Chief Data and Artificial Intelligence Officer
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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
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
- Education:
- Bachelors Degree (Required)
- Certifications:
Benefits
Additional Information
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.
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