Director, Enterprise Decision Support (Hybrid) - Executive VC Administrative Offices Washington University in St. Louis - 3.9 St. Louis, MO Job Details Full-time $96,000 - $169,300 a year 11 hours ago Benefits Commuter assistance Caregiver leave Employee assistance program 403(b) Qualifications Financial forecasting Master's degree in business administration Operational analysis 7 years Economics Data visualization software proficiency Statistics Financial model construction Master of Health Administration Market analysis Business strategy analysis Bachelor's degree in statistics Technical documentation Bachelor's degree in finance Enterprise software Master of Public Health Writing skills Healthcare Administration Academic institution experience Business intelligence report generation Bachelor's degree in economics Dynamic financial modeling ROI Finance SQL Demand forecasting analysis Business intelligence tools Bachelor's degree in engineering Data management Clinical information systems 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:

Job Location/Working Conditions Normal office environment. Physical Effort Typically sitting at a desk or table. Equipment Office equipment. 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 External Applicant FAQ . Accommodation If you are unable to use our online application system and would like an accommodation, please email or call the dedicated accommodation inquiry number at 314-935-1149 and leave a voicemail with the nature of your request. All qualified individuals must be able to perform the essential functions of the position satisfactorily and, if requested, reasonable accommodations will be made to enable employees with disabilities to perform the essential functions of their job, absent undue hardship. Pre-Employment Screening All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening. Benefits Statement Personal Up to 22 days of vacation, 10 recognized holidays, and sick time. Competitive health insurance packages with priority appointments and lower copays/coinsurance. Take advantage of our free Metro transit U-Pass for eligible employees. WashU provides eligible employees with a defined contribution (403(b)) Retirement Savings Plan, which combines employee contributions and university contributions starting at 7%. Wellness Wellness challenges, annual health screenings, mental health resources, mindfulness programs and courses, employee assistance program (EAP), financial resources, access to dietitians, and more! Family We offer 4 weeks of caregiver leave to bond with your new child. Family care resources are also available for your continued childcare needs. Need adult care? We've got you covered. WashU covers the cost of tuition for you and your family, including dependent undergraduate-level college tuition up to 100% at WashU and 40% elsewhere after seven years with us. For policies, detailed benefits, and eligibility, please visit: https://hr.wustl.edu/benefits/ EEO Statement Washington University in St. Louis is committed to the principles and practices of equal employment opportunity. It is the University's policy to provide equal opportunity and access to persons in all job titles without regard to race, ethnicity, color, national origin, citizenship (where prohibited by federal law), age, religion, sex, sexual orientation, gender identity or expression, disability, protected veteran status, or genetic information.