Director, R&D AI, Insights & Analytics

About Acadia Pharmaceuticals

Acadia is committed to turning scientific promise into meaningful innovation that makes the difference for underserved neurological and rare disease communities around the world. Our commercial portfolio includes the first and only FDA-approved treatments for Parkinson’s disease psychosis and Rett syndrome. We are developing the next wave of therapeutic advancements with a robust and diverse pipeline that includes mid- to late-stage programs in Alzheimer’s disease psychosis and Lewy body dementia psychosis, along with earlier-stage programs that address other underserved patient needs.

At Acadia, we’re here to be their difference.

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.

• 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…