Data Manager

The Data Manager maintains and enhances databases used for internal analytics and reporting; synthesizes payer claims and reimbursement data; and applies external benchmarks (e.g., Medicare fee schedules, Milliman data, HEDIS). The role develops and delivers reports and analyses using tools such as Excel and Tableau for finance leadership, medical staff, and payer-facing meetings. Working closely with technical and cross-functional partners, the Data Manager ensures data accuracy, standardization, and compliance with applicable privacy and security requirements while supporting high-quality, data-driven decision-making across MMC.

REQUIRED LEADERSHIP COMPETENCIES

1. Communication: Strong written and verbal skills are demonstrated in reports, correspondence and presentations. Communicates vision statement and medical center strategic priorities and demonstrates commitment toward their achievement.
2. Managed Care Knowledge:  Solid understanding of managed care reimbursement, fee schedules and coding/reimbursement policies. 
3. Analytical Skill:  Skilled in analyzing hospital reimbursement across all lines of business (commercial, Medicaid, Medicare) and professional fee schedules, and perform benchmark comparisons (i.e., Medicare).  Reviews both contractual allowed amounts and payments relative to hospital costs; identifies outlier payments and services that require custom rates; coordinates with peers in finance on contract performance
4. Problem Solving: Recommendations and decision making reflect strong analytical skills and focus on quality, cost containment, and impact of change on other departments
5. Customer Service Management: Continually reviews the service delivery process to exceed customer expectations. Is perceived as a role model by staff, peers in customer service leadership
6. Project Management: May participate in multidisciplinary task forces, committees and projects, demonstrating team spirit and ability to work with different internal customers. When leading a project team demonstrates the ability to bring together different views and skills toward timely and effective completion of project objectives
7. Professional Development: Participates in conferences, workshops, and other professional development activities to maintain licensure and/or remain professionally current with advances in field of expertise.

Data Analysis & Reporting (60%)

1. Identifies, defines, procures, synthesizes, and manages clinical, operational, and financial data from multiple sources, including internal hospital and professional finance systems, payer claims and eligibility data, Healthix, CMS, NYS Department of Health, and other external datasets to support MMC initiatives.
2. Prepares actionable analyses and reports to support managed care and value-based contracting, including trend analyses (volume, spend, unit cost, case mix, LOS), cost and utilization analyses, and benchmark comparisons; prepare reports using SQL server, Microsoft Access; assists in proposal development and contract renewals.
3. Works closely with clinical and operational areas to understand and model the financial impact of emerging clinical services, changes in delivery or site of care, and new care models; leads financial modeling for bundled payment arrangements for specific payers.
4. Develops, presents, and distributes analytical reports and summaries (e.g., Excel, Tableau) for finance leadership, medical staff, internal stakeholders, and payer-facing meetings.

Data Infrastructure Management (20%)

5. Maintains, enhances, and expands secure data environments and databases that integrate internal and external data sources, including managed care organizations, CMS, NYS DOH, and other partners, in support of analytics and reporting needs.
6. Recommends and implements data management process improvements, infrastructure enhancements, and content modifications to support new or evolving analytical, reporting, and compliance requirements.

Data Integration & Normalization (10%)

7. Consumes, integrates, and harmonizes data from diverse formats and systems; normalizes datasets and cross-references key data elements to ensure accuracy, consistency, and usability for downstream analytics.
8. Partners with Patient Financial Management, professional billing, digital health, and other teams to obtain data, model utilization, interpret contract terms (e.g., chargemaster limits, implant and pharmaceutical reimbursement), and audit billing for emerging services.

Collaboration & Insight Development (10%)

9. Collaborates with data analysts, technical partners, and cross-functional stakeholders to identify key insights, contextualize findings using external data sources (e.g., CMS Price Transparency, APCDs, CMS Compare), and support high-impact decision-making.
10. Maintains current knowledge of Maimonides data dictionaries and metadata; works with appropriate staff to communicate significant changes, assess reporting impacts, ensure HIPAA compliance, and safeguard data security and integrity in accordance with Maimonides CSO policies.

Education:

Bachelor’s Degree required.  Master’s Degree in computer science/information technology a plus.

Experience:

• Minimum of 2 years of professional experience working with Microsoft SQL Server and Microsoft Access
• Strong proficiency in Power BI and/or Tableau
• Experience with programming languages such as R, Python, Ruby on Rails, or Visual Basic is a plus
• Familiarity with medical terminology, coding systems, and claims data
• Experience in healthcare, value-based care, or New York State Medicaid programs preferred

Skills:

• Strong analytical and problem-solving skills
• Intellectual curiosity and attention to detail
• Ability to work with unstructured or complex datasets
• Effective communication skills, with the ability to translate technical concepts into clear, understandable insights
• Adaptability and flexibility in a dynamic work environment