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Data Product Owner Jobs (NOW HIRING)

Data Product Owner

Jersey City, NJ · On-site

$120 - $170/hr

Overview /Objective We are looking for a Data Product Owner with experience in building data products from the ground up. This role will be accountable for how data products are developed and ...

Data Product Owner Burbank, California(Hybrid) Phone and Video Long Term Looking to hire an experienced Data Product Owner to lead the effort to create datasets, reports, and webapps used by the ...

Data Product Owner

Buffalo, NY · On-site

$110K - $145K/yr

Data Product Owner Reporting To: Director of Data Management Work Schedule: Hybrid - Buffalo, NYMoog's IT Data Management Team is looking for a Data Product Owner to join them! In this role you will ...

JR2026-00028876 Data Product Owner (Open) Applications No Longer Accepted On (If no date is displayed, job is posted as open until closed): 09-01-2026 PLEASE NOTE: **The Nebraska Department of Health ...

Data Product Owner

Buffalo, NY · On-site

$110K - $145K/yr

Data Product Owner Reporting To: Director of Data Management Work Schedule: Hybrid - Buffalo, NY Moog's IT Data Management Team is looking for a Data Product Owner to join them! In this role you will ...

Data Product Owner

Buffalo, NY · On-site

$110K - $145K/yr

Data Product Owner Reporting To: Director of Data Management Work Schedule: Hybrid - Buffalo, NYMoog's IT Data Management Team is looking for a Data Product Owner to join them! In this role you will ...

Product Owner with Data Analytics Background "Bachelor's degree in Business, Computer Science, Information Systems, Data Analytics, Statistics, Engineering, or a related field. • 10+ years of ...

Data Product Owner

Lincoln, NE · On-site

$34.97/hr

JR2026-00028876 Data Product Owner (Open) Applications No Longer Accepted On (If no date is displayed, job is posted as open until closed): 09-01-2026 PLEASE NOTE: **The Nebraska Department of Health ...

The Data Product Owner is accountable for the full lifecycle of assigned data products, including intake, prioritization, requirements management, adoption, governance, and continuous improvement.

The Data Product Owner is accountable for the full lifecycle of assigned data products, including intake, prioritization, requirements management, adoption, governance, and continuous improvement.

NY · On-site

$100 - $115/hr

Summary The Data Product Owner role owns the end‑to‑end delivery of data as a product--partnering with customers and internal teams to define a market‑leading data offering, translate needs ...

$120 - $141/hr

The Data Product Owner is accountable for the full lifecycle of assigned data products, including intake, prioritization, requirements management, adoption, governance, and continuous improvement.

Bachelor's degree in related discipline * 2- 5 years of data analysis, product owner, and/or consulting experience regarding data,preferably financial services data * Familiarity with cloud and on ...

The Data Product Owner is accountable for the full lifecycle of assigned data products, including intake, prioritization, requirements management, adoption, governance, and continuous improvement.

The Data Product Owner is accountable for the full lifecycle of assigned data products, including intake, prioritization, requirements management, adoption, governance, and continuous improvement.

The Data Product Owner is accountable for the full lifecycle of assigned data products, including intake, prioritization, requirements management, adoption, governance, and continuous improvement.

The Data Product Owner is accountable for the full lifecycle of assigned data products, including intake, prioritization, requirements management, adoption, governance, and continuous improvement.

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Data Product Owner information

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$41.5K

$112.9K

$164.5K

How much do data product owner jobs pay per year?

As of Sep 1, 2026, the average yearly pay for data product owner in the United States is $112,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $129,500.00 per year, depending on experience, location, and employer.

What is a data product owner?

A Data Product Owner is responsible for managing data-driven products, ensuring they meet business needs and drive value. They bridge the gap between data teams and stakeholders, defining the vision, prioritizing requirements, and overseeing the product lifecycle. Their role involves collaborating with engineers, analysts, and business leaders to deliver insights, models, or platforms that support decision-making. They also ensure data governance, quality, and usability align with company objectives.

What are the typical daily responsibilities of a data product owner and how do they interact with other teams?

A Data Product Owner typically spends their day defining and prioritizing features in the data product backlog, translating business needs into technical requirements, and collaborating closely with data engineers, analysts, and stakeholders. They facilitate sprint planning, provide clear user stories, and make decisions on product direction based on evolving organizational goals. Regularly, they communicate progress, gather feedback from business users, and ensure that delivered data solutions meet quality and usability standards. The role requires frequent cross-functional collaboration, making it ideal for those who enjoy acting as a bridge between technical teams and business users.

What are the key skills and qualifications needed to thrive as a data product owner, and why are they important?

To thrive as a Data Product Owner, you need robust analytical skills, a background in product management or business analysis, and a strong understanding of data concepts, ideally backed by a relevant degree in computer science, statistics, or a related field. Familiarity with tools like Jira, Tableau, SQL, and experience with Agile methodologies or a certification such as Certified Scrum Product Owner (CSPO) are often expected. Exceptional communication, stakeholder management, and strategic thinking are key soft skills that set top performers apart. These competencies are critical for bridging the gap between technical data teams and business objectives, ensuring data products deliver real organizational value.

