Director, R&D AI, Insights & Analytics

Position Summary The Director, R&D AI, Insights & Analytics will lead strategy and execution of data, analytics, artificial intelligence, and insights capabilities across the R&D organization. Primary Responsibilities Define and execute the R&D insights, analytics, AI, and data capability roadmap. Lead R&D data governance (ownership, stewardship, ontology, metadata, lineage, business glossary, data quality, FAIR principles, semantic consistency). Establish consistent definitions, metrics, semantic standards, and data quality expectations. Partner with Enterprise IT and data engineering on modern R&D data platforms (data lake/lakehouse/cloud). Provide leadership for architecture, platform, technology, and vendor evaluations (scalability, security, interoperability). Build clinical development benchmarking (start-up, enrollment, site performance, cycle times, data quality). Develop dashboards, predictive analytics, and decision support for enrollment, site selection, trial execution, portfolio oversight. Identify and implement AI/ML and intelligent automation opportunities to accelerate trials. Translate R&D use cases into scalable products with success metrics and drive adoption. Lead assessments, process/capability mapping, gap analyses, and future-state roadmaps. Collaborate across R&D functions to identify high-value data/analytics opportunities. Manage external partners/vendors within approved budgets. Present strategies and outcomes to senior leadership; monitor emerging technologies. Education/Experience/Skills Bachelor’s degree required (Data Science, CS, Engineering, Life Sciences or related); advanced degree preferred. 10+ years in R&D analytics/data strategy/clinical development analytics/AI-enabled solutions/digital transformation. Pharmaceutical/life sciences industry experience. Drug development lifecycle knowledge and R&D functions. Data governance leadership (FAIR, metadata/lineage, quality standards). Experience with data lake/lakehouse/data fabric/cloud strategies. Working knowledge: Databricks, Snowflake, Microsoft Fabric, AWS, Azure, semantic layer, metadata/catalog tools. Clinical performance metrics/benchmarking and operational dashboards. AI/ML, predictive analytics, intelligent automation. Process mapping, capability assessments, gap analyses, roadmap development. Regulated environments/clinical standards: GxP, CDISC, SDTM, ADaM, FHIR. Ability/willingness to travel domestically/internationally. Benefits (US-based Employees) Competitive base, bonus, and new hire/ongoing equity packages. Medical, dental, vision; employer-paid life, disability, business travel, and EAP. 401(k) match 1:1 up to 5%; Employee Stock Purchase Plan. 15+ vacation days; 13–15 paid holidays; 10 days paid sick time; paid parental leave; tuition assistance. #J-18808-Ljbffr Scorpion Therapeutics