Chief Data and Artificial Intelligence Officer

Baystate Health•Springfield, MA

10d•Onsite

About The Position

Baystate Health is seeking a visionary Chief Data & Artificial Intelligence Officer (CDAIO) to lead the enterprise data, analytics, and AI strategy for a mission-driven healthcare system. This is a transformative executive role responsible for harnessing the power of data and artificial intelligence to improve patient outcomes, advance health equity, enhance operational performance, and accelerate value-based care across Baystate Health New England. As a key member of the executive leadership team, the CDAIO will shape how data and AI are embedded into clinical care, operations, and strategic decision-making—positioning Baystate Health as a leader in digital, data-driven healthcare.

Requirements

Bachelors Degree, required
15+ years of experience in IT, data, analytics, or digital leadership within complex healthcare environments, required
10+ years of IT or business leadership, with at least 5 years in a senior leadership role
Proven success leading large-scale data and AI transformations
Deep expertise in data governance, analytics platforms, and AI/ML applications
Strong financial and operational acumen, including capital planning and ROI realization
Demonstrated ability to influence executive stakeholders and drive cross-functional alignment
Executive presence with experience advising senior leadership and Boards

Responsibilities

Define and execute a bold enterprise vision for data and AI—balancing innovation with governance, scalability, and real-world clinical impact.
Build a culture where data is trusted, accessible, and actionable—and where AI is deployed responsibly to drive measurable outcomes.
Develop and execute a comprehensive enterprise data and AI strategy aligned with organizational priorities.
Establish governance frameworks for data quality, stewardship, lifecycle management, and ethical AI use.
Ensure compliance with regulatory standards (HIPAA, HITECH, CMS).
Lead the development, scaling, and adoption of AI/ML solutions across clinical, operational, and financial domains.
Identify and prioritize high-impact use cases (e.g., predictive analytics, clinical decision support, automation).
Oversee model governance, validation, monitoring, and bias mitigation.
Partner with clinical leaders to embed analytics into workflows and improve patient outcomes.
Advance population health, risk stratification, and precision medicine initiatives.
Deliver insights that improve operational efficiency, throughput, and cost performance.
Collaborate with IT to design scalable, interoperable data platforms (cloud, data lakes, warehouses).
Ensure seamless integration across systems, including EHR platforms such as Epic.
Enable real-time data access across care settings.
Partner with academic and research organizations to advance clinical research and innovation.
Support grant-funded initiatives, clinical trials, and translational research.
Evaluate emerging technologies and strategic partnerships.
Build and lead a high-performing data, analytics, and AI organization.
Foster a culture of data literacy, innovation, and accountability.
Educate executive leadership and the Board on data and AI strategy, capabilities, and risks.
Establish enterprise data governance and privacy frameworks.
Oversee cybersecurity alignment, risk management, and compliance.
Manage budgets, capital planning, and ROI for data and AI investments.
Lead vendor strategy, partnerships, and performance management.