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