Director, AI Use Case Lead - 1 of 2

Role Summary

Director, AI Use Case Lead. The role is located in East Hanover, NJ and cannot be remote.

The AI Use Case Lead acts as an AI product owner and catalyst for change, bridging technical expertise and business acumen. You will lead ideation and execution of AI projects from concept to implementation, ensuring solutions are scalable, compliant, and tailored to the company’s needs. You will collaborate across research, development, manufacturing, and commercial sectors to ensure AI initiatives align with organizational goals and deliver tangible value.

Responsibilities

• As an agile product owner, lead the ideation of new AI-based products or solutions, bringing innovative ideas into tangible, market-ready offerings
• Evaluate the feasibility of use cases based on data quality, and organizational readiness
• Create a detailed plan for the AI use case lifecycle, from ideation to pilot
• Lead new AI use cases through stage gates (e.g., initial intake, proof-of-concept approval, minimum viable product approval, full scale build out)
• Work with departments such as marketing, customer engagement, market access, patient support and medical affairs to understand their pain points and requirements
• Work with AI teams to design scalable, compliant, and effective AI solutions tailored to the use case
• Collaborate with cross-functional teams to set priorities and manage the product lifecycle
• Serve as a bridge between technical teams (data scientists, engineers) and business teams, ensuring clear communication and understanding
• Advocate for AI adoption and helping stakeholders adapt to new tools and processes
• Define and pressure-test value cases, and structure sprints to begin development of new product ideas
• Support the business case development for wider adoption of AI technology by capturing success stories and key business metrics during pilot and collaborate with other teams to drive broader adoption

Qualifications

• Essential: A minimum of 8 years of experience in tech development in the pharma industry
• Essential: Degree in Computer Science, Data Science, Artificial Intelligence, or related field; advanced degrees (Master's or Ph.D.) preferred
• Essential: Experience managing complex projects, including planning, execution, and delivery, with a focus on AI or technology-driven projects
• Essential: Ability to balance stakeholder interests with project goals, ensuring successful AI implementation and adoption
• Essential: Ability to work effectively with cross-functional teams, including R&D, IT, and business units, to drive AI initiatives
• Essential: Excellent verbal and written communication skills to articulate complex AI concepts to non-technical stakeholders
• Essential: Ability to translate business needs into technical requirements
• Essential: Understanding of prototype development process
• Essential: Demonstrated leadership skills to guide and motivate teams, manage conflicts, and drive change
• Essential: Understanding of regulatory requirements and compliance issues related to AI in the pharmaceutical industry

Skills

• Product ownership
• AI project lifecycle management
• Cross-functional collaboration
• Stakeholder management
• Communication of technical concepts to non-technical audiences

Education

• Bachelor’s degree required; advanced degree preferred (Master’s or Ph.D.)

Additional Requirements

• Location: East Hanover, NJ (onsite)