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
The Right Place for 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 our Basic Beliefs, and we believe in supporting every employee by meeting their physical, emotional, and financial needs.
Stay connected with us on LinkedIn®
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.
Skills Required
- Bachelor's degree or equivalent experience
- 10+ years experience in data modeling, governance, or data architecture
- 3+ years managing and developing technical teams
- Proven experience implementing enterprise data governance programs
- 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
The J.M. Smucker Co. Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about The J.M. Smucker Co. and has not been reviewed or approved by The J.M. Smucker Co..
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Retirement Support — Retirement programs are described as strong, with a company 401(k) match, immediate vesting in some materials, and access to an Employee Stock Purchase Plan. These elements contribute to a favorable view of total compensation value.
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Parental & Family Support — Paid parental leave for all parents and on-site childcare at key locations signal a family-forward approach. Additional supports such as adoption assistance and pet-related leave reinforce this emphasis.
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Leave & Time Off Breadth — Paid time off, seasonal compressed schedules, and flexibility options are highlighted across materials. The ability to start with substantial PTO and buy additional time enhances perceived time-off breadth.
The J.M. Smucker Co. Insights
What We Do
Each generation of consumers leaves their mark on culture by establishing new expectations for food and the companies that make it. At The J.M. Smucker Co., it is our privilege to be at the heart of this dynamic with a portfolio that appeals to each generation of people and pets with products found in 90 percent of U.S. homes and countless restaurants. This includes a mix of iconic brands consumers have always loved such as Folgers®, Jif® and Milk-Bone® and new favorites like Café Bustelo®, Smucker’s® Uncrustables® and Rachael Ray® Nutrish®. By continuing to immerse ourselves in consumer and pet parent preferences for food, how it’s purchased and how the companies that make it should operate, we will maintain the important role we play in their lives. This will allow us to continue growing our business and the positive impact we have on all of those who count on us.






