Director of AI Strategy & Operations

Company Description

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Job Description

The Director of AI Strategy and Operations is responsible for establishing and championing AbbVie’s enterprise AI strategy, governance model, and priority use cases in the application of AI across functions (including drug discovery, clinical development, commercial and operations).  This position leads the AI Strategy and Execution Team of cross-functional leaders focused on AI at AbbVie.

Responsibilities:

• Enterprise AI strategy: Develop and execute an enterprise AI strategy aligned with AbbVie’s broader business objectives.
• Operational Excellence: Oversee the establishment and execution of operational frameworks for AI initiatives across functions, ensuring seamless integration across business units.
• GenAI Expertise: Apply and expand knowledge of Generative AI (GenAI) to drive innovative solutions within biopharma applications.
• Cross-Functional Collaboration: Work closely with internal stakeholders to champion AI initiatives, ensuring they are well-integrated with AbbVie’s strategic vision.
• Measurement and Reporting: Implement systems to monitor the success of AI initiatives, providing regular updates to senior leadership.
• AI talent. training and change management: Partner with HR to enhance AI understanding across the organization through targeted training and change management programs.

Qualifications

• Bachelor’s degree in Business (or Management), Life Sciences, Computer Science, Engineering, or related discipline, or equivalent work experience is required; a Master’s degree (or equivalent) in a computational field is highly desired.
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