Advisor R&D: Data Standards and Strategy

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:

Develops, implements, and maintains R&D data model, governance frameworks and standards for electronic data, ensuring data quality, accessibility, and usability for advanced analytics and AI/ML initiatives.

This role will be formative in establishing new ways of working with Elanco R&D data across functional areas, requiring significant leadership and strategic input.

Your Responsibilities:

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

·       Drive 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.

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

·       Lead the development and delivery of comprehensive 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.

·       Oversee the implementation, tracking, and strategic direction of data quality monitoring and cleaning processes, including establishing and refining metrics/KPIs to proactively identify, monitor, and address data quality, accessibility, bias mitigation, and overall program maturity, reporting performance and risks to leadership.

What You Need to Succeed (minimum qualifications):

·        Education: Bachelors in data science or similar.

·        Experience: 8+ years of experience in data governance, AI/ML governance, data product management, or risk/compliance in data-centr...