Cardinal Health
Vice President, Artificial Intelligence (AI)
Cardinal Health, Phoenix, Arizona, United States, 85003
Overview
Headquartered in Dublin, Ohio, Cardinal Health is a global healthcare services and products company. We provide customized solutions for hospitals, healthcare systems, pharmacies, ambulatory surgery centers, clinical laboratories, physician offices and patients in the home. We are a distributor of pharmaceuticals and specialty products; a global manufacturer and distributor of medical and laboratory products; an operator of nuclear pharmacies and manufacturing facilities; and a provider of performance and data solutions. Working to be healthcare's most trusted partner, our customer-centric focus drives continuous improvement and leads to innovative solutions that improve the lives of people every day. 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.
Responsibilities
Strategic Leadership & Vision:
Develop and execute a comprehensive AI strategy aligned with the organization's overall business objectives. Strategic Leadership & Vision:
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. Strategic Leadership & Vision:
Maintain an enterprise perspective, identifying opportunities to leverage AI for competitive advantage and operational efficiency. Strategic Leadership & Vision:
Drive continuous improvement and innovation within the AI COE, staying abreast of the latest advancements in AI and related technologies. Strategic Leadership & Vision:
Apply critical thinking to complex problems and make strategic decisions, even when dealing with ambiguity and incomplete information. Team Leadership & Talent Development:
Build, lead, and mentor a high-performing team of AI specialists, including data scientists, machine learning engineers, and AI architects Team Leadership & Talent Development:
Develop and implement talent planning strategies to attract, retain, and develop top AI talent. Team Leadership & Talent Development:
Foster a collaborative and innovative culture within the AI COE, encouraging knowledge sharing and experimentation. Stakeholder Management & Communication:
Act as a dynamic and versatile leader who can generate excitement around our AI strategy with leadership and the broader organization. Stakeholder Management & Communication:
Effectively communicate the AI strategy and roadmap to stakeholders at all levels of the organization (developers to CEO / Board of Directors). Stakeholder Management & Communication:
Build strong relationships with business unit leaders, IT partners, and other key stakeholders to drive AI adoption and alignment. Stakeholder Management & Communication:
Present complex technical concepts in a clear and concise manner, tailoring the message to the specific audience. Stakeholder Management & Communication:
Demonstrate influence and navigate the corporate landscape to secure resources and support for AI initiatives. AI Project Execution & Delivery:
Oversee the entire lifecycle of AI projects, from ideation and proof-of-concept to deployment and ongoing maintenance. AI Project Execution & Delivery:
Ensure the successful execution of AI projects, adhering to timelines, budgets, and quality standards. AI Project Execution & Delivery:
Balance delivery of a portfolio across a large enterprise AI Project Execution & Delivery:
Manage global resources, including FTEs, contractors, and external partners AI Project Execution & Delivery:
Apply financial acumen to develop business cases, manage budgets, and track the ROI of AI investments. Operational Excellence & Governance:
Establish and maintain operational metrics to track the performance and impact of AI solutions. Operational Excellence & Governance:
Implement robust AI governance and AI ethics frameworks to ensure responsible and compliant AI practices. Operational Excellence & Governance:
Oversee IT risk, security, and controls related to AI systems and data. Operational Excellence & Governance:
Drive simplification and efficiency in AI operations. Partnerships & Collaboration:
Collaborate effectively with partner roles across the organization, including IT, SOX, EA, and OpEx teams. Partnerships & Collaboration:
Maintain a strong understanding of business processes and industry trends to identify opportunities for AI innovation. Technology & Innovation:
Maintain a strong understanding of digital technologies and trends, with a focus on AI, machine learning, data analytics, and cloud computing. Technology & Innovation:
Promote a culture of innovation and experimentation within the AI COE, encouraging the exploration of new AI techniques and technologies. Technology & Innovation:
Ensure the security and appropriate controls are in place for AI systems and data.
