Head of R&D Data and Digital

Essential Duties and Responsibilities:
- Recruit, grow, and lead teams across data engineering, data analytics, data science, and product management.
- Own the R&D digital strategy and portfolio; prioritize investments and sequence multi-year initiatives to maximize value, speed, and compliance.
- Define and scale the R&D AI and data science strategy for high-ROI use cases with clear success criteria and measurable scientific impact.
- Execute delivery of $30M+ R&D data and digital programs; lead cross-functional teams to deploy end-to-end solutions accelerating discovery through regulatory submission with stage gates, risk management, and benefits realization.
- Own the R&D data and digital roadmap, integrating GxP, data integrity, and data privacy requirements; establish governance and ensure audit readiness.
- Govern and enforce data architecture, metadata, and FAIR principles; implement quality controls, lineage, and stewardship.
- Build self-service data products and insight platforms; deliver product-centric agile with strong UX, backlog hygiene, and release discipline.
- Partner with IT on operating model for enterprise-scale platforms: capacity planning, SLAs, incident/problem management, vendor performance, and cost optimization.
- Define and track KPIs; socialize results and lessons learned to drive adoption and continuous improvement.
- Orchestrate cross-domain data integration via ELN/LIMS interoperability, automated experiment workflows, and standardized pipelines.
- Launch communities of practice and training; embed responsible AI practices for safe, confident scientist adoption.

Requirements:
- Bachelor’s Degree in Computer Science, Computer Information Systems, Data Science, and/or equivalent training/experience.
- 8+ years delivering/supporting large-scale data/digital solutions; 4+ years managing people; 3+ years in health sciences industry desired.