Associate Director Forecasting US Oncology
Posted Oct 2, 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 presented forecast insights to senior commercial leaders. What made it land?
What they are checking: Whether they can present complex forecast insights so senior leaders understand and act on them, which is central to this role.
How do you develop the one direct report you would manage?
What they are checking: Whether they invest in coaching and developing a direct report, even when managing just one person alongside heavy analytical work.
What would you do
Actuals came in well below the LBE this month. How do you explain the variance to leadership?
What they are checking: Whether they can analyze and explain a miss clearly and calmly, which keeps leadership's trust in the forecast intact.
How do you handle a brand team that wants a more optimistic forecast than the data supports?
What they are checking: Whether they keep forecasts honest when brand teams want rosier numbers, since inflated forecasts lead to poor business decisions.
About the work
Walk me through how you would build a demand forecast for an oncology brand from patients to revenue.
What they are checking: Whether they can build an oncology forecast from patient numbers through to revenue, which is the standard method this team relies on.
How does forecasting a new launch differ from forecasting an in-line brand?
What they are checking: Whether they understand that launch and mature brands need different forecasting approaches, since launches have little history to draw on.
How do you move from gross demand to net revenue in a forecast?
What they are checking: Whether they understand gross-to-net drivers like rebates and chargebacks, because net revenue is what the business actually plans around.
How do you use syndicated data and primary research together in a forecast?
What they are checking: Whether they can blend syndicated data with primary research thoughtfully, giving a fuller and more reliable view of demand.
How do you harmonize forecasting models across several brands so they are consistent?
What they are checking: Whether they can bring consistency to models across brands, so leaders can compare forecasts with confidence and fewer surprises.
How would you build competitive events, like a new entrant, into an oncology forecast?
What they are checking: Whether they can model competitive events like new entrants, which can sharply change an oncology brand's expected performance.
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As published by AbbVie.