Data Management Specialist for E.L.Y. GenAI Project

Overview Data Management Specialist for E.L.Y. GenAI Project (Contract) – St. Louis, MO, United States (Hybrid) Contract (5 months 30 days) GenAI • data management • automation Job Summary This position serves as a critical bridge between advanced artificial intelligence technology and practical agricultural applications, focusing on the development and optimization of a cutting-edge GenAI model for agronomic and product information. The successful candidate will take ownership of the entire data lifecycle, from initial preparation through ongoing management and quality assurance, while championing the adoption of AI-driven solutions across the organization. This role requires a unique blend of agricultural expertise and technical proficiency, as you will work to build trust and understanding in AI applications while ensuring data integrity and compliance. You will serve as a key liaison between multiple departments, facilitating collaboration and driving innovation initiatives that leverage artificial intelligence to solve real-world agricultural challenges. Responsibilities Collaborate with internal teams to identify, format, and ingest relevant agronomic and product content in accordance with established organizational standards Facilitate the expansion of the data foundation by integrating new and pertinent datasets into the system Oversee the organization and maintenance of data, ensuring accuracy, completeness, and compliance with legal standards Implement automation processes to streamline data handling and improve operational efficiency Lead data quality control initiatives, including the creation of question-and-answer pairs for system validation and benchmarking Design and conduct test cycles to evaluate model behavior and drive continuous improvement Facilitate onboarding and training sessions for internal teams and stakeholders to ensure effective system utilization Partner with cross-functional teams including IT, Legal, Sales, and Marketing to promote responsible adoption and alignment with business objectives Support the development of local innovation initiatives by assisting teams in leveraging system capabilities for tailored use cases Ensure global consistency and facilitate shared learnings across regions Skills Strong understanding of crop systems, product information, and technical documentation in agriculture Proficiency with GenAI tools, data ingestion workflows, and practical application of data for model enhancement Expertise in organizing technical information and ensuring data quality standards Advanced capabilities in developing automated processes for data handling Excellent training and presentation skills for diverse stakeholder audiences Strong communication abilities to convey complex technical concepts to non-technical audiences Cross-functional leadership and collaboration skills Ability to provide clear governance and direction in complex organizational environments Problem-solving mindset with focus on continuous improvement Project management capabilities to handle multiple initiatives simultaneously Experience Minimum 5 years of professional experience in agricultural or related technical fields Demonstrated track record of leading training and engagement sessions for diverse stakeholders Previous experience working with cross-functional teams including IT, legal, commercial, and technical departments Qualifications Bachelor’s degree in Agronomy, Agricultural Science, Data Science, or related field This is an exceptional opportunity to be at the forefront of agricultural innovation, where you will play a pivotal role in shaping how artificial intelligence transforms the agriculture industry. You will have the unique chance to influence the adoption of groundbreaking technology while working with passionate professionals across multiple disciplines, making a tangible impact on how agricultural knowledge is managed and shared globally. #J-18808-Ljbffr Bayer AG