Associate- Data Strategy & Standards

At Elanco (NYSE: ELAN) – it all starts with animals!

As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets.

At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose – all to Go Beyond for Animals, Customers, Society and Our People.

At Elanco, we pride ourselves on fostering a diverse and inclusive work environment.

We believe that diversity is the driving force behind innovation, creativity, and overall business success.

Here, you’ll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights.

Making animals’ lives better makes life better – join our team today!

Your Role:

Assists in the development, implementation, and maintenance of R&D data models, governance frameworks, and standards for electronic data.

This role supports ensuring data quality, accessibility, and usability for advanced analytics and AI/ML initiatives, learning and contributing to new ways of working with Elanco R&D data across functional areas.

Your Responsibilities:

·       Contribute to the design, implementation, and maintenance of the electronic data governance program, including frameworks, policies, and guidelines, ensuring alignment with Elanco's values, corporate policies, regulatory requirements, and the needs of AI/ML initiatives.

·       Support the design, implementation and operationalization of metadata management strategies, including data catalogs and data dictionaries, to ensure consistent metadata, lineage, and quality for use in platforms like Databricks and Power BI

·       Support cross-functional collaboration with business stakeholders (R&D, IT, and Quality Assurance) to align data governance objectives with practical data needs to seamless integration with existing data management procedures or identify new ways of working suitable for advanced analytics and AI/ML.

·       Assist in the development and delivery of training materials to promote data literacy and foster a data-driven culture across the organization, with a focus on enabling data utilization for AI/ML.

·       Assist in the implementation, tracking, and oversight of data quality monitoring and cleaning processes, including establishing metrics and KPIs to proactively identify, monitor and address data quality data quality, accessibility, bias mitigation, and overall program maturity.

What You Need to Succeed (minimum qualifications):

·        Education: Bachelors in data science or similar.

·        Experience: Experience in data model development, data product management, or risk/compliance in data-centric organizations

·        Core Skills: Strong analytical capability, detail orientation, and ability to communicate across technical and ...