How much does a data product owner get paid?

Data Product Owners typically earn between $90,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those in high-demand markets can offer higher salaries, often supplemented with bonuses and benefits. Strong skills in data management, stakeholder communication, and familiarity with tools like Agile or Scrum can influence compensation.
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What cities are hiring for Data Product Owner jobs?

Cities with the most Data Product Owner job openings:

What are the most commonly searched types of Data Product Owner jobs?

The most popular types of Data Product Owner jobs are:

What states have the most Data Product Owner jobs?

States with the most job openings for Data Product Owner jobs include:

Infographic showing various Data Product Owner job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $112,891 per year, or $54.3 per hour.

Other

Posted 29 days ago


Job description

Outstanding long-term contract opportunity! A well-known Financial Services Company is looking for an Agile Product Owner with extensive data product experience in Charlotte, NC (Hybrid).
Work with the brightest minds at one of the largest financial institutions in the world. This is a long-term contract opportunity that includes a competitive benefit package! Our client has been around for over 150 years and is continuously innovating in today's digital age. If you want to work for a company that is not only a household name, but also truly cares about satisfying customers' financial needs and helping people succeed financially, apply today.
Contract Duration: 12+ Months
Required Skills & Experience
  • 5+ years of digital product management, product ownership, Agile delivery, data product management, business analysis, data management, or equivalent experience demonstrated through one or a combination of work experience, training, military experience, or education.
    Experience serving as a Product Owner, Agile Product Owner, Business Product Owner, Data Product Owner, Business Analyst, Data Product Lead, or similar role supporting Agile delivery teams (product area ownership, backlog prioritization, user story refinement, acceptance criteria, and delivery team collaboration).
  • Experience with data management, data governance, data quality, metadata, lineage, data integration, remediation, reporting, analytics, or enterprise data platforms.
  • Experience with Agile practices and frameworks, such as Scrum, Kanban, or scaled Agile methods, and workflow/collaboration tools such as Jira and Confluence.
  • Ability to translate product vision, business outcomes, policy requirements, stakeholder needs, and data product requirements into clear features, stories, acceptance criteria, and backlog priorities.
  • Strong stakeholder management skills with the ability to facilitate collaboration across business, technology, risk, compliance, operations, analytics, and data governance partners.
  • Strong risk management leadership skills, including the ability to identify, communicate, prioritize, and help remediate delivery, data, compliance, policy, operational, and dependency risks.
  • Strong dependency management skills, including the ability to coordinate sequencing and priority conflicts across products, product areas, systems, teams, and stakeholder groups.
  • Ability to communicate effectively in written and verbal formats at multiple levels of the organization, including senior leadership, product partners, delivery teams, data consumers, and control partners.
  • Ability to influence and lead organizational change in a matrixed environment while building effective business partnerships across teams and functions.
  • Experience working with delivery teams and supporting team-level execution through backlog refinement, sprint/iteration planning, acceptance criteria clarification, demos/reviews, and product feedback loops.
  • Comfort with ambiguity and the ability to facilitate discussion, evaluate trade-offs, and guide stakeholders and teams toward the best available solution based on value, risk, feasibility, dependencies, and delivery readiness.
  • Familiarity with relevant job-specific skill areas such as Agile Methodology, Data Management, Data Modeling, Data Analysis, Data Insights, Product Management, Product Strategies, Stakeholder Management, Prioritization, Risk Management, Regulatory Compliance, Requirement Documents, Written Communication, and Workflow Organization.
  • Experience working with enterprise data warehouses, cloud-based data platforms, reporting and analytics solutions, or data governance programs.
  • Experience working in highly regulated environments requiring adherence to risk, compliance, audit, and policy requirements.

What You Will Be Doing
  • Serve as the business authority for a defined data product area, including helping define, document, and prioritize software requirements and supporting appropriate SDLC deliverable approvals where applicable.
  • Develop, evolve, and communicate the product area vision, priorities, goals, and strategy to key partners and stakeholders while obtaining feedback, managing risk, and ensuring regulatory and policy compliance.
  • Partner with Product Management on the overall product intention map, product strategy, roadmap alignment, and prioritization decisions, ensuring the product area backlog reflects near-term delivery needs and longer-term strategic outcomes.
  • Establish, communicate, and monitor product area goals, performance indicators, and value measures, including business value, delivery outcomes, customer/stakeholder outcomes, data quality outcomes, operational readiness, and risk/control considerations.
  • Own prioritization of a clearly understood product area backlog aligned to product area vision, goals, stakeholder needs, and product strategy.
  • Ensure all known work is added to the backlog and made transparent, including delivery work, discovery work, business readiness work, data quality/remediation work, governance work, dependency work, risk/control work, and operational readiness work.