Associate Director, Operations AI Adoption

Company Description

About Abb Vie

Abb Vie'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 including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about Abb Vie, please visit us at  Follow @abbvie on Linked In, Facebook, Instagram, X and You Tube.

As Associate Director, Operations AI Adoption, you are responsible for driving AI and digital transformation adoption and governance across Operations ensuring alignment with enterprise AI priorities. You lead cross-Operations adoption processes, including AI and digital transformation, change management activities, communication strategies and forums. You are partnering with site and function SLT members, AI Directors and AI Engineers to intake, scope, and prioritize new use cases.

The role serves as a key interface to Operations site and above site functional VPs, directors, and technical leaders across operations. You create adoption frameworks and processes to support use case evaluation, prioritization, delivery readiness, post-delivery sustainability and growth. You are working with business and technical partners to ensure advancements within AI and digital maturity; performance measures and internal AI governance expectations are met.

Responsibilities:

• Drive AI Adoption and governance across Operations, ensuring alignment to enterprise AI strategy, decision-making forums, and cross-functional priorities.
• Develop communication strategies and materials, lead Operations AI benchmarking programs. provide clear, concise updates to senior leadership, including the Operations SLT and AI Steer Co, to support transparency, escalation, and decision making.
• Serve as a key interface with the business, coordinating inputs, feedback, dependencies, and follow-up actions across Operations driving sustainable adoption of AI and digital transformation investments.
• Support the annual PLAN and LRP processes for AI initiatives, partnering with AI Directors and AI Engineers to intake, assess, and prioritize new use cases and investment opportunities.
• Create and continuously improve frameworks, governance standards, and internal processes for use case scoping, prioritization, business case development, and delivery readiness.
• Support evaluation and selection of external vendors and partners by defining assessment criteria, facilitating cross-functional reviews, and ensuring alignment to business needs, governance requirements, and sustainable adoption strategies.
• Partner with AI Directors, AI Engineers, and business stakeholders to define initial value estimates, success metrics, and assumptions for new AI use cases.
• Establish and manage routine mechanisms for tracking performance progress, value realization, risks, issues, and decisions, and communicate insights to relevant stakeholders.
• Identify process improvement opportunities that strengthen AI adoption, change management, maturity, and scalability across Operations.

Qualifications:

• Bachelor’s degree or equivalent in business, engineering, data science, computer science, life sciences, or a related field; an advanced degree is preferred.
• 5 Years of Program/Project Management Experience
• 8+ years’ experience at the intersection of strategy, operations and technology within the pharmaceutical or biotechnology industry.
• Experience in pharmaceutical manufacturing and operations.
• Working knowledge of AI/ML concepts and ability to apply to varied business settings
• Experience driving adoption, change management and influencing organizational culture for technology-enabled and/or business use cases.
• Demonstrated ability to assess, scope, and prioritize opportunities, translate business needs into structured initiatives, and support roadmap development.
• Experience building business cases, defining value estimates, success metrics, and tracking mechanisms for strategic or technology initiatives.
• Strong leadership, stakeholder…