Data Product Owner Jobs
Data Product Owner jobs are open across fintech, healthtech, e-commerce, and enterprise software companies, at every level from associate to principal and director, with specializations in data platform ownership, analytics product management, and data governance. Scan the live roles below and apply to whichever ones fit.
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The Principal Product Manager, Clinical Data Analytics, will play a pivotal role in shaping Tendo’s data-driven solutions by translating clinical and financial-focused activities into actionable insights that support patients, providers, and health systems. This individual will help define product strategy and functional requirements for analytics offerings, leveraging deep expertise with healthcare coding systems (ICD-10, DRG, CPT) and payer/provider data workflows. Specifically, this role will help define data requirements and business logic to:
Measure provider-level clinical quality from claims data.
Analyze the relationship between quality, price, and market share for health procedures.
Identify missing comorbidities from EHR patient records.
This role requires a strong balance of technical acumen, healthcare domain knowledge, and product management experience. This person will work closely with engineering, clinical informatics, and customer-facing teams to deliver data solutions that improve decision-making, enhance operational efficiency, and support Tendo’s marketplace growth. Under Tendo’s AI-First R&D model, this role operates as a Product Engineer with domain strength, owning features end-to-end from discovery through release, with AI as the first author at every stage.
About Tendo
Make an impact—join our team!
We’re a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes’ Top Startup Employers for 2024, 2025, and 2026. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences.
If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today!
Job Location
Salt Lake City, UT
Tendo has hubs in San Francisco, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Tendo may consider candidates located in any one of our hub locations.
Responsibilities
Product Strategy & Roadmap: Help define the product vision, strategy, and roadmap for clinical data analytics, aligning with company priorities, customer needs, and market opportunities.
Healthcare Data Expertise: Serve as a subject matter expert on EHR, claims, pricing, payment, and healthcare coding data to ensure accurate, compliant, and valuable use of clinical and financial information in products.
Quality Measurement & Methodology: Define and maintain the business logic, measurement specifications, risk adjustment methodologies, scoring algorithms, and forecasting models that power Tendo’s quality analytics products, ensuring alignment with evolving CMS, commercial payer, and industry quality programs.
Clinical Analytics Leadership: Partner with quality measurement experts, clinical informatics, data science, and engineering teams to design methodologies that accurately measure provider performance, identify opportunities for quality improvement, and produce transparent and explainable analytics.
Customer Engagement: Collaborate with health systems, employers, payers, and other stakeholders to gather requirements, validate use cases, and ensure products deliver measurable value.
Execution & Delivery: Own assigned features end-to-end, from opportunity statement through specification, design input, build, documentation, and release, advancing work through the four PLA gate reviews with no handoffs between stages.
Analytics & Insights: Partner with data science and engineering to build tools that surface actionable insights for users, ensuring outputs are accurate, meaningful, accessible, and aligned with defined methodologies.
Market & Internal Collaboration: Monitor industry trends, competitive offerings, and regulatory developments to inform product direction, and work closely with Sales, Customer Engagement, and Operations to support go-to-market, adoption, and customer satisfaction.
AI-Directed Delivery & Knowledge Sharing: Use AI as the first author for specifications, acceptance criteria, documentation, and analysis; critically evaluate and refine AI-generated output, and contribute prompt patterns, quality examples, and design and decision standards to the shared team library.
Requirements
Bachelor’s degree in Healthcare Administration, Computer Science, Data Science, Health Informatics, or a related field, or equivalent professional experience.
7+ years of product management experience in healthcare technology, healthcare analytics, data products, or a related field.
Deep expertise in U.S. healthcare quality measurement and performance frameworks, including nationally recognized programs such as CMS Star Ratings, Hospital Compare/Overall Hospital Quality Star Ratings, U.S. News Best Hospitals, Leapfrog Hospital Safety Grade, HEDIS, MIPS, ACO quality measures, and other value-based care models.
Demonstrated expertise in healthcare quality measurement science, including measure development, risk adjustment, provider attribution, benchmarking, statistical validation, and quality reporting. Ability to critically evaluate published quality methodologies and translate them into production-grade product functionality.
Experience translating complex clinical and quality measurement methodologies into product requirements, business rules, data models, and analytics solutions, partnering with engineering and data science teams to deliver scalable healthcare products.
