R&D AI & Insights Leader—Analytics Strategy

ACADIA Pharmaceuticals Inc.

San Francisco (CA)

On-site

USD 192,000 - 240,000

Full time

14 days+
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Benefits offered by this job

Medical insurance
401(k) match
Stock purchase plan
Paid vacation
Paid holidays
Parental leave

Job summary

ACADIA Pharmaceuticals Inc. seeks a Director, R&D AI, Insights & Analytics to lead strategy and execution of data, analytics, AI, and insights across R&D.

This senior leader will transform how data informs trial design, governance, and decision-making, delivering scalable AI-enabled solutions. You will partner with R&D leadership, Enterprise AI, and IT to define roadmaps, build modern data platforms, and measure business value.

Qualifications

  • Bachelor’s degree in a relevant field; advanced degree preferred.
  • 10+ years in R&D analytics, data strategy, or related areas.
  • Experience in pharmaceutical/biotech life sciences.
  • Experience leading data governance programs (ownership, stewardship, metadata, data quality).
  • Experience with data lake/lakehouse/cloud data strategies and platform selection.

Responsibilities

  • Define and execute the R&D insights, analytics, AI, and data capability roadmap.
  • Lead R&D data governance framework and data quality standards.
  • Develop dashboards and predictive analytics to improve trial performance.
  • Translate use cases into scalable data products with measurable value.
  • Partner with IT and external vendors on platform design and deployment.

Skills

R&D analytics
AI/ML
Data governance
Cloud platforms
Cross-functional leadership
Strategic planning
Travel flexibility

Education

Bachelor’s degree
Advanced degree preferred

Tools

Databricks
Snowflake
Microsoft Fabric
AWS
Azure
Metadata/catalog tools

Job description

ACADIA Pharmaceuticals Inc. seeks a Director, R&D AI, Insights & Analytics to lead strategy and execution of data, analytics, AI, and insights across R&D.

This senior leader will transform how data informs trial design, governance, and decision-making, delivering scalable AI-enabled solutions. You will partner with R&D leadership, Enterprise AI, and IT to define roadmaps, build modern data platforms, and measure business value.

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