Director of Decision Support - Decision Support - FT - Day

Position Status:

Full time

Shift:

Other (United States of America)

Hours per week:

40

Job Information
Exemption Status: Exempt

A Brief Overview
The Director of Decision Support leads the design, implementation, and continuous improvement of the health system's enterprise-wide decision support function. The role promotes a culture of data-driven decision making, ensuring the availability of accurate, timely, actionable insights to support operations, finance, strategic planning, and clinical decision processes. The Director collaborates closely with Finance, Strategy, Revenue Cycle, and Operations to develop a single source of truth, standardize analytical methodologies, and integrate financial, operational, and clinical data throughout the organization.

Education Qualifications

• Bachelor's Degree Finance, Buisiness Management, or closely related field Required
• Master's Degree Strongly preferred Preferred

Experience Qualifications

• 5 years In decision support, finance or analytics, preferably in healthcare Required
• 3 years In leadership or management experience with data management, statistical analysis, and leading or supervising analytical or decision support teams. Required
• Demonstrated experience designing, building, and implementing analytical tools, reporting systems, and decision support resources required. Required
• Demonstrated experience interpreting data, performing benchmarking, identifying trends, conducting barrier analysis, and presenting analytic results required. Required
• Demonstrated experience developing business cases, ROI analyses, and investment or pro forma modeling. Preferred
• Experience integrating analytics with Finance, Strategy, and Operations teams to support enterprise planning and forecasting, as well as coordinating complex analytical projects that require cross‑functional collaboration and timely completion. Preferred

Skills and Abilities

• Excel, Access, Powerpoint, Word and personal computer skills (Required proficiency)
• Information systems (Required proficiency)
• Financial reporting and analysis (Required proficiency)
• Financial reporting software packages (Required proficiency)
• Development and management of decision support systems (Required proficiency)
• Labor productivity systems (Required proficiency)
• Project/program financial analysis and proforma development (Required proficiency)
• Knowledge of Healthcare ERP systems (Workday, Epic) and Decision Support systems (Data Warehouse/Caboodle, Strata, Tableau, PowerBI) (Preferred proficiency)
• Excellent communication and interpersonal skills. (Required proficiency)
• Knowledge of principles and practices of health care financial planning and budgeting and health care operations. (Required proficiency)
• Understanding of health care productivity and resource management. (Required proficiency)

What you will do

• Promote a culture of data-driven decision-making and educate leaders on using actionable data to improve operational efficiency, mitigate compliance risks, and strengthen performance.
• Develop and implement analytical tools, performance metrics, statistical models, and reporting methodologies that support strategic and financial decision making across the organization.
• Create standardized processes for enterprise data requests, ensuring consistency, transparency of assumptions, and adherence to data governance and reporting standards.
• Lead the development, evaluation, and reporting of performance measures, benchmark comparisons, barrier analyses, and trend identification to support quality business outcomes.
• Design, maintain, and optimize self service dashboards, reporting tools, and operational/financial analytics.
• Interpret complex data sets and communicate insights using innovative and visually compelling formats appropriate for leadership audiences.
• Lead Decision Support staff, ensuring high-quality service, accurate analysis, on-time deliverables, and compliance with confidentiality and security regulations.
• Collaborate with Finance to define shared analytical methodologies, integrate financial/operational planning, enhance forecasting accuracy, and strengthen systemwide transparency.
• Develop financial and pro forma models for clinical program investment, capital planning, scenario forecasting, technology acquisition, and provider resource allocation.
• Partner with Strategic Planning for market data, with Revenue Cycle on payer strategies, and with operational leaders to support timely and aligned decision-making.
• Support enterprise data gover