Overview As Data Steward for Bayer Digital Farming Solutions, you will partner with business and technical teams to elevate data quality, standards, and governance across analytics, reporting, and AI readiness. You'll bridge Business Analytics, Data Engineering, Product, and Governance to ensure data is well-documented, trusted, and ready for data-driven decision making. You'll lead data quality remediation, metadata management, and data migrations while promoting data ownership. This role offers meaningful impact by enabling reliable insights at scale within DFS.
Compensation / Benefits- salary $127k-185k
- bonus or incentive program
- health care
- vision
- dental
- retirement plan","PTO","sick leave"
Responsibilities- Build strong relationships with data owners and stakeholders to drive stewardship initiatives
- Align data definitions, standards, and requirements across teams
- Create and maintain business metadata, terms, rules, and data documentation
- Identify and remediate data quality issues across critical datasets
- Support data migrations by documenting requirements, quality, lineage, and context
- Monitor data quality trends and drive corrective actions
- Facilitate root cause analysis of data issues and sustainable fixes
- Collaborate with data warehouse, reporting, and AI use-case teams on data models and source systems
- Maintain metadata management, data catalog, and stewardship information
- Drive governance of Critical Data Elements (CDEs) and high-value assets
- Develop and communicate data standards and stewardship practices
- Promote AI readiness with well-documented, governed datasets and metadata
Key requirements- Bachelor in Information Systems (or related field) with 5-7 years of experience in data governance, analytics, or data management
- Experience partnering with business and technical stakeholders to define requirements and support data-driven decisions
- Experience with enterprise data environments (data warehouses, reporting platforms, data quality processes)
- Working knowledge of SQL and data analysis; experience resolving data quality issues
- Strong communication, organization, and problem-solving skills; translating technical concepts to business language
- strong communication
- organizational skills
- problem-solving
- SQL
- data governance
- metadata management