Ability to translate complex quality measurement methodologies into scalable product requirements, analytics, AI-driven insights, and decision-support capabilities for healthcare organizations.
Strong working knowledge of healthcare coding systems, including ICD-10, DRG, and CPT, as well as claims, payment, and payer/provider data workflows.
Experience working with healthcare data standards and interoperability technologies, including HL7, FHIR, EHR data models, provider directories, and clinical terminology standards such as LOINC, SNOMED CT, and RxNorm, strongly preferred.
Experience working with large, complex healthcare datasets and translating data into meaningful products, insights, or analytics.
Working familiarity with SQL, Python, relational data concepts, or similar technical tools and concepts.
Demonstrated ability to define product strategy, requirements, business logic, and roadmaps for complex data-driven products.
Strong communication, stakeholder management, and problem-solving skills, with the ability to work effectively across technical, clinical, and business teams.
Demonstrated ability to own product initiatives from discovery through delivery and post-release learning.
Demonstrated fluency with AI tools as a first author, with the ability to direct, evaluate, and refine AI-generated product specifications, documentation, and analysis using strong independent judgment.
Nice to Have
Advanced degree (MBA, MPH, MS in Health Informatics, MS in Data Science, or related field).
Experience with SaaS platforms, digital health solutions, or healthcare marketplaces.
Experience developing products that support provider quality reporting, value-based care, population health, care management, or healthcare transparency initiatives.
Experience with CMS quality programs, HRRP, HCC, Leapfrog, U.S. News, commercial quality scorecards, or other healthcare performance measurement frameworks.
Experience applying predictive analytics or machine learning to healthcare quality measurement, risk prediction, or forecasting.
Familiarity with Medicare, Medicaid, and commercial claims data structures and reimbursement methodologies.
Familiarity with payer, provider, and employer data integration and reporting needs.
Understanding of value-based care, reimbursement models, and healthcare economics.
Experience working with EHR systems and clinical informatics teams in a product capacity.
Base Salary Range
$131,750 - $178,250
This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits.
Benefits
For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program (“Breathe”).
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
The Principal Product Manager, Clinical Data Analytics, will play a pivotal role in shaping Tendo’s data-driven solutions by translating clinical and financial-focused activities into actionable insights that support patients, providers, and health systems. This individual will help define product strategy and functional requirements for analytics offerings, leveraging deep expertise with healthcare coding systems (ICD-10, DRG, CPT) and payer/provider data workflows. Specifically, this role will help define data requirements and business logic to:
Measure provider-level clinical quality from claims data.
Analyze the relationship between quality, price, and market share for health procedures.
Identify missing comorbidities from EHR patient records.
This role requires a strong balance of technical acumen, healthcare domain knowledge, and product management experience. This person will work closely with engineering, clinical informatics, and customer-facing teams to deliver data solutions that improve decision-making, enhance operational efficiency, and support Tendo’s marketplace growth. Under Tendo’s AI-First R&D model, this role operates as a Product Engineer with domain strength, owning features end-to-end from discovery through release, with AI as the first author at every stage.
About Tendo
Make an impact—join our team!
We’re a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes’ Top Startup Employers for 2024, 2025, and 2026. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences.
If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today!
Job Location
Salt Lake City, UT
Tendo has hubs in San Francisco, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Tendo may consider candidates located in any one of our hub locations.
Responsibilities
Product Strategy & Roadmap: Help define the product vision, strategy, and roadmap for clinical data analytics, aligning with company priorities, customer needs, and market opportunities.
Healthcare Data Expertise: Serve as a subject matter expert on EHR, claims, pricing, payment, and healthcare coding data to ensure accurate, compliant, and valuable use of clinical and financial information in products.
Quality Measurement & Methodology: Define and maintain the business logic, measurement specifications, risk adjustment methodologies, scoring algorithms, and forecasting models that power Tendo’s quality analytics products, ensuring alignment with evolving CMS, commercial payer, and industry quality programs.
Clinical Analytics Leadership: Partner with quality measurement experts, clinical informatics, data science, and engineering teams to design methodologies that accurately measure provider performance, identify opportunities for quality improvement, and produce transparent and explainable analytics.
