Director, AI Solutions & Implementation

Strategy & Opportunity Identification:

• Partner directly with functional leaders across Enterprise Operations to identify, analyze, and quantify the most significant opportunities for AI-driven value creation (e.g., cost reduction, service improvement, revenue generation).
• Develop and maintain a strategic AI roadmap and portfolio of initiatives, ensuring alignment with overarching business objectives.
• Create compelling business cases for prioritized AI projects, clearly articulating the expected ROI and operational benefits.

Implementation & Execution:

• Lead the end-to-end lifecycle of AI projects, from concept and design through to implementation, scaling, and ongoing optimization.
• Act as the primary operational liaison with the IT AI team and external vendors, ensuring seamless collaboration and alignment on technology standards, governance, and project execution.
• Oversee the development of detailed implementation plans, managing project timelines, risks, and dependencies to ensure successful delivery.

Leadership & Capability Building:

• Build, lead, and mentor a high-performing central AI team that serves as a Center of Excellence for the operations organization.
• Design and launch an "AI Champions" program to identify and develop AI talent embedded within the operational functions, fostering a culture of grassroots innovation and building our decentralized capabilities.
• Act as a transformational leader and evangelist for AI, educating stakeholders at all levels on the potential of AI and driving adoption of new tools and processes.

Innovation & Governance:

• Stay at the forefront of advancements in AI, machine learning, and automation, particularly within the operational and healthcare domains.
• Evaluate and manage relationships with third-party AI technology providers, from initial sourcing and selection to performance management.
• Ensure all AI solutions are developed and deployed ethically and responsibly, in close partnership with our IT governance and ethics committees.

• Bachelor’s degree in Business, Computer Science, Engineering, Information Systems, Data Science, or related field. (Required)

• Master’s degree in Business Administration (MBA), Artificial Intelligence, Data Science, Analytics, or related field. (Preferred)

• Experience using enterprise AI or generative AI tools. (Required)

• Familiarity with workflow automation, low-code/no-code platforms, or robotic process automation (RPA). (Required)

• Understanding of data analytics concepts and tools used to support operational decision-making. (Required)

• 10+ years of experience in a leadership role related to data science, AI, technology strategy, or operational excellence, with a proven track record of deploying large-scale solutions in an enterprise environment.

• Deep understanding of operational functions (e.g., logistics, supply chain, customer service, lab operations).

• Strong business acumen with experience building business cases and measuring ROI for technology initiatives.

• Experience with a diverse range of AI solutions, including third-party products, custom-built models, and generative AI applications.

• Demonstrated success in leading and managing high-performing technical or cross-functional teams.

• No direct reports but consults and coaches Citizen Programmers

• Open to remote; hybrid preferred.