Amazon, KALCON, and JPMorganChase, with the largest share of openings in California, New York, and Texas, based on current listings on Migrate Mate as of September 2026. Demand is concentrated in companies running large-scale data platforms, including fintech, healthcare technology, and cloud infrastructure businesses.
How many data product manager jobs are remote?
About 76% of data product manager openings are fully remote or hybrid as of September 2026, making it one of the more location-flexible roles in product management. Positions focused on internal data platform and analytics tooling tend to be the most remote-friendly, while roles tied to real-time or embedded data products often require closer on-site collaboration with engineering teams.
How do you become a data product manager?
Start in an adjacent role such as data analyst, business intelligence developer, or associate product manager, then actively take on work that crosses the boundary into product decisions, such as defining data models or setting adoption metrics. Build fluency in SQL and at least one cloud data warehouse. Document the data products you have influenced in a portfolio before applying, and target companies whose data maturity matches where you want to grow.
Can you get a data product manager job with little experience?
Yes, but you need to compensate for limited tenure with demonstrated data fluency and product thinking. Candidates who break in typically have a background in data analysis or engineering and can show a side project, internal tool, or open-source contribution that involved product decisions, not just queries. Applying to associate or junior data product manager titles, which exist at larger tech and fintech companies, is the most direct path in.
What does the data product manager interview process look like?
Most hiring processes run three to four rounds. A recruiter screen is followed by a hiring manager conversation focused on your experience with data products and stakeholder management. A technical panel then tests your ability to read a data model, interpret metrics, or scope a data product from a business requirement. Final rounds typically include a case study presentation or a cross-functional interview with data engineering, analytics, or a business stakeholder.
Where can I find and apply to data product manager jobs?
You can find and apply to data product manager jobs on Migrate Mate, which lists current openings from across the United States. Search the listings to find roles that match your experience and specialization, then apply directly to each one that fits.
See All 684+ Data Product Manager Jobs
Find roles that match your experience and apply in just a few clicks.
Find Data Product Manager Jobs