Director, R&D AI, Insights & Analytics
Job in
San Diego, San Diego County, California, 92101, USA
Listed on 2026-08-20
Listing for:
Acadia Pharmaceuticals
Full Time
position Listed on 2026-08-20
Job specializations:
-
IT/Tech
Data Science Manager, Data Analyst, Data Engineering, AI Engineer (Applied/Software)
Job Description & How to Apply Below
Director, R&D AI, Insights & Analytics
The Director, R&D AI, Insights & Analytics will lead the strategy and execution of data, analytics, artificial intelligence, and insights capabilities across the R&D organization. This highly visible leadership role will drive the transformation of how data is leveraged throughout the drug development lifecycle, enabling faster clinical trial execution, stronger data governance, more informed decision-making, and scalable AI-driven innovation.
Partnering closely with R&D leadership, Enterprise AI, Enterprise IT, and external partners, this leader will shape the future of R&D data and analytics by defining roadmaps, advancing modern data platforms, and delivering measurable business value through data-driven solutions.
Primary Responsibilities- Define and execute the R&D insights, analytics, AI, and data capability roadmap aligned with R&D priorities and enterprise data and AI strategies
- Lead the R&D data governance framework, including data ownership, stewardship, ontology, metadata, lineage, business glossary, data quality standards, FAIR data principles, and enterprise-wide semantic consistency
- Establish consistent definitions, metrics, semantic standards, and data quality expectations across R&D to improve trust, reuse, and comparability of information
- Partner with Enterprise IT and data engineering teams to define business requirements and support the design and implementation of modern R&D data platforms, including data lake, lakehouse, and cloud-based solutions
- Provide R&D leadership and subject matter expertise for architecture, platform, technology, and vendor evaluations, ensuring scalability, security, interoperability, and business alignment
- Build and operationalize clinical development benchmarking capabilities, including study start-up, patient enrollment, site performance, cycle times, data quality, and other key development metrics
- Develop dashboards, predictive analytics, and decision-support capabilities that improve patient enrollment, site selection, trial execution, portfolio oversight, and clinical development performance
- Identify, prioritize, and implement opportunities to accelerate clinical trials and R&D processes through AI, machine learning, predictive analytics, intelligent automation, and AI-enabled solutions
- Partner with Enterprise AI and Enterprise IT teams to translate R&D use cases into scalable products, define business requirements and success metrics, and support deployment, adoption, and value realization
- Lead current-state assessments, process mapping, capability mapping, gap analyses, and future-state roadmap development to support R&D transformation and operating model improvements
- Collaborate across Clinical Development, Clinical Operations, Research, Translational Medicine, Data Management, Biostatistics, Regulatory Affairs, Safety, and other R&D functions to identify high-value data and analytics opportunities
- Manage external partners, contractors, and vendors to deliver analytics, governance, benchmarking, and transformation initiatives within approved budgets
- Present strategies, recommendations, progress, risks, and business outcomes to senior leadership, governance forums, and key stakeholders
- Monitor emerging data, analytics, AI, and life sciences technologies and drive innovation and experimentation initiatives that create measurable value across R&D
- Other duties as assigned
- Bachelor's degree in Data Science, Computer Science, Engineering, Life Sciences, or a related field required; advanced degree preferred
- 10+ years of progressively responsible experience in R&D analytics, data strategy, clinical development analytics, AI-enabled solutions, digital transformation, or related disciplines
- Experience with in the pharmaceutical, biotechnology, or life sciences industry
- Strong knowledge of the drug development lifecycle and R&D functions, including Clinical Development, Clinical Operations, Research, Translational Medicine, Data Management, Biostatistics, Regulatory Affairs, and Safety
- Experience establishing and leading data governance programs, including data ownership, stewardship, ontology,…
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