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Data Governance Manager Jobs in Ohio (NOW HIRING)

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Data Governance Manager information

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$20

$52

$81

How much do data governance manager jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for data governance manager in Ohio is $52.08, according to ZipRecruiter salary data. Most workers in this role earn between $38.61 and $63.75 per hour, depending on experience, location, and employer.

What is the difference between Data Governance Manager vs Data Analyst?

AspectData Governance ManagerData Analyst
Required CredentialsBachelor's degree in Information Management, Data Science, or related fields; certifications like CDMP or DAMA-DMBOKBachelor's degree in Statistics, Data Science, or related fields; certifications like Microsoft Data Analyst Associate
Work EnvironmentOversees data policies, compliance, and data quality; collaborates with IT and managementAnalyzes data sets, creates reports, and provides insights; works with business teams and IT
Employer & Industry UsageCommon in finance, healthcare, and large enterprises focusing on data complianceWidely used across industries for business insights and decision-making

The Data Governance Manager focuses on establishing data policies, ensuring compliance, and managing data quality, while the Data Analyst primarily interprets data to generate insights and support business decisions. Both roles require strong data skills but serve different functions within organizations.

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

To thrive as a Data Governance Manager, you need expertise in data management frameworks, data quality assurance, and regulatory compliance, typically supported by a degree in information management or a related field. Familiarity with data governance tools such as Collibra or Informatica, and certifications like CDMP (Certified Data Management Professional), are often required. Strong leadership, communication, and stakeholder management skills distinguish top performers in this role. These competencies ensure that organizational data is accurate, secure, and effectively leveraged for business value and regulatory adherence.

What is a data governance manager?

Data Governance Managers are professionals responsible for developing, implementing, and maintaining an organization's data governance policies and strategies. They ensure data quality, integrity, security, and compliance with relevant regulations. Their work involves collaborating with various departments to establish data standards, oversee data lifecycle management, and address data-related issues. By doing so, they help organizations maximize the value of their data while minimizing risks.

What are some common challenges faced by data governance managers when implementing new policies across an organization?

Data Governance Managers often encounter challenges such as resistance to change from stakeholders, varying data practices across departments, and the need to balance data accessibility with compliance requirements. Building consensus and securing buy-in from leadership and end-users is essential, as is ensuring that policies are clearly communicated and aligned with business goals. Addressing these challenges typically involves strong collaboration, continuous education efforts, and the development of practical, user-friendly governance frameworks.
What are the most commonly searched types of Data Governance jobs in Ohio? The most popular types of Data Governance jobs in Ohio are:
What cities in Ohio are hiring for Data Governance Manager jobs? Cities in Ohio with the most Data Governance Manager job openings:
Infographic showing various Data Governance Manager job openings in Ohio as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $108,321 per year, or $52.1 per hour.

Manager, Data Modeling & Governance

J.M. Smucker Company

Akron, OH • On-site

Full-time

Re-posted 24 days ago


J.M. Smucker rating

8.2

Company rating: 8.2 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

70th of 436 rated food and drinks producers


Job description

Your Opportunity as the Manager, Data Modeling & Governance

The Manager, Data Modeling & Governance is responsible for leading a team of data architects and governance professionals while establishing enterprise standards for how data is defined, structured, and governed. This role ensures that data is trusted, consistently defined, and aligned to support scalable analytics and reporting across the organization. This role defines and enforces standards for dimensional modeling using star schema principles, including fact and dimension design, conformed metrics, and semantic consistency across domains. It ensures that analytics data models are reusable, performant, and aligned to business needs, while supporting a unified semantic layer that enables reliable reporting and analytics, including Tableau. In addition, this role owns the enterprise data governance framework, including metadata, lineage, data ownership, and classification. Governance practices are designed to be embedded into daily workflows, ensuring data is discoverable, accountable, and usable. This role defines what data means and how it is structured, complementing data engineering and platform engineering capabilities across the enterprise data platform.

Location: Orrville, OH (Close proximity to Cleveland/Akron)

Work Arrangements: Hybrid - onsite a minimum of 9 days a month primarily during core weeks as determined by the Company; maybe more as business need requires

In this role you will:

  • Team Leadership & Talent Development

    • Lead, coach, and develop a team of Data Architects and Data Governance professionals

    • Set clear priorities, performance expectations, and deliverables

    • Establish consistent modeling and governance practices across domains

    • Build team capabilities in dimensional modeling, governance execution, and business alignment

    • Create and maintain scalable documentation, standards, and training materials

  • Data Modeling Standards

    • Define and enforce enterprise standards for dimensional modeling using star schema principles

    • Establish consistent design patterns for fact tables, dimension tables, conformed dimensions, and metric definitions

    • Ensure models are optimized for analytics, reporting, and usability, including Tableau

    • Promote reusable, domain-aligned models that reduce redundancy and duplication

  • Semantic Consistency & Business Alignment

    • Define and maintain consistent business definitions across the enterprise

    • Establish a unified semantic layer supporting Tableau and certified data sources

    • Resolve discrepancies in metric definitions and data interpretation

    • Ensure alignment between source data, engineered data layers, and published analytics assets

  • Data Governance Strategy & Execution

    • Own and evolve the enterprise data governance operating model

    • Establish standards for data classification, sensitivity, retention, and lifecycle management

    • Define requirements for metadata completeness, ownership, and stewardship

    • Track governance adoption, maturity, and compliance across domains

  • Metadata, Lineage & Data Catalog

    • Own metadata strategy and governance tooling, including platforms such as Atlan and Unity Catalog

    • Drive completeness and accuracy of business definitions, lineage, and ownership

    • Improve discoverability and usability of enterprise data assets

    • Increase adoption of catalog and governance workflows

  • Governance Integration with Delivery

    • Define how governance and modeling standards are embedded into data engineering workflows

    • Establish standards for certified datasets and trusted data sources

    • Define promotion patterns from raw to curated to published data layers

    • Ensure governance supports efficient delivery and consumption of analytics

What we are looking for:

Minimum Requirements:

  • Bachelor's Degree or equivalent experience

  • 10+ years of experience in data modeling, governance, or data architecture

  • 3+ years of experience managing and developing technical teams

  • Proven experience implementing enterprise data governance programs

  • Strong experience defining and enforcing data modeling standards at scale

  • Experience supporting enterprise analytics and reporting environments

  • Deep expertise in dimensional modeling using star schema for analytics and reporting

  • Strong experience in data governance frameworks and execution

  • Experience with metadata management, lineage, and data catalogs such as Atlan

  • Strong understanding of analytics ecosystems, including Tableau

  • Experience aligning data models with business definitions and reporting requirements

Additional skills and experience that we think would make someone successful in this role (not required):

  • Lakehouse and layered data architectures

  • Data quality frameworks and validation practices

  • Data access controls and governance implementation approaches

  • Modern data platform concepts and workflows

TheRight Placefor You

We are bold, kind, strive to do the right thing, we play to win, and we believe in a strong community that thrives together. Our culture is rooted in ourBasic Beliefs, and we believe in supporting every employee by meeting their physical, emotional, and financial needs.

Stay connected with usonLinkedIn

We're an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, genetic information, age, national origin, disability status or protected veteran status.


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