Vice President, Clinical Technology UM Portfolio Management
Posted Aug 21, 2026 · We last checked this listing on Oct 6, 2026
Likely interview questions for this role
Written from this job description, not a generic list. Each one notes what the interviewer is really checking.
About your past
Tell me about a time you held a clinical technology vendor to an SLA they were missing.
What they are checking: Whether they enforce accountability with vendors using evidence and contract terms, not just escalation calls.
Walk me through an ROI framework you built for a technology investment and how leadership used it.
What they are checking: Whether they have tied technology spend to financial results in a way executives actually trusted.
Describe a product you led that clinicians actually adopted. What made it stick?
What they are checking: Whether they design around how clinical reviewers really work, since adoption decides whether investments pay off.
Tell me about a time an implementation slipped badly. What did you change afterward?
What they are checking: Whether they learn from delivery failures and adjust how they run end-to-end delivery.
What would you do
Where in the UM lifecycle, from intake to determination to correspondence, would you deploy AI first, and why there?
What they are checking: Whether they pick AI use cases by value and risk, keeping clinical judgment where it legally belongs.
Clinical leaders want one feature, operations wants another, and the budget covers only one this year. How do you decide?
What they are checking: Whether they can make and defend roadmap tradeoffs openly using strategy and data, not volume of complaints.
How do you present AI impact to senior leadership when the results are mixed?
What they are checking: Whether they report honestly on partial wins and failures instead of overselling to protect a program.
About the work
How would you set up governance for an enterprise UM technology portfolio that spans prior authorization, concurrent review and clinical correspondence?
What they are checking: Whether they can create decision rights and priorities across workflows that each have their own owners and vendors.
How would you measure whether an AI tool in prior authorization actually improved productivity and accuracy?
What they are checking: Whether they can design a fair before-and-after measure rather than accept vendor claims at face value.
What compliance risks worry you most when automating UM decisions, and how would you guard against them?
What they are checking: Whether they understand that adverse determinations need clinical review and that automation must stay auditable.
How would you structure the product development model so roadmap priorities stay tied to company strategy and market trends?
What they are checking: Whether they can build a repeatable process for product decisions rather than run everything by personal judgment.
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As published by Centene.