Vice President, Artificial Intelligence

What Data Science contributes to Cardinal Health

The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling.

Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems.

The Vice President, Artificial Intelligence (AI) will lead the Artificial Intelligence Center of Excellence (CoE). This is a critical leadership role responsible for leading the organization's AI strategy, fostering innovation, and ensuring the successful implementation of AI & GenAI solutions across the global enterprise. This individual will lead a team of AI specialists, collaborate with business unit leaders, and champion the adoption of responsible and ethical AI practices.

The ideal candidate will possess a blend of executive leadership, technical expertise, and business acumen, with a proven track record of building and scaling AI & GenAI capabilities within a complex large organization.

• Develop and execute a comprehensive AI strategy aligned with the organization's overall business objectives.

• Demonstrate thought leadership in the rapidly changing world of AI. This person should have great networks in the AI & GenAI space and knowledge of and experience in the changing technology. Additionally, they should have the ability to translate what this means to Cardinal Health so that they can bring concepts back to set strategic direction and unlock value for the enterprise.

• Maintain an enterprise perspective, identifying opportunities to leverage AI for competitive advantage and operational efficiency.

• Drive continuous improvement and innovation within the AI COE, staying abreast of the latest advancements in AI and related technologies.

• Apply critical thinking to complex problems and make strategic decisions, even when dealing with ambiguity and incomplete information.

• Build, lead, and mentor a high-performing team of AI specialists, including data scientists, machine learning engineers, and AI architects

• Develop and implement talent planning strategies to attract, retain, and develop top AI talent.

• Foster a collaborative and innovative culture within the AI COE, encouraging knowledge sharing and experimentation.

• Act as a dynamic and versatile leader who can generate excitement around our AI strategy with leadership and the broader organization.

• Effectively communicate the AI strategy and roadmap to stakeholders at all levels of the organization (developers to CEO/Board of Directors).

• Build strong relationships with business unit leaders, IT partners, and other key stakeholders to drive AI adoption and alignment.

• Present complex technical concepts in a clear and concise manner, tailoring the message to the specific audience.

• Demonstrate influence and navigate the corporate landscape to secure resources and support for AI initiatives.

• Oversee the entire lifecycle of AI projects, from ideation and proof-of-concept to deployment and ongoing maintenance.

• Ensure the successful execution of AI projects, adhering to timelines, budgets, and quality standards.

• Balance delivery of a portfolio across a large enterprise

• Manage global resources, including FTEs, contractors, and external partners

• Apply financial acumen to develop business cases, manage budgets, and track the ROI of AI investments.

• Establish and maintain operational metrics to track the performance and impact of AI solutions.

• Implement robust AI governance and AI ethics frameworks to ensure responsible and compliant AI practices.

• Oversee IT risk, security, and controls related to AI systems and data.

• Drive simplification and efficiency in AI operations.

• Collaborate effectively with partner roles across the organization, including IT, SOX, EA, and OpEx teams.

• Maintain a strong understanding of business processes and industry trends to identify opportunities for AI innovation.

• Maintain a strong understanding of digital technologies and trends, with a focus on AI, machine learning, data analytics, and cloud computing.

• Promote a culture of innovation and experimentation within the AI COE, encouraging the exploration of new AI techniques and technologies.

• Ensure the security and appropriate controls are in place for AI systems and data.

• Bachelor's degree in Computer Science, Artificial Intelligence, or a related field preferred. Master's degree or Ph.D. a…