Head of R&D Data and Digital
Zoetis
August 12, 2026
Remote friendly (Kalamazoo, MI)
United States
IT
Essential Duties and Responsibilities:
- Recruit, grow, and lead high-performing teams across data engineering, data analytics, data science, and product management.
- Own the R&D digital strategy and portfolio; prioritize investments against scientific objectives.
- Define and scale the R&D AI and data science strategy for high-ROI use cases with success criteria and measurable scientific impact.
- Deliver $30M+ R&D data and digital programs; lead cross-functional teams for end-to-end solutions accelerating discovery through regulatory submission.
- Own the R&D data and digital roadmap; integrate portfolio priorities with GxP, data integrity, and data privacy; establish governance and audit readiness.
- Govern and enforce standard data architecture, metadata, and FAIR principles; implement quality controls, lineage, and stewardship.
- Build and operationalize self-service data products and insight platforms; use product-centric agile delivery with UX, backlog hygiene, and release discipline.
- Partner with IT on enterprise operating model (capacity planning, SLAs, incident/problem management, vendor performance, cost optimization).
- Define and track KPIs; socialize results to drive adoption and continuous improvement.
- Orchestrate cross-domain data integration (ELN/LIMS interoperability, automated experiment workflows, standardized pipelines).
- Launch communities of practice and training; embed responsible AI practices.
Requirements:
- Education: Bachelor’s Degree in Computer Science, Computer Information Systems, Data Science, and/or equivalent related training/experience.
- Experience: 8+ years in information/digital/data technology delivering/supporting large-scale data/digital solutions; 4+ years managing people; 3+ years in health sciences industry desired.
- Recruit, grow, and lead high-performing teams across data engineering, data analytics, data science, and product management.
- Own the R&D digital strategy and portfolio; prioritize investments against scientific objectives.
- Define and scale the R&D AI and data science strategy for high-ROI use cases with success criteria and measurable scientific impact.
- Deliver $30M+ R&D data and digital programs; lead cross-functional teams for end-to-end solutions accelerating discovery through regulatory submission.
- Own the R&D data and digital roadmap; integrate portfolio priorities with GxP, data integrity, and data privacy; establish governance and audit readiness.
- Govern and enforce standard data architecture, metadata, and FAIR principles; implement quality controls, lineage, and stewardship.
- Build and operationalize self-service data products and insight platforms; use product-centric agile delivery with UX, backlog hygiene, and release discipline.
- Partner with IT on enterprise operating model (capacity planning, SLAs, incident/problem management, vendor performance, cost optimization).
- Define and track KPIs; socialize results to drive adoption and continuous improvement.
- Orchestrate cross-domain data integration (ELN/LIMS interoperability, automated experiment workflows, standardized pipelines).
- Launch communities of practice and training; embed responsible AI practices.
Requirements:
- Education: Bachelor’s Degree in Computer Science, Computer Information Systems, Data Science, and/or equivalent related training/experience.
- Experience: 8+ years in information/digital/data technology delivering/supporting large-scale data/digital solutions; 4+ years managing people; 3+ years in health sciences industry desired.