University Hospital, Newark NJ-posted 9 days ago
Full-time • Executive
Newark, NJ
501-1,000 employees

Under the guidance and direction of the Chief Medical Officer, is a hands‐on leadership role responsible for driving the development, governance, quality & integrity controls and execution of enterprise‐wide data and analytics initiatives. Collaborates with the Medical Director of Informatics and UH executive leadership to create a data‐driven culture by developing a framework of support, education, and training to drive data literacy across UH and measurable business outcomes.

  • Responsible for driving development, governance, quality, integrity controls, and execution of enterprise-wide data and analytics initiatives.
  • Collaborates with the Medical Director of Informatics and UH executive leadership to: Create a data-driven culture.
  • Develop a framework for support, education, and training to improve data literacy.
  • Achieve measurable business outcomes.
  • Partners with the Medical Director of Informatics to develop and implement a UH-wide data governance framework.
  • Accountable for decision-making on data policies and standards.
  • Manages and implements processes, workflows, documentation, and tools to: Ensure data availability.
  • Improve data accuracy and reliability.
  • Reduce risk.
  • Support better decision-making.
  • Designs and maintains data models and dashboards as directed by senior leadership to track and report key performance indicators (KPIs).
  • Maintain an inventory of all data sources across UH. Collaborates with IT to ensure data alignment and quality
  • Master’s degree in Computer Science, Data Science, Health Informatics, Business Administration, or a related field required
  • Minimum of 7 years of progressively responsible leadership experience in: Data strategy
  • Enterprise analytics
  • Data governance within a complex organization (preferably healthcare)
  • Ability to lead enterprise-wide data initiatives and implement data governance frameworks
  • Skilled in guiding cross-functional teams and converting complex data into actionable insights for operational, clinical, financial, and strategic outcomes
  • Hands-on proficiency with: Business intelligence and visualization tools: Power BI, Tableau, Qlik
  • Enterprise databases and integration tools: SQL Server, Oracle, PostgreSQL, SSIS, Informatica, Talend, Azure Data Factory
  • Cloud-based data warehousing: Azure Synapse, Snowflake, AWS Redshift, Google BigQuery
  • Programming and analytics tools: Python, R, Spark, SAS
  • Data governance and quality platforms: Collibra, Alation, Informatica Data Quality
  • Healthcare-specific data sources: Epic (Clarity/Caboodle), claims systems, financial/cost datasets, quality benchmarking platforms
  • Ability to mentor and develop data analysts
  • Skilled in cultivating data literacy across clinical and operational teams
  • Experience partnering with senior leadership to ensure integrity, reliability, and strategic use of enterprise data assets
  • Medical & Prescription Drug Coverage
  • Dental & Vision Insurance
  • Health Savings Account (HSA) & Flexible Spending Account (FSA)
  • Short- & Long-Term Disability Insurance
  • Pension Plan
  • Pet Insurance
  • Employee Assistance Program (EAP)
  • Professional Development
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