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SVP, Clinical Data Transformation

Job in Morristown, Morris County, New Jersey, 07960, USA
Listing for: Atlantic Health System
Full Time position
Listed on 2026-06-03
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Security
Job Description & How to Apply Below
Category:
Strategy

Job Schedule:

Full-Time

Posted Date: T22:06:19+00:00

Job Shift:

Minimum Salary (Hourly Rate):

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 life cycles, 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, Slicer Dicer, 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…
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