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We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time.
Job Responsibility:
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
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
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
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
Requirements:
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
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
Nice to have:
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