Customer Engagement: Collaborate with health systems, employers, payers, and other stakeholders to gather requirements, validate use cases, and ensure products deliver measurable value.
Execution & Delivery: Own assigned features end-to-end, from opportunity statement through specification, design input, build, documentation, and release, advancing work through the four PLA gate reviews with no handoffs between stages.
Analytics & Insights: Partner with data science and engineering to build tools that surface actionable insights for users, ensuring outputs are accurate, meaningful, accessible, and aligned with defined methodologies.
Market & Internal Collaboration: Monitor industry trends, competitive offerings, and regulatory developments to inform product direction, and work closely with Sales, Customer Engagement, and Operations to support go-to-market, adoption, and customer satisfaction.
AI-Directed Delivery & Knowledge Sharing: Use AI as the first author for specifications, acceptance criteria, documentation, and analysis; critically evaluate and refine AI-generated output, and contribute prompt patterns, quality examples, and design and decision standards to the shared team library.
Requirements
Bachelor’s degree in Healthcare Administration, Computer Science, Data Science, Health Informatics, or a related field, or equivalent professional experience.
7+ years of product management experience in healthcare technology, healthcare analytics, data products, or a related field.
Deep expertise in U.S. healthcare quality measurement and performance frameworks, including nationally recognized programs such as CMS Star Ratings, Hospital Compare/Overall Hospital Quality Star Ratings, U.S. News Best Hospitals, Leapfrog Hospital Safety Grade, HEDIS, MIPS, ACO quality measures, and other value-based care models.
Demonstrated expertise in healthcare quality measurement science, including measure development, risk adjustment, provider attribution, benchmarking, statistical validation, and quality reporting. Ability to critically evaluate published quality methodologies and translate them into production-grade product functionality.
Experience translating complex clinical and quality measurement methodologies into product requirements, business rules, data models, and analytics solutions, partnering with engineering and data science teams to deliver scalable healthcare products.
Ability to translate complex quality measurement methodologies into scalable product requirements, analytics, AI-driven insights, and decision-support capabilities for healthcare organizations.
Strong working knowledge of healthcare coding systems, including ICD-10, DRG, and CPT, as well as claims, payment, and payer/provider data workflows.
Experience working with healthcare data standards and interoperability technologies, including HL7, FHIR, EHR data models, provider directories, and clinical terminology standards such as LOINC, SNOMED CT, and RxNorm, strongly preferred.
Experience working with large, complex healthcare datasets and translating data into meaningful products, insights, or analytics.
Working familiarity with SQL, Python, relational data concepts, or similar technical tools and concepts.
Demonstrated ability to define product strategy, requirements, business logic, and roadmaps for complex data-driven products.
Strong communication, stakeholder management, and problem-solving skills, with the ability to work effectively across technical, clinical, and business teams.
Demonstrated ability to own product initiatives from discovery through delivery and post-release learning.
Demonstrated fluency with AI tools as a first author, with the ability to direct, evaluate, and refine AI-generated product specifications, documentation, and analysis using strong independent judgment.
Nice to Have
Advanced degree (MBA, MPH, MS in Health Informatics, MS in Data Science, or related field).
Experience with SaaS platforms, digital health solutions, or healthcare marketplaces.
Experience developing products that support provider quality reporting, value-based care, population health, care management, or healthcare transparency initiatives.
Experience with CMS quality programs, HRRP, HCC, Leapfrog, U.S. News, commercial quality scorecards, or other healthcare performance measurement frameworks.
Experience applying predictive analytics or machine learning to healthcare quality measurement, risk prediction, or forecasting.
Familiarity with Medicare, Medicaid, and commercial claims data structures and reimbursement methodologies.
Familiarity with payer, provider, and employer data integration and reporting needs.
Understanding of value-based care, reimbursement models, and healthcare economics.
Experience working with EHR systems and clinical informatics teams in a product capacity.
Base Salary Range
$131,750 - $178,250
This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits.
Benefits
For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program (“Breathe”).
