Data Steward (Business Analytics & AI Readiness)

Data Steward (Business Analytics & AI Readiness) YOUR TASKS AND RESPONSIBILITIES Develop strong, collaborative relationships with business stakeholders, data owners, product teams, and technical partners to understand data challenges and drive stewardship initiatives. Serve as a liaison between Business Analytics, Data Engineering, Product, and Governance teams to align on data definitions, standards, and business requirements. Establish and maintain business metadata, including business terms, critical data elements, business rules, and data documentation. Identify, prioritize, track, and coordinate remediation of data quality issues across critical business datasets. Support data migration and modernization efforts by documenting data requirements, quality expectations, lineage, and business context. Monitor data quality trends and partner with stakeholders to improve completeness, accuracy, consistency, and reliability of data assets. Facilitate root cause analysis of recurring data issues and drive sustainable corrective actions. Partner with technical teams to ensure data warehouse, reporting, and AI-use-case requirements are reflected in data models and source systems. Support metadata management, data catalog, and governance tools by maintaining business context and stewardship information. Drive identification and governance of Critical Data Elements (CDEs) and other high-value business data assets. Develop and communicate data standards, stewardship practices, and business guidance to stakeholders. Promote AI readiness by ensuring key datasets are well-documented, governed, and accompanied by meaningful business context and metadata. Act as a steward for trusted data by improving discoverability, usability, and understanding of enterprise data assets. Support governance committees and working groups through preparation of materials, issue tracking, and stewardship recommendations. WHO YOU ARE Required: Bachelor's degree in Business, Information Systems, Data Analytics, Computer Science, or a related field, with 5-7 years of experience in data governance, business analytics, data management, business operations, or a related discipline. Experience partnering with business and technical stakeholders to define requirements, document business processes, and support data-driven decision-making. Experience working with enterprise data environments, including data warehouses, reporting platforms, and data quality management processes. Working knowledge of SQL and data analysis techniques, with experience investigating and resolving data quality issues across complex business processes. Strong communication, organizational, and problem-solving skills with the ability to translate technical concepts into business language while maintaining a high degree of accuracy, attention to detail, and accountability. Preferred: Master's (MS/MBA) in Business, Agricultural Sciences, Engineering, or related field 12+ yrs in operations, including 10+ yrs leading teams. Global experience Employees can expect to be paid a salary of approximately $127k-185k. Additional compensation may include a bonus or incentive program (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.. This salary (or salary range) is merely an estimate and may vary based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors. This posting will be available for application until at least 9/30/26. Bayer is an Equal Opportunity Employer/Disabled/Veterans Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below. Bayer is an E-Verify Employer. Location: United States : Missouri : Creve Coeur || United States : Illinois : Chicago || United States : Residence Based : Residence Based || United States : Washington : Seattle Division: Crop Science Reference Code: 887091 Email: View email address on click.appcast.io #J-18808-Ljbffr Bayer CropScience Limited