SVP, Clinical Data Transformation

The Senior Vice President (SVP), Clinical Data Transformation Officer is the senior executive responsible for defining, leading, and executing the enterprise-wide clinical transformation strategy powered by AI that drives clinical excellence, operational performance, population health, and value‑based care outcomes across Atlantic Health.

This leader blends the organizational strategic vision, deep customer focus, domain knowledge and collaboration with technical expertise – that includes understanding AI architecture, data foundations, model lifecycles, cybersecurity, governance, and the economics of AI systems. 

This leader oversees the full lifecycle of clinical data from acquisition and integration (primarily through Epic) to advanced analytics, predictive modeling, and actionable insights ensuring that data is transformed into measurable improvements in patient care, quality, safety, and financial performance. The Vice President, Chief Medical Information Officer (CMIO) and nursing informaticists report to this role along with a dotted line reporting of the VP IT Applications.

The SVP partners closely with clinical, operational, and technology leaders to build a modern analytics ecosystem, advance data literacy, and embed analytics into decision‑making at all levels of the organization.

Key Responsibilities

Enterprise Analytics Strategy & Leadership

• Develop and execute a comprehensive data analytics strategy aligned with the health system’s clinical, operational, and financial goals. 
• Develop the data acquisition and governance archetype to evaluate how AI reshapes business models, enhances consumer experience, and creates competitive dynamics not just efficiency. 
• Aligns AI investments with long-term enterprise strategy. 
• Serve as the executive champion for data-driven decision-making, fostering a culture of transparency, accountability, and continuous learning. February 2026
• Partners with the VP, Data Analytics on long-term planning for data infrastructure, governance, and advanced analytics capabilities (AI/ML, NLP, predictive modeling). 
• Advise the EVP - Chief Medical Officer, EVP – Chief Information and Digital Officer, and other senior leaders on analytics opportunities, risks, and investments
  

Leadership & Oversight of Clinical Informatics

• Provide strategic leadership and executive oversight to the CMIO, ensuring alignment of clinical informatics initiatives with enterprise analytics priorities and clinical transformation goals.
• Guide the development and optimization of clinical decision‑support tools, documentation workflows, and technology‑enabled care models that enhance quality, safety, and clinician experience.
• Establish governance structures and performance expectations that integrate informatics, data strategy, and operational needs across the health system.
• Foster collaboration among clinical, IT, and operational teams to translate clinical requirements into actionable data and technology solutions.
  

Clinical Data & Epic Analytics Oversight 

• Oversee the extraction, integration, and optimization of clinical data from Epic (Clarity, Caboodle, Cosmos, SlicerDicer, Healthy Planet).
• Ensure data accuracy, timeliness, and reliability to support clinical quality, patient safety, and regulatory reporting.
• Partner with Epic analysts, IT, and clinical informatics teams to enhance data capture, workflows, and reporting capabilities.
• Drive the development of dashboards, scorecards, and analytic tools that support clinicians, administrators, and operational leaders.
  

Advanced Analytics & Innovation

• Lead teams responsible for data science, predictive analytics, machine learning, and AI-driven clinical insights.
• Develop models that support risk stratification, readmission prediction, clinical deterioration alerts, population health management and resource utilization forecasting.
• Evaluate emerging technologies and analytics platforms; lead pilots and enterprise-scale implementations.

Data Governance, Quality, & Compliance

• Establish and oversee clinical data governance frameworks, including data standards, stewardship, and metadata management.
• Understands regulatory frameworks (U.S Executive Orders, EU AI Act, and sector rules). 
• Knows how to evaluate model transparency, explainability, and auditability.
• Ensure compliance with HIPAA, CMS, Joint Commission, and other regulatory requirements
• Implement robust data quality programs to ensure accuracy, completeness, and consistency across all clinical and operational datasets.

Cybersecurity & AI Security Awareness

• Leader understands data poisoning, prompt injection, model extraction and supply-chain vulnerabilities
• Ensures secure model deployment
  

Operational & Performance Analytics

• Provide analytics leadership for clinical operations, patient flow, throughput, staffing optimization, and care variation reduction.
• Support service line leaders with actionable insights that improve cost, quality, and patient experience.
• Oversee analytics for value-based care, ACO performance, and population health initiatives.
  

Population Health & Quality Analytics

• Partner with Population Health, Care Management, and Quality teams to develop analytics that support chronic disease management, care variation, integration of health equity initiatives, and quality measure performance (HEDIS, CMS Stars, Vizient, etc.).
• Ensure analytics support both fee-for-service and value-based care strategies.

Team Leadership & Organizational Development

• Lead and develop high-performing teams across data engineering, analytics, data science, and reporting.
• Build a system-wide analytics community of practice and elevate data literacy across clinical and administrative teams.
• Manage budgets, staffing, vendor relationships, and enterprise analytics investments.

Salary range: $442,396 - $827,307 base only; excludes all incentives.

Education

• Master’s or doctoral degree in Data Science, Health Informatics, Biostatistics, Public Health, Computer Science, or related field.
• Clinical background (MD, RN, PharmD) required.

Experience

• 15years of progressive leadership experience in healthcare analytics, clinical informatics, or enterprise data strategy.
• Proven success leading analytics in a large healthcare system, academic medical center, or integrated delivery network.
• Deep experience with Epic data structures and analytics tools (Clarity, Caboodle, SlicerDicer, Healthy Planet).
• Demonstrated ability to lead large, multidisciplinary teams and manage complex, multi-hospital analytics environments.
• Track record of delivering measurable improvements in clinical quality, operational efficiency, and financial performance.

Technical & Domain Expertise
 

• Expertise in clinical data models, healthcare interoperability (HL7, FHIR), and data warehousing. 
• Strong understanding of healthcare quality metrics, regulatory reporting, and value-based care analytics. 
• Proficiency with modern analytics platforms (SQL, Python/R, cloud data platforms, visualization tools). 
• Experience with AI/ML, predictive modeling, and real-time clinical decision support. 
• Experienced understanding in model training, tuning, and evaluation. 
• Knows how to monitor for model drift, bias, and performance degradation

Leadership & Interpersonal Skills

• Executive presence with the ability to influence across clinical, operational, and technical domains. 
• Exceptional communication skills, able to translate complex analytics into actionable insights. 
• Strategic thinker with strong change management and organizational transformation capabilities. 
• Collaborative, mission-driven, and committed to improving patient outcomes through data