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Senior Director, Applied AI, Design & Innovation

Job in California, Moniteau County, Missouri, 65018, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-31
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Analyst, AI Business & Operations, Data Scientist
Salary/Wage Range or Industry Benchmark: 190000 - 260000 USD Yearly USD 190000.00 260000.00 YEAR
Job Description & How to Apply Below
Location: California

  • Define and own the multi-year Applied AI roadmap for Clinical Development & Operations
  • Build, scale, and lead a center-of-excellence team spanning data science, ML engineering, GenAI product development, and AI delivery management
  • Serve as the executive voice of Applied AI to Senior Leadership, R&D governance forums, and external partners
  • Lead development of predictive enrollment models that improve forecasting accuracy
  • Champion integration of RWD/RWE into trial design, feasibility, and patient identification workflows
  • Partner with Clinical Operations, Clinical Data Sciences, Biostatistics, Safety, Regulatory, and Digital to ensure AI solutions are designed for adoption, not just deployment
Requirements
  • Bachelor's degree with 14+ years of relevant scientific discipline such as Life Sciences, Information Technology, Computer Science, Pharmacy, Data Science, Business or related field OR 12+ years of relevant experience with an advanced degree or higher
  • Experience leading strategic and complex scientific, operational, and analytical initiatives that support program and study design
  • Demonstrated experience shaping and advancing AI, analytics, digital, or business transformation initiatives in a regulated environment
  • Strong understanding of how to evaluate AI and advanced analytics use cases for business impact, feasibility, scalability, adoption, and operational fit
  • Experience translating business, clinical, and operational needs into scalable technology, analytics, or AI-enabled solutions
  • Experience defining KPI, value, and ROI frameworks for innovation, digital, or AI initiatives
  • Understanding of data, platform, and integration considerations required to deploy digital and AI-enabled capabilities in a complex enterprise environment
Core Competencies

Demonstrates expertise in defining and executing multi-year Applied AI roadmaps, leading cross-functional teams in data science and AI delivery management, and integrating real-world data into clinical trial processes. Proven ability to translate complex business and operational needs into scalable AI solutions while ensuring alignment with regulatory standards.

Highest-signal resume keywords
  • Applied AI Roadmap Development
  • Predictive Enrollment Models
  • AI Solution Integration
  • KPI and ROI Frameworks
  • Regulated Environment Experience
ATS Optimization Keywords Hard Skills
  • Data Science
  • Machine Learning Engineering
  • GenAI Product Development
  • AI Delivery Management
  • Predictive Analytics
  • Business Transformation
  • Operational Fit Evaluation
  • Scalable Technology Solutions
  • Clinical Trial Design
  • Advanced Analytics
Soft Skills
  • Leadership
  • Strategic Thinking
  • Collaboration
  • Communication
  • Stakeholder Engagement
Industry Keywords
  • Life Sciences
  • Clinical Operations
  • Clinical Data Sciences
  • Biostatistics
  • Regulatory Compliance
  • Digital Transformation
  • Real-World Data
  • Real-World Evidence
  • Operational Initiatives
  • Complex Enterprise Environment
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Position Requirements
10+ Years work experience
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