Data Steward (Sleepy Eye, MN)

Christensen Farms•Sleepy Eye, MN

7d•$75,000 - $100,000•Hybrid

About The Position

The Data Steward plays a critical role in supporting the Data & Analytics Governance Program by ensuring enterprise data is governed according to established standards and business requirements. Serving as a trusted partner between business stakeholders and technical teams, this role promotes high-quality, well-documented, and trusted data for reporting, analytics, and operational decision-making. The Data Steward is responsible for monitoring and improving data quality, supporting metadata management, data cataloging, data lineage, and governance activities across assigned business domains. Working closely with Operations, Finance, Decision Science, IT, and other business leaders, this position strengthens data integrity, supports governance maturity, and maximizes the value of Christensen Farms' enterprise data assets.

Requirements

Bachelor's degree in business, Information Systems, Statistics, Agriculture Business or related field.
1-3 years of experience in Data Governance, Data Quality, Data Stewardship, Business Analysis, Analytics, Reporting, Master Data Management, or related disciplines.
Understanding of data governance, data quality, metadata management, and enterprise data management concepts.
Clear, concise, and precise written and verbal communication skills to effectively communicate with people of various backgrounds including non-technical audiences.
Analytical thinking, problem-solving capabilities, attention to detail and ability to monitor compliance metrics.
Commitment to confidentiality and ethical data management practices.
Ability to influence adoption of governance policies across diverse teams.
Proficiency with Microsoft Office Suite, including Excel, PowerPoint, Teams, and Outlook.

Nice To Haves

Experience with enterprise Data Governance and Metadata Management platforms such as IBM Cloud Pak for Data, Collibra, Microsoft Purview, or similar solutions.
Experience with Data Catalog, Business Glossary, Metadata Management, Data Lineage, and Data Quality capabilities.
Experience documenting business definitions, critical data elements, source-to-target mappings, and business data flows.
Experience supporting metadata governance, data quality monitoring, and stewardship workflows.
Experience with SQL, Power BI, and enterprise reporting platforms.
Experience working with ERP, CRM, Finance, Operations, or Master Data Management solutions.
Experience supporting enterprise Data Governance or Data Quality programs.
Agriculture, food production, manufacturing, or supply chain industry.
Swine industry experience is a plus.

Responsibilities

Monitor and improve data quality, accuracy, consistency, completeness, and timeliness across assigned business domains.
Investigate data issues, perform root cause analysis, and coordinate remediation with business and technical teams.
Track and report data quality metrics, stewardship activities, and governance compliance measures.
Support implementation and adoption of Data Governance policies, standards, and best practices.
Assist in defining data ownership, stewardship responsibilities, and governance processes.
Identify opportunities to improve data quality, governance practices, and business processes.
Maintain business definitions, metadata, business glossary content, and critical data documentation.
Support data cataloging, metadata management, and lineage activities within IBM Cloud Pak for Data.
Document and maintain critical data elements, source-to-target mappings, and data flows to improve transparency and traceability.
Partner with business and technical stakeholders to ensure metadata and governance artifacts remain accurate and current.
Serve as a primary point of contact for data-related questions and issues.
Manage data issues through identification, investigation, remediation, and closure.
Track issue status, document corrective actions, and escalate recurring or high-risk issues as appropriate.
Act as a liaison between business stakeholders and technical teams to align data definitions, quality requirements, and governance standards.
Build strong cross-functional relationships and promote data stewardship best practices across the organization.
Support governance councils, working groups, and continuous improvement initiatives.