Qualifications
Executive Mindset:
Demonstrated ability to think strategically, execute effectively, and drive continuous improvement. Strong social / emotional intelligence and critical thinking skills. Leadership Experience:
Proven experience building and leading an enterprise AI COE for a large organization. Communication Skills:
Excellent written and verbal communication skills, with the ability to simplify complex concepts and present them effectively to diverse audiences at all levels of the organization. Influence & Change Management:
Ability to influence stakeholders at all levels of the organization and build strong working relationships. Experience with change management methodologies to guide stakeholders through change. This person will need to be a dynamic leader who is able to guide the organization through change, drive adoption of AI, and work cross-functionally to make this happen at an enterprise-scale. Financial Acumen:
Strong understanding of financial principles, including budgeting, business case development, and ROI analysis. Project / Program Management:
Proven ability to manage complex AI projects and programs, delivering results on time and within budget. The person should have meaningful / transformative high-impact examples of use cases they've implemented and an ability to help Cardinal Health accelerate their AI journey and value realization. Technical Expertise:
Understanding of AI and machine learning principles, techniques, and technologies. Technical Expertise:
Strong knowledge of data analytics, data governance, and data visualization. Technical Expertise:
Familiarity with cloud computing platforms (e.g., GCP) and AI development tools. Technical Expertise:
Knowledge of AI ethics and responsible AI principles. Technical Expertise:
Experience with MLOps practices and tools. Industry Experience:
Healthcare experience preferred Education:
Bachelor's degree in Computer Science, Artificial Intelligence, or a related field required. Master's degree or Ph.D. preferred.
Anticipated base pay range: $200,000 - $265,000. Bonus eligible: Yes.
Benefits
Medical, dental and vision coverage Paid time off plan Health savings account (HSA) 401k savings plan Access to wages before pay day with myFlexPay Flexible spending accounts (FSAs) Short- and long-term disability coverage Work-Life resources Paid parental leave Healthy lifestyle programs Note:
The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity.
Application window anticipated to close:
8/8/2025 Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity / expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law. Privacy notice: To read and review this privacy notice click here ()
#J-18808-Ljbffr
Headquartered in Dublin, Ohio, Cardinal Health is a global healthcare services and products company. We provide customized solutions for hospitals, healthcare systems, pharmacies, ambulatory surgery centers, clinical laboratories, physician offices and patients in the home. We are a distributor of pharmaceuticals and specialty products; a global manufacturer and distributor of medical and laboratory products; an operator of nuclear pharmacies and manufacturing facilities; and a provider of performance and data solutions. Working to be healthcare's most trusted partner, our customer-centric focus drives continuous improvement and leads to innovative solutions that improve the lives of people every day. 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.
Responsibilities
Strategic Leadership & Vision:
Develop and execute a comprehensive AI strategy aligned with the organization's overall business objectives. Strategic Leadership & Vision:
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. Strategic Leadership & Vision:
Maintain an enterprise perspective, identifying opportunities to leverage AI for competitive advantage and operational efficiency. Strategic Leadership & Vision:
Drive continuous improvement and innovation within the AI COE, staying abreast of the latest advancements in AI and related technologies. Strategic Leadership & Vision:
Apply critical thinking to complex problems and make strategic decisions, even when dealing with ambiguity and incomplete information. Team Leadership & Talent Development:
Build, lead, and mentor a high-performing team of AI specialists, including data scientists, machine learning engineers, and AI architects Team Leadership & Talent Development:
Develop and implement talent planning strategies to attract, retain, and develop top AI talent. Team Leadership & Talent Development:
Foster a collaborative and innovative culture within the AI COE, encouraging knowledge sharing and experimentation. Stakeholder Management & Communication:
Act as a dynamic and versatile leader who can generate excitement around our AI strategy with leadership and the broader organization. Stakeholder Management & Communication:
Effectively communicate the AI strategy and roadmap to stakeholders at all levels of the organization (developers to CEO / Board of Directors). Stakeholder Management & Communication:
