Manager, Data Modeling & Governance

Manager, Data Modeling & Governance

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.

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.

• 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.

• 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.

• Lakehouse and layered data architectures.
• Data quality frameworks and validation practices.
• Data access controls and governance implementation approaches.
• Modern data platform concepts and workflows.

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.