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Data Product Owner Jobs by Experience Level
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Find Data Product Owner JobsData Product Owner Job Market
Who's Hiring
- JPMorganChase47
- Capital One32
- Amazon29
- Information Technology Senior Management Forum25
- Meta23
Top Industries Hiring
- Technology & Software36
- Banking & Financial Services7
- Investment & Asset Management6
- Consulting & Professional Services6
- Electronics & Hardware4
What Employers Look For
The qualifications that appear most often in data product owner jobs.
- 3-7 years of product management or data product ownership experience
- Proficiency with SQL and familiarity with data modeling concepts
- Experience writing product requirements for data pipelines or data platforms
- Ability to define and track data quality metrics and KPIs
- Familiarity with modern data stack tools such as dbt, Snowflake, or Databricks
- Bachelor's degree in a technical, analytical, or business-related field
Tips for Your Data Product Owner Job Search
Quantify your data product impact clearly
Hiring managers for data product owner roles want to see outcomes, not ownership. Rewrite each bullet on your resume to show what changed after you shipped a data product: query time reduced, decision latency cut, analyst hours saved. Vague ownership statements get filtered out fast.
Show your data roadmap thinking
Many candidates list tools but skip the strategy layer. Add a brief section or summary line that describes how you have prioritized a data product backlog, resolved competing stakeholder requests, or made build-versus-buy decisions. That framing separates product owners from project managers in recruiters' eyes.
Apply early to roles that fit
Migrate Mate lists data product owner openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter for roles that name your data domain
Data product owner postings vary widely by domain: some focus on customer data platforms, others on ML feature stores or financial reporting pipelines. Search by domain keyword alongside the title so you target roles where your specific data experience is a direct match, not a stretch.
Prep for the stakeholder alignment interview
Interviewers for data product owner roles almost always run a scenario question about conflicting stakeholder priorities, usually a data science team versus a business intelligence team. Practice a specific example where you facilitated that tradeoff and explain the criteria you used to decide.
Negotiate scope alongside compensation
Data product owner roles differ significantly in what you actually own: some include data infrastructure decisions, others are scoped to documentation and intake. Before accepting an offer, clarify whether you control the roadmap, have headcount, and own the production data contracts. Scope mismatches are the most common reason people leave these roles quickly.
Data Product Owner Jobs: Frequently Asked Questions
Which companies are hiring the most data product owners?
JPMorganChase, Capital One, and Amazon are hiring the most data product owners right now, with openings concentrated in California, New York, and Texas, based on current listings on Migrate Mate as of November 2026. Financial services, healthcare technology, and large enterprise software companies consistently post the highest volume of these roles.
How many data product owner jobs are remote?
About 82% of data product owner openings are fully remote or hybrid as of November 2026, reflecting strong demand for distributed data teams. Roles focused on data platform strategy, data governance, and analytics enablement tend to be the most remote-friendly, while positions tied closely to embedded engineering teams often require more in-office presence.
How do you become a data product owner?
Start by building hands-on experience with data systems, either as a data analyst, analytics engineer, or business intelligence developer, so you understand the technical constraints your stakeholders and engineers face. Then take on product ownership work incrementally: write requirements for a data initiative, run a backlog, and own a data product end to end. Formal product management training or a certification in agile product management can help frame that experience for hiring managers.
Can you get a data product owner job without direct experience?
Yes, candidates transition into data product owner roles most successfully from data analyst, business analyst, or analytics engineering backgrounds, where they already work closely with stakeholders and data systems. To bridge the gap, document any work where you defined requirements, prioritized requests, or drove a data project from intake to delivery. Smaller companies and startups are more likely to hire for potential in this role than large enterprises with established data product teams.
What does the data product owner interview process look like?
Most data product owner interview processes include a recruiter screen, a hiring manager conversation focused on your product thinking and data background, and a panel round with cross-functional stakeholders such as data engineers, analysts, and business leaders. Expect at least one case or take-home exercise asking you to prioritize a data backlog or write requirements for a data product. Final rounds often include a presentation to a senior data or product leader.
Where can I find and apply to data product owner jobs?
You can find and apply to data product owner jobs on Migrate Mate, which lists current openings from across the United States. Search for roles that match your domain experience and seniority level, then apply directly to each listing that fits your background and goals.
See All 766+ Data Product Owner Jobs
Find roles that match your experience and apply in just a few clicks.
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