Chief Data & AI Officer (CDAO)

Role

The Chief Data & Artificial Intelligence Officer (CDAO) is an executive leader responsible for enterprise data, analytics, and AI strategy at Michigan Medicine. The CDAO ensures data is trusted, accessible, governed, and translated into actionable intelligence while enabling scalable and responsible adoption of AI across clinical, operational, academic, and research domains. The role emphasizes platform enablement, distributed analytics, and strong governance.

Key Responsibilities

• Define and execute a comprehensive enterprise data and AI strategy aligned to clinical, operational, academic, and research priorities.
• Lead enterprise data governance including ownership/stewardship models, policies, standards, data quality, metadata, cataloging, lineage, classification, and access controls.
• Oversee data platforms, architecture, engineering, pipelines, integration, interoperability, scalable environments, and master data management.
• Manage clinical data infrastructure and optimize Epic Cogito integration and performance within the enterprise ecosystem.
• Enable distributed analytics and self-service BI by providing shared platforms, governed access, and tools for domain-based analytics.
• Lead enterprise AI strategy covering predictive analytics, ML/deep learning, generative AI, agent-based systems, and prioritization/scaling of high-impact use cases.
• Establish and lead MLOps, model deployment, monitoring, versioning, retraining, lifecycle management, and AI orchestration/agentic monitoring.
• Define and operationalize AI governance, ethics, transparency, bias detection/mitigation, accountability, and regulatory alignment.
• Promote data literacy, AI enablement, training, innovation sandboxes, and democratized experimentation in a governed environment (including enabling “vibe coding”).
• Provide cross-functional leadership and partnership with application, technology, clinical informatics, customer experience, research, and enterprise delivery teams.
• Lead financial planning, vendor and platform relationships, and build high-performing teams across data engineering, analytics, AI/ML, and governance.

Requirements

Required

• Bachelor’s degree in Data Science, Computer Science, Informatics, Engineering, or related field.
• 15+ years of experience in data, analytics, and/or AI leadership roles.
• 10+ years of leadership experience managing large, multidisciplinary teams.
• Demonstrated experience building and scaling enterprise data platforms and AI capabilities.
• Deep expertise in data architecture and engineering, analytics and BI, AI/ML, and modern data ecosystems.
• Proven ability to operate in complex, federated healthcare or academic environments.

Desired

• Master’s or PhD in Data Science, Informatics, Computer Science, Engineering, or related discipline.
• Experience in an academic medical center, health system, or research environment.
• Experience with Epic Cogito and healthcare data ecosystems.
• Track record of deploying AI at scale in research, academic, operational, or clinical settings.

Work Mode

• Listed as Hybrid; specific hybrid or remote eligibility is determined by the hiring department.

Additional Notes

• Background screening and pre-employment drug testing are required upon acceptance of a contingent offer.
• Benefits include comprehensive training and career development, retirement savings plans, paid time off, and family care support.