Executive Director, Internal AI Products & Development - Remote Eligible

Executive Director, Internal Ai Products & Development

CVS Health is seeking a highly experienced and strategic Executive Director, Internal AI Products & Development to lead the enterprise strategy, governance, and scaling of AI-powered workplace solutions. This role sits within the Digital Workplace organization and is accountable for advancing AI-driven productivity, operational efficiency, and innovation for colleagues across the company.

This leader will oversee a growing team focused on AI product strategy, engineering, architecture, and governance. The Executive Director will serve as an enterprise AI authority, partnering across business units to identify opportunities, evaluate needs, and deliver secure, compliant, and high-impact AI solutions in a highly regulated healthcare environment.

Key Responsibilities

Enterprise AI Strategy & Vision

• Define and execute a multi-year roadmap for internal AI-enabled products
• Identify scalable, enterprise-wide AI use cases aligned to strategic priorities
• Establish standards for AI solution architecture, model lifecycle management, and responsible AI practices
• Drive alignment with enterprise data, security, compliance, and privacy frameworks

AI Product Development & Technical Leadership

• Lead end-to-end lifecycle management of AI products (discovery, experimentation, model development, deployment, monitoring, scaling)
• Oversee implementation of generative AI, large language models (LLMs), machine learning, automation, and intelligent workflow solutions
• Ensure appropriate model governance, risk management, bias mitigation, and auditability
• Partner with enterprise architecture and cloud teams to operationalize AI platforms at scale
• Establish measurement frameworks to track adoption, performance, accuracy, and business ROI

Business Partnership & Enablement

• Serve as a trusted AI advisor to senior business leaders
• Assess business processes and identify automation and AI augmentation opportunities
• Lead structured intake and prioritization of AI initiatives
• Drive AI literacy and responsible usage across the enterprise

Thought Leadership & Governance

• Represent Digital Workplace in enterprise AI governance councils
• Promote ethical AI principles aligned with healthcare regulatory expectations
• Monitor emerging AI technologies and assess their enterprise applicability
• Position CVS Health as a leader in applied enterprise AI innovation

Required Qualifications

• 12+ years of experience in technology, digital product leadership, data science, or AI/ML domains
• 7+ years of direct experience leading AI, machine learning, or advanced analytics initiatives at enterprise scale
• Demonstrated experience deploying AI solutions in production environments, including model lifecycle management and MLOps practices
• Hands-on experience with generative AI technologies, including large language models (LLMs), prompt engineering strategies, AI copilots, or conversational AI platforms
• Strong understanding of AI architecture patterns, APIs, vector databases, embeddings, model orchestration frameworks, and cloud AI services
• Proven experience implementing AI governance frameworks, including model risk management, bias detection, explainability, and compliance controls
• Experience operating within regulated industries (healthcare, payer, pharmacy, financial services, or similar)
• Demonstrated ability to translate AI capabilities into measurable business value
• Experience leading cross-functional teams in large, matrixed organizations

Preferred Qualifications

• Experience implementing enterprise AI platforms (e.g., Azure OpenAI, AWS Bedrock, Google Vertex AI, or equivalent)
• Familiarity with data platforms, modern data engineering practices, and enterprise data governance
• Experience scaling AI solutions supporting 50,000+ users
• Advanced degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or related field
• Experience driving AI adoption programs and change management at scale

Minimum Education

• Bachelor's degree in Computer Science, Engineering, Data Science, Artificial Intelligence, Information Systems, or a related technical field OR equivalent combination of education and relevant executive-level experience

Preferred Education

• Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related technical discipline
• MBA or advanced business degree (preferred for candidates with strong enterprise strategy responsibilities)

Pay Range

The typical pay range for this role is: $131,500.00 - $303,195.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:

• Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.

• No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.

• Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.