AVP, AI & ML Applications

Incyte Corporation•Wilmington, DE

1d•Hybrid

About The Position

The Associate Vice President, AI/ML Applications leads a team of employees and contractors that designs and implements AI solutions for Incyte’s highest-priority opportunities, working with business areas including R&D, Commercial, and operational and functional teams. The role is part of the Enterprise Data and AI department, a global function building the company’s capabilities in data, analytics, computational sciences, and AI to enable learning, improve decisions and efficiency, and accelerate medicine development. The AVP sets the enterprise AI/ML capability roadmap and vision for agentic AI transformation; establishes investment priorities and leads build, buy, and partner decisions. The role oversees AI/ML and agentic AI development, establishes an operating model connecting customer-facing teams with AI solutions and platforms, and delivers high-return solutions across enterprise and business-area needs. It also leads AI governance and compliance in partnership with relevant stakeholders, develops team capability and enterprise AI enablement, advises as the senior technical expert on AI application development, and manages a $5–10 million budget.

Requirements

Experience leading teams that develop and deploy agentic AI, generative AI, and predictive/ML solutions at enterprise scale and in production within R&D, Commercial, and operational domains.
Excellent communication skills and ability to communicate technical topics to technical and non-technical audiences.
Advanced degree in computer science, applied mathematics, or a similar quantitative science; PhD preferred.
At least 10 years of relevant professional experience, including at least 5 years in a biomedical or life sciences setting.
At least 7 years of people-management experience.
Experience developing and participating in AI governance for a large enterprise.
Track record of leading high-impact, enterprise-scale AI projects and platforms with significant impact.
Demonstrated ability to be effective within a complex organizational structure.
Ability to manage executive-level stakeholder and partner expectations and interact professionally at all organizational levels.
Curiosity, service orientation, collaboration, and motivation by patient benefit.
Sound judgment in prioritizing competing demands.
Ability to develop talent within and outside the direct span of control.
Willingness to perform occasional hands-on work in addition to people management.
Strong ethical judgment and ability to represent the company’s and patients’ interests and mission.
Experience coaching teams and stakeholders on prioritization, presenting results persuasively and accurately, delivering difficult news, saying no when required, working proactively across groups, and identifying the business need behind requests in an enterprise context.
Willingness to understand diverse stakeholder cultures, motivations, and practices to enable consensus-based solutions.
Rigorous attention to accuracy, quality, and compliance.
Experience managing capital and operating budgets and stewarding resources effectively.
Self-awareness, professionalism, adaptability, and ability to lead through challenging situations.
Ability to think and act strategically at the enterprise level, putting company priorities ahead of individual team interests.

Nice To Haves

Relevant peer-reviewed publications in applied AI/ML.
At least 10 years of biotech or pharmaceutical experience.
Proven ability to build and leverage cross-functional and external relationships.
Direct experience delivering production-grade applications in roles including hands-on development, technical leadership, and architecture.

Responsibilities

Develop the enterprise AI/ML capability roadmap with business leaders and customer-facing EDAI teams.
Partner with the CDAIO, IT, Legal, Privacy, and other stakeholders to establish effective and ethical AI governance, policies, and guardrails.
Ensure AI solutions meet applicable regulatory, quality, and data privacy requirements, including GxP and computer system validation where relevant.
Set the vision for Incyte’s agentic AI transformation and prioritize investments based on opportunities.
Lead build, buy, and partner decisions for AI platforms and solutions.
Deliver high-ROI, area-specific and enterprise-scale AI solutions.
Oversee central AI/ML and agentic AI development teams.
Build a team and operating model connecting customer-facing EDAI teams with AI solutions, tools, and platforms.
Recruit, develop, and retain a high-performing AI/ML team while fostering innovation, operational excellence, and continuous improvement.
Evaluate opportunities and deliver solutions across Research, Development, Regulatory Affairs, Quality, Manufacturing, Supply Chain, International and US Commercial, HR, IT, Communications, and other business areas.
Oversee development of advanced AI training content and the enterprise AI-enablement program.
Serve as Incyte’s senior technical expert on AI application development.
Build and support an enterprise AI/ML community of practice.
Develop business-area strategy with business executive leaders and EDAI vertical teams.
Partner with engineering and IT to establish safely governed and configured AI solutions and appropriate compute infrastructure for AI workloads.
Evaluate and develop high-value external relationships and partnerships.
Manage a budget of $5–10 million.