Associate Director, Regional AI Delivery Lead

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai’s human health care (hhc) mission. We’re a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer’s disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. The Regional AI Delivery Lead (Associate Director) is accountable for the end-to-end delivery, adoption, and performance of AI solutions within the Americas and EMEA regions. The role owns the regional AI portfolio, including identifying, prioritizing, and sequencing high-value use cases aligned to business and enterprise strategy. Acting as a “player-coach,” the individual leads the execution of AI solutions while guiding regional contributors and driving alignment with business stakeholders to ensure measurable outcomes and value realization. The role operates as the primary regional point of contact for AI delivery, influencing prioritization decisions, managing delivery capacity, and ensuring solutions meet business needs. The Regional AI Delivery Lead is accountable for ensuring that all solutions in-region operate effectively in production and comply with enterprise governance, security, and regulatory standards. Working within a global, matrixed delivery model, the role partners with Global AI Operations, Data & Analytics, and AI Governance teams to ensure alignment with enterprise platforms, standards, and priorities while adapting solutions to meet regional requirements. The role also provides critical oversight of third-party delivery within the region and contributes to cross-regional collaboration by sharing best practices, scaling successful solutions, and providing feedback to improve global frameworks and capabilities. Functional Responsibilities: 1. Regional AI Delivery & Portfolio Ownership Own the regional AI delivery portfolio, including identifying, prioritizing, and sequencing high-value use cases aligned to enterprise priorities. Translate business needs into scalable AI solutions using platforms such as Microsoft Copilot, ChatGPT Enterprise, and Databricks. Provide structured input into global prioritization and funding discussions. Solves complex regional challenges with incomplete information. 2. Solution Development & Execution (Player-Coach Model) Lead end-to-end delivery of AI solutions from concept through deployment. Develop prototypes, agents, and workflows where appropriate, while guiding SMEs and regional contributors. Provide hands-on support for complex or high-priority use cases. 3. Regional Accountability for AI Operations & Governance Serve as the accountable leader for ensuring AI solutions are running effectively within the region. Oversee AI Operations to ensure smooth handoffs into production, ongoing support, operational performance monitoring, and issue resolution. Partner with regional AI Governance to address region-specific regulatory requirements. 4. Third-Party Delivery Governance & Oversight Ensure all AI deliverables, within the region, meet enterprise quality, security, and architectural standards through review and governance mechanisms. Act as the escalation point for delivery quality, consistency, and compliance issues. Provide direct oversight for third-party consultants engaged through the AI Enablement function. Manage regional delivery capacity, including vendor utilization and resource allocation. 5. Stakeholder Engagement & Value Realization Act as the primary point of contact for AI delivery within the region. Facilitate prioritization discussions with functional leaders and translate demand into executable roadmaps. Align regional portfolio to business priorities and articulates trade-offs Ensure deployed solutions drive measurable productivity gains and business outcomes. Coach SMEs and business partners on AI solution development and adoption. 6. Cross-Regional Collaboration & Scaling Influence and adapt global AI architecture standards, delivery frameworks, and capability development. Collaborate with other Regional AI Delivery Leads to share reusable solutions and best practices adapting for local needs. Provide feedback to global teams on gaps in frameworks, tools, or standards. Operate effectively within a matrixed global delivery model. Qualifications: Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Data Science, Business, Engineering). 8+ years of experience in technology delivery, digital transformation, or product/program management. 2–3+ years delivering AI, automation, or advanced analytics solutions in an enterprise environment. Experience managing third-party vendors, consultants, or system integrators Hands-on experience with AI platforms (e.g., Microsoft Copilot, ChatGPT Enterprise, Databricks). Strong stakeholder management skills with the ability to influence across a matrixed organization. Experience operating in global delivery models with distributed teams. Must be able to work hybrid in our Nutley, NJ office 3 days per week (Tuesday, Wednesday and Thursday each week). Key Success Metrics: Number and quality of AI use cases successfully delivered within their regions. Adoption and sustained usage of deployed AI solutions. Measurable business value (e.g., productivity gains, cost savings, cycle time improvements). Speed and efficiency of delivery from intake to deployment. Stability and performance of AI solutions in-region. Timely identification and resolution of production issues. Adherence of all solutions (internal and third-party) to enterprise standards. Quality and consistency of third-party delivered solutions. Reuse of AI solutions across functions and regions. Reduction in rework due to standards enforcement. Effective transition of solutions to Global AI Operations with minimal issues. Eisai Salary Transparency Language: The annual base salary range for the Associate Director, Regional AI Delivery Lead is from :$173,700-$228,000 Under current guidelines, this position is eligible to participate in : Eisai Inc. Annual Incentive Plan & Eisai Inc. Long Term Incentive Plan. Final pay determinations will depend on various factors including but not limited to experience level, education, knowledge, and skills. Employees are eligible to participate in Company employee benefit programs. For additional information on Company employee benefits programs, visit . Certain other benefits may be available for this position, please discuss any questions with your recruiter. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information: Right To Work E-Verify Participation