Chief Data and Artificial Intelligence Officer

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.

RESPONSIBILITIES: The Chief Data & Artificial Intelligence Officer will define and execute a bold enterprise vision for data and AI—balancing innovation with governance, scalability, and real-world clinical impact.

Partnering closely with executive leaders across IT, clinical, and operational domains, you will build a culture where data is trusted, accessible, and actionable—and where AI is deployed responsibly to drive measurable outcomes.

Key Responsibilities

Enterprise Data & AI Strategy

• 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)

AI Innovation & Deployment

• 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

Clinical & Operational Impact

• 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

Data Architecture & Technology Enablement

• 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

Research, Innovation & Partnerships

• 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

Enterprise Leadership & Culture

• 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

Governance, Risk & Financial Stewardship

• 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

SCHEDULE:

• Full-time

LOCATION:

• 1 Monarch Place

• Springfield, MA

QUALIFICATIONS: 

• 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

Education:

Certifications:

Compensation

Note: The compensation range(s) in the table below represent the base salaries for all positions at a given grade across the health system. Typically, a new hire can expect a starting salary somewhere in the lower part of the range. Actual salaries may vary by position and will be determined based on the candidate's relevant experience. No employee will be paid below the minimum of the range. Pay ranges are listed as hourly for non-exempt employees and based on assumed full time commitment for exempt employees.

Minimum - Maximum

Equal Employment Opportunity Employer