Associate Director, AI Engagement & Design

Overview

A global biopharmaceutical company on a mission to Solve On, Incyte follows science to find solutions for patients with unmet medical needs. Through the discovery, development, and commercialization of proprietary therapeutics, Incyte has established a portfolio of first-in-class medicines for patients and a strong pipeline of products in Hematology, Oncology and Inflammation and Autoimmunity Headquartered in Wilmington, Delaware, Incyte has operations in North America, Europe, and Asia.

The AI Engagement & Design is a high-impact role responsible for architecting the future of sales performance through AI, advanced analytics, and innovative digital capabilities. This role sits at the intersection of technology and human performance, designing AI-enabled tools and insights that enhance learning effectiveness and accelerate capability development across the U.S. commercial field organization. This is a senior individual-contributor role with no direct reports
. Impact is delivered through design leadership, innovation, and influence
, working in close partnership with Sales Training, Coaching & Leadership Development, Field Analytics, Sales Reporting, and IT/Data teams to ensure AI capabilities are practical, compliant, and deeply integrated into enablement workflows.

• Design and implement AI-enabled innovations that strengthen sales training, including onboarding, continuous learning, and skills reinforcement
• Apply AI and digital learning tools to personalize training based on role, experience level, and performance signals
• Ensure AI-enabled training reinforces core selling skills, leadership behaviors, and compliance standards

• Design AI-supported tools that improve the quality, consistency, and effectiveness of coaching
• Enable leaders to use AI for:
• Coaching preparation and focus
• Identifying skill gaps and performance patterns
• Reinforcing training through coaching conversations
• Partner closely with Coaching & Leadership Development to ensure AI tools align with established coaching frameworks

• Identify and prioritize high-impact AI use cases that enhance training and coaching, such as:
• Skill diagnostics and readiness assessments
• Scenario-based learning and simulations
• Call reflection and feedback tools
• Translate advanced analytics into simple, trainer- and coach-friendly experiences

• Partner closely with:
• Head, Sales Training
• Coaching & Leadership Development
• Field Analytics & Ops
• Sales Reporting & Performance
• IT / Data & Digital teams
• Act as the design connector between technical teams and field enablement leaders
• Ensure AI solutions align with training curricula, coaching rhythms, and field workflows

• Design and lead pilots of AI-enabled training and coaching tools
• Gather structured feedback from trainers and field leaders to refine usability and impact
• Support scaling of effective AI capabilities through enablement and training channels

• Define success metrics for AI-enabled training and coaching, including:
• Adoption and engagement
• Skill reinforcement and behavior change
• Contribution to performance outcomes
• Partner with analytics teams to assess results and guide iteration

• Stay current on innovations in AI, learning science, coaching technology, and digital enablement
• Introduce modern, ethical, and scalable approaches that enhance training effectiveness
• Serve as an internal subject-matter expert on AI-driven engagement in training and coaching environments

• Senior individual contributor with enterprise-level influence
• No people management responsibilities
• High interaction with trainers, field leaders, enablement teams, and senior stakeholders

• Bachelor's degree required
• Advanced degree preferred (MBA, MS, Learning Science, Analytics, or related field)

• Experience:
  
  7-10+ years in Sales Enablement, Digital Strategy, Performance Consulting, or related experience with a proven track record of deploying AI/Machine Learning solutions in a commercial setting.
• Technical Fluency:
  Deep understanding of Generative AI (LLMs), prompt engineering, and how to apply data analytics to behavioral change.
• Industry Knowledge:
  Experience with in a U.S. commercial field organization (e.g., Pharma, Biotech, or Med Tech) is highly preferred, including…