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Manager Data Product Owner Jobs (NOW HIRING)

Manage data product roadmaps and governance, including data quality and data glossary * Own schema ... a Product Owner or Product Manager * Strong data product management experience * Hands-on ...

The Data & AI Product Owner - Purchasing is accountable for defining, prioritizing, and realizing ... Manage expectations and sequencing of delivery based on capacity and value​ * Backlog & Delivery ...

Product Ownership (Data Focused) Own and manage the product backlog for Data & Analytics ... Proven experience as a Product Owner and/or Scrum Master. * Strong exposure to Data & Analytics ...

Senior Data Product Owner, RPA

Atlanta, GA · Hybrid

$82K - $104K/yr

Own and manage the RPA Data Domain, ensuring the integrity, availability, and usability of ... a Data Product Owner or in a similar role, specifically Risk, Performance, and Attribution.

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Manager Data Product Owner information

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How much do manager data product owner jobs pay per year?

As of Jul 23, 2026, the average yearly pay for manager 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 the difference between Manager Data Product Owner vs Data Analyst?

AspectManager Data Product OwnerData Analyst
CredentialsTypically requires experience in product management, data management, and certifications like Certified Scrum Product Owner (CSPO)Usually holds a degree in data science, statistics, or related fields; certifications like Microsoft Certified Data Analyst are common
Work EnvironmentLeads cross-functional teams, manages product lifecycle, collaborates with stakeholdersAnalyzes data sets, creates reports, supports decision-making through data insights
Employer & Industry UsageUsed in tech, finance, healthcare industries focusing on data products and solutionsCommon across industries for data-driven decision support

The Manager Data Product Owner focuses on managing data products, aligning them with business goals, and leading teams. In contrast, a Data Analyst primarily interprets data to generate insights. Both roles require strong data skills but differ in scope and responsibilities.

What cities are hiring for Manager Data Product Owner jobs? Cities with the most Manager 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 Manager Data Product Owner jobs? States with the most job openings for Manager Data Product Owner jobs include:
Data Product Owner- Hybrid/Onsite Lewiston MAINE

Data Product Owner- Hybrid/Onsite Lewiston MAINE

Geiger Brothers

Lewiston, ME • On-site

Full-time

Retirement

Posted 26 days ago


Job description

Join the largest privately held promotional products company in the US.

  • Enjoy a competitive compensation package.
  • Full benefits package that includes Education Reimbursement and 401k (with match).
  • Click side bar links for more information about who we are and what we do.

Job Summary

Under general supervision of the Director of Business Transformation and Project Management, the Data Product Owner is responsible for defining, prioritizing, and governing enterprise data assets to ensure alignment with business strategy, operational excellence, and analytics objectives. This role ensures that enterprise data initiatives — including data lake and data warehouse development, ERP implementations, and broader application modernization efforts — are aligned with transformation goals and deliver measurable business value.

The Data Product Owner serves as the primary liaison between business stakeholders and technical data teams, translating business requirements into clear data standards, structures, rules, and quality expectations. This role also leads a team of Data Analysts who support data definition, validation, and cross-functional alignment activities across enterprise data domains.

Essential Functions

  • Define and maintain data domain ownership (e.g., customer, product, finance, supply chain).
  • Translate business requirements into data definitions, rules, enrichment logic, and acceptance criteria.
  • Prioritize data initiatives, cleansing efforts, and enhancements based on transformation goals and business impact.
  • Approve and validate transformed, cleansed, and enriched datasets prior to release.
  • Establish and document business data standards, including definitions, hierarchies, and critical attributes.
  • Identify and resolve data quality issues impacting operations, reporting, or analytics.
  • Drive alignment across business functions on common data definitions and usage.
  • Measure and report on data quality, adoption, and value realization metrics.
  • Serves as the business authority for assigned data domains within the Data Governance Council.
  • Defines and approves business data standards, critical data elements, and quality thresholds.
  • Partners with Data Stewards[NL1] to monitor compliance and remediate issues.
  • Escalates cross-functional data conflicts to the Director of Business Transformation or Governance Council [NL2] for resolution.
  • Ensures regulatory, privacy, and policy requirements are reflected in domain-level rules.
  • Lead and mentor Data Analysts supporting enterprise data initiatives.
  • Assign and prioritize analyst work aligned to domain roadmaps and transformation goals.
  • Ensure analysts document data definitions, mappings, and business rules consistently.
  • Review and approve analytical outputs to ensure alignment with enterprise standards.
  • Standardize metric definitions and calculation logic across reports and systems.
  • Drive continuous improvement in data quality measurement and reporting practices.
  • Foster business literacy in analytics by promoting consistent interpretation and usage of data.

Education and Experience

  • Equivalence of Bachelor’s degree in Business, Information Systems, Data Analytics, Computer Science, Finance, or a related field required.
  • Master’s degree (MBA, MS in Analytics, Information Systems, or related discipline) preferred.
  • Certifications in Data Management, Governance, Agile Product Ownership, or ERP platforms (e.g., SAP) preferred.
  • 5-7 years of experience in data management, analytics, business systems, or enterprise transformation roles.

Competencies and Skills

  • Communication: Explains technical constraints in business terms and translates business needs into clear data requirements.
  • Strategic Thinking: Connects data decisions to enterprise objectives and long-term transformation goals.
  • Business Acumen: Understands operational processes and how data drives revenue, cost control, and risk management.
  • Data Governance: Establishes and enforces data standards, ownership, and quality thresholds across domains.
  • Analytical Thinking: Evaluates complex data issues and identifies practical, scalable solutions.
  • Decision-Making: Makes informed, timely decisions in ambiguous or cross-functional environments.
  • Influence: Builds alignment across departments without direct authority
  • Conflict Resolution: Mediates disagreements over data definitions, priorities, and ownership.
  • Stakeholder Management: Engages executives, SMEs, and analyst to ensure shared understanding and accountability.
  • Change Leadership: Drives adoption of new data standards and governance practices.
  • Prioritization: Balances competing demands and sequences data initiatives based on business value.
  • Team Leadership: Guides and mentors data analysts to ensure consistent standards and high-quality deliverables.

Physical, Mental and Environmental Requirements

  • Prolonged periods of sitting at a desk or computer.
  • Typing and using a computer keyboard for extended periods.
  • Communication/Interactions with team members, internal customers and sales reps via in person, phone, email, and video call.
  • Strong attention to detail and the ability to concentrate for extended periods.
  • Ability to manage multiple projects and systems simultaneously.
  • Effective time management skills, balancing competing priorities.
  • Working indoors in a typical office environment.
  • Use of standard office equipment such as computers, phones, and printers.

Certification

  • Industry certification at the MAS (Master Advertising Specialist) level

Supervisor Responsibilities

The Data Product Owner is responsible for the supervision of the Data Analyst roles and responsibilities.

Geiger is an Equal Opportunity/Affirmative Action Employer: We are committed to creating an inclusive environment for all our associates.