Build strong relationships with business unit leaders, IT partners, and other key stakeholders to drive AI adoption and alignment. Stakeholder Management & Communication:
Present complex technical concepts in a clear and concise manner, tailoring the message to the specific audience. Stakeholder Management & Communication:
Demonstrate influence and navigate the corporate landscape to secure resources and support for AI initiatives. AI Project Execution & Delivery:
Oversee the entire lifecycle of AI projects, from ideation and proof-of-concept to deployment and ongoing maintenance. AI Project Execution & Delivery:
Ensure the successful execution of AI projects, adhering to timelines, budgets, and quality standards. AI Project Execution & Delivery:
Balance delivery of a portfolio across a large enterprise AI Project Execution & Delivery:
Manage global resources, including FTEs, contractors, and external partners AI Project Execution & Delivery:
Apply financial acumen to develop business cases, manage budgets, and track the ROI of AI investments. Operational Excellence & Governance:
Establish and maintain operational metrics to track the performance and impact of AI solutions. Operational Excellence & Governance:
Implement robust AI governance and AI ethics frameworks to ensure responsible and compliant AI practices. Operational Excellence & Governance:
Oversee IT risk, security, and controls related to AI systems and data. Operational Excellence & Governance:
Drive simplification and efficiency in AI operations. Partnerships & Collaboration:
Collaborate effectively with partner roles across the organization, including IT, SOX, EA, and OpEx teams. Partnerships & Collaboration:
Maintain a strong understanding of business processes and industry trends to identify opportunities for AI innovation. Technology & Innovation:
Maintain a strong understanding of digital technologies and trends, with a focus on AI, machine learning, data analytics, and cloud computing. Technology & Innovation:
Promote a culture of innovation and experimentation within the AI COE, encouraging the exploration of new AI techniques and technologies. Technology & Innovation:
Ensure the security and appropriate controls are in place for AI systems and data.
Qualifications
Executive Mindset:
Demonstrated ability to think strategically, execute effectively, and drive continuous improvement. Strong social / emotional intelligence and critical thinking skills. Leadership Experience:
Proven experience building and leading an enterprise AI COE for a large organization. Communication Skills:
Excellent written and verbal communication skills, with the ability to simplify complex concepts and present them effectively to diverse audiences at all levels of the organization. Influence & Change Management:
Ability to influence stakeholders at all levels of the organization and build strong working relationships. Experience with change management methodologies to guide stakeholders through change. This person will need to be a dynamic leader who is able to guide the organization through change, drive adoption of AI, and work cross-functionally to make this happen at an enterprise-scale. Financial Acumen:
Strong understanding of financial principles, including budgeting, business case development, and ROI analysis. Project / Program Management:
Proven ability to manage complex AI projects and programs, delivering results on time and within budget. The person should have meaningful / transformative high-impact examples of use cases they've implemented and an ability to help Cardinal Health accelerate their AI journey and value realization. Technical Expertise:
Understanding of AI and machine learning principles, techniques, and technologies. Technical Expertise:
Strong knowledge of data analytics, data governance, and data visualization. Technical Expertise:
Familiarity with cloud computing platforms (e.g., GCP) and AI development tools. Technical Expertise:
Knowledge of AI ethics and responsible AI principles. Technical Expertise:
Experience with MLOps practices and tools. Industry Experience:
Healthcare experience preferred Education:
Bachelor's degree in Computer Science, Artificial Intelligence, or a related field required. Master's degree or Ph.D. preferred.
Anticipated base pay range: $200,000 - $265,000. Bonus eligible: Yes.
Benefits
Medical, dental and vision coverage Paid time off plan Health savings account (HSA) 401k savings plan Access to wages before pay day with myFlexPay Flexible spending accounts (FSAs) Short- and long-term disability coverage Work-Life resources Paid parental leave Healthy lifestyle programs Note:
The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity.
Application window anticipated to close:
8/8/2025 Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity / Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity / expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law. Privacy notice: To read and review this privacy notice click here ()
#J-18808-Ljbffr