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# SHE&S Data Governance & Modelling Manager - Loveland, CO or Deerfield, IL

- **Company:** Nutrie LLC
- **Location:** Deerfield, IL, United States
- **Experience:** Experienced
- **Salary:** $100,400.0 - $157,630.0
- **Contract:** Permanent contract
- **Skills:** Sql Data Warehouse, Amazon Web Services, Business Analytics Applications, Data Analysis, Microsoft Azure, Cyber Security, Information Systems, Data Architecture, Data Governance, Relational Databases, Meta-Data Management, Metadata Repositories, Power BI, Cloud Services, SQL Databases, Enterprise Data Management, Data Classification, Snowflake, Microsoft Fabric, Data Lakes, Information Technology, Data Lineage, Data Management, Data Pipelines, Databricks
- **Published:** October 14, 2026
- **Apply:** https://www.thejobnetwork.com/job/shes-data-governance-modelling-manager-loveland-co-or-deerfield-il-509977801

## About the Role

* Bachelor's degree in Information Systems, Computer Science, Data Management, Business, or a related discipline
 * 8+ years' experience in data governance, data architecture, data modelling, or enterprise data management
 * 3+ years leading governance or data management teams
 * Strong understanding of enterprise data management frameworks (e.g., DAMA-DMBOK)
 * Experience with cloud data platforms such as Azure or AWS
 * Experience with SQL and relational database design
 * Knowledge of metadata management, master data management, and data catalog solutions
 * Understanding of privacy regulations and information security principles
 * Experience with modern analytics platforms such as Power BI, Snowflake, Databricks, Microsoft Fabric, or similar technologies

## Description

* Lead the development, implementation, and continuous improvement of the SHE&S Data Governance Framework across the organization
 * Establish and maintain data governance policies, standards, procedures, and controls throughout the data lifecycle
 * Define and monitor data quality standards, governance metrics, and validation controls to ensure SHE&S data is trusted, accurate, and reliable
 * Lead conceptual, logical, and physical data modelling activities across SHE&S platforms and establish enterprise naming and modelling standards
 * Review and approve solution data models and support cloud data warehouse, data lake, analytics, and reporting architecture initiatives
 * Partner with Privacy, Legal, Cyber Security, Risk, and Technology teams to ensure compliance with privacy legislation, security requirements, and corporate policies
 * Oversee data classification standards, access controls, and governance practices related to confidential and regulated data, including personally identifiable information (PII)
 * Support audits, compliance assessments, and regulatory reporting activities
 * Advocate for SHE&S data domain ownership and stewardship by defining responsibilities for Data Owners and Data Stewards
 * Maintain SHE&S business glossaries, metadata, and data lineage documentation to improve data accountability and discoverability
 * Promote secure, governed self-service analytics and trusted data products while balancing accessibility, privacy, and compliance requirements
 * Increase organizational data literacy through governance awareness, education, and collaboration with business stakeholders
 * Review system and data changes to ensure governance compliance and validate impacts to data models, reporting, integrations, and downstream systems
 * Participate in change advisory boards and establish governance checkpoints within project delivery lifecycles
 * Implement and monitor proactive controls for SHE&S data pipelines and integrations, including monitoring for failures, latency, completeness, schema changes, and data quality issues
 * Drive root cause analysis, remediation activities, and continuous improvement initiatives to improve data reliability and operational performance
 * Lead and mentor Data Governance Analysts, Data Modellers, and Data Stewards within the SHE&S function
 * Build strong relationships with business leaders, technical teams, and external partners to support enterprise data management objectives
 * Manage governance initiatives, roadmaps, budgets, and vendor engagements while fostering a culture of collaboration, accountability, and continuous improvement