Government Healthcare Data Manager
Posted Sep 30, 2026 · We last checked this listing on Oct 5, 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 large health care data project where you defined the scope with the client and managed the data team.
What they are checking: Whether they have truly led data work end to end, including client scoping, not just written code for it.
Tell me about a time you developed a junior analyst on your team.
What they are checking: Whether they invest in people, since the role asks them to find growth opportunities for junior analysts.
How do you decide which data methodology is right for a new type of project you haven't done before?
What they are checking: Whether they reason from standards and the client's question rather than reusing old code by habit.
What would you do
You find a data anomaly that will change a rate-setting result for a state client. How do you explain it to them?
What they are checking: Whether they can explain the cause and impact of a data issue clearly to a government client without sounding defensive.
How do you explain to a client how their policy changes show up in the data?
What they are checking: Whether they can connect program decisions to data effects, which the posting names as part of educating clients.
An actuary wants the data cut one way and a clinician wants it another. How do you settle it?
What they are checking: Whether they can find a methodology that serves both needs and stays consistent with industry standards.
A deliverable is due to the state next week and processing is running behind. What do you do?
What they are checking: How they manage scope, people and client expectations when a schedule slips.
About the work
How do you validate a large Medicaid encounter or claims data set in SAS before analysts start using it?
What they are checking: Whether they have concrete validation steps, since bad source data quietly breaks every actuarial result built on it.
What are common data quality problems in state Medicaid managed care data, and how do you handle them?
What they are checking: Depth of real experience with government health data such as missing encounters, lag and inconsistent coding.
Walk me through how you'd structure SAS code so another analyst could review and rerun it next year.
What they are checking: Whether they write maintainable, documented programs that survive staff changes and audit scrutiny.
How do you protect sensitive health information while working with large data sets across a project team?
What they are checking: Their habits around HIPAA and data security, which is non-negotiable with government health data.
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As published by Marsh McLennan.