Director, Enterprise Decision Support (Hybrid) - Executive VC Administrative Offices

University of Washington: CoMotion

$96K — $169K *
Healthcare
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in finance, economics, accounting, statistics, data analytics, engineering, or a related quantitative field.
  • Seven years of experience in decision support, FP&A, strategy or management consulting, healthcare finance, business intelligence, data analytics, or higher education administration.
  • Experience with market and service-line sizing, capital project business cases, or program economics in a complex matrixed environment.

Responsibilities

  • Support development of decision-ready business cases including opportunity sizing and financial analysis.
  • Own the analytical mechanics of business cases, including modeling and scenario testing.
  • Source and validate data from various enterprise systems before analysis.
  • Establish and maintain standard modeling conventions and documentation.
  • Review and quality-check deliverables for accuracy and defensibility.
  • Partner with various leaders to define decision questions and metrics.
  • Translate complex analyses into clear materials for leadership discussions.

Benefits

  • Normal office environment with typical desk work.
  • Opportunity to work in a dynamic academic medical center setting.
Full Job Description
Location
ST. LOUIS, MO 63130 Scheduled Hours
37.5

Position Summary
Supports the Senior Director, Enterprise Decision Support & COO Administration in developing business cases, conducting data analysis, and supporting strategic planning across academic, clinical, medical school, and administrative domains. Builds financial and operational models, sizes opportunities, and prepares analyses that help senior leaders evaluate options and make informed decisions. Contributes to the consistency, neutrality, and analytical quality of the team's work.

Job Description

Primary Duties & Responsibilities:

  • Support development of decision-ready business cases, including opportunity sizing, volume and demand forecasting, pro forma financials, ROI/NPV/payback, and break-even analysis
  • Own the analytical mechanics of business cases, including baseline construction, driver-based models, scenario and sensitivity testing, and articulation of key assumptions and their sources
  • Source, validate, and integrate data across WashU enterprise systems (financial, student, clinical, HR, and external benchmark or market data) and reconcile discrepancies before analysis reaches leadership
  • Establish and maintain consistent assumption sets, modeling conventions, templates, and documentation standards across the decision-support portfolio
  • Review and quality-check deliverables for accuracy, methodology, and defensibility
  • Partner with academic, clinical, medical school, and administrative leaders to frame decision questions, define options, and identify the metrics that will determine the answer
  • Translate technical analysis into concise materials and recommendations to support enterprise councils, Cabinet, and Board discussions

Working Conditions:

JobLocation/WorkingConditions

  • Normalofficeenvironment.

PhysicalEffort

  • Typicallysittingatadeskortable.

Equipment

  • Officeequipment.

The above statements are intended to describe the general nature and level of work performed by people assigned to this classification. They are not intended to be construed as an exhaustive list of all job duties performed by the personnel so classified. Management reserves the right to revise or amend duties at any time.

Required Qualifications

Education:

Bachelor's degree


Certifications/Professional Licenses:

No specific certification/professional license is required for this position.


Work Experience:

Relevant Experience (7 Years)


Skills:

Not Applicable


Driver's License:

A driver's license is not required for this position.

More About This Job

Required Qualifications:

  • Bachelor's degree in finance, economics, accounting, statistics, data analytics, engineering, or a related quantitative field.
  • Seven years of experience in decision support, FP&A, strategy or management consulting, healthcare finance, business intelligence, data analytics, or higher education administration.
  • Experience with market and service-line sizing, capital project business cases, or program economics in a complex matrixed environment.

Preferred Qualifications:

  • Advanced degree (MBA, MHA, MPP, MPH, MS in a quantitative field, or similar).
  • Experience in an R1 university, academic medical center, or health system.
  • Familiarity with enterprise systems such as Workday, Epic/Clarity, or comparable ERP and EHR data environments.

Preferred Qualifications

Education:

Master's degree


Certifications/Professional Licenses:

No additional certification/professional licenses unless stated elsewhere in the job posting.


Work Experience:

No additional work experience unless stated elsewhere in the job posting.

Skills:

Business Intelligence (BI), Capital Project Analysis, Data Analytics, Enterprise Systems, Executive Presenting, Financial Modeling, Financial Modeling in Excel, Financial Planning and Analysis (FP&A), Healthcare Financial Management, Higher Education Administration, Management Consulting, Management Decision Support, Microsoft Power Business Intelligence (PBI), Operational Models, Oral Communications, Project Economics, Structured Query Language (SQL), Tableau (Software), Written Communication

Grade
G16

Salary Range
$96,000.00 - $169,300.00 / Annually

The salary range reflects base salaries paid for positions in a given job grade across the University. Individual rates within the range will be determined by factors including one's qualifications and performance, equity with others in the department, market rates for positions within the same grade and department budget.

Questions

For frequently asked questions about the application process, please refer to our .

Accommodation

If you are unable to use our online application system and would like an accommodation, please emailor call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request.

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