SVP, Clinical Data Transformation

Atlantic Health SystemMorristown, NJ
3d

About The Position

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.

Responsibilities

  • Develop and execute a comprehensive analytics strategy aligned with the health system’s clinical, operational, and financial goals.
  • Serve as the executive champion for data-driven decision-making, fostering a culture of transparency, accountability, and continuous improvement.
  • 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.
  • 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.
  • 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.
  • 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.
  • Establish and oversee clinical data governance frameworks, including data standards, stewardship, and metadata management.
  • 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.
  • 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.
  • 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.
  • 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.

Benefits

  • Medical, Dental, Vision, Prescription Coverage (22.5 hours per week or above for full-time and part-time team members)
  • Life & AD&D Insurance.
  • Short-Term and Long-Term Disability (with options to supplement)
  • 403(b) Retirement Plan: Employer match, additional non-elective contribution
  • PTO & Paid Sick Leave
  • Tuition Assistance, Advancement & Academic Advising
  • Parental, Adoption, Surrogacy Leave
  • Backup and On-Site Childcare
  • Well-Being Rewards
  • Employee Assistance Program (EAP)
  • Fertility Benefits, Healthy Pregnancy Program
  • Flexible Spending & Commuter Accounts
  • Pet, Home & Auto, Identity Theft and Legal Insurance

Stand Out From the Crowd

Upload your resume and get instant feedback on how well it matches this job.

Upload and Match Resume

What This Job Offers

Job Type

Full-time

Career Level

Executive

Education Level

No Education Listed

Number of Employees

501-1,000 employees

© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service