Serve as a strategic advisor to R&D leadership on opportunities to improve pipeline productivity and operational efficiency using data Establish and govern data standards, metadata management, lineage, and ontologies across R&D domains Ensure compliance with enterprise data governance and facilitate its application across R&D data sets Partner with I&T to design and maintain scalable, secure, and More ❯
Serve as a strategic advisor to R&D leadership on opportunities to improve pipeline productivity and operational efficiency using data Establish and govern data standards, metadata management, lineage, and ontologies across R&D domains Ensure compliance with enterprise data governance and facilitate its application across R&D data sets Partner with I&T to design and maintain scalable, secure, and More ❯
team Self-Starter: willing to learn new technologies, ability to learn fast Strong complex problems solving skills Candidate should have some experience or interest in creating data schemas, and ontologies, defining properties and rules for different dataset types to encourage data consistency across the business. Experience with scripting and automation (e.g., Python, SQL, FME). Undergraduate degree in Data Science More ❯
