Describe impact, prioritization, and stakeholder management

Behavioral interview (Hiring Manager)

You are interviewing for a data/ML role. Answer the following behavioral questions using concrete examples from your work.

1. Project deep-dive
   • Describe one project you worked on end-to-end (problem, constraints, what you built, and how it was used in production).
   • What was the single biggest impact you drove?
2. Metrics and impact quantification
   • What metrics did you use to define success (primary metric + supporting/diagnostic metrics + guardrails)?
   • If your work involved a model or automation, estimate the business value (e.g., “How much money did it save per month?”). Explain your assumptions and calculation method.
3. Prioritization
   • How do you handle competing priorities and ambiguous requests? Walk through a real situation where you had to decide what to do first.
4. Cross-functional collaboration
   • Which teams do you collaborate with most often (e.g., Product, Eng, Sales/Ops, Finance, Legal, Data Eng)?
   • Which partnership has been most effective for you and why?
5. Earning trust with new stakeholders
   • When partnering with a new stakeholder, how do you build credibility and align on goals, metrics, and expectations?
6. Metric design experience
   • Describe a time you designed or re-designed a metric/scorecard/dashboard. How did you ensure it was actionable, robust to gaming, and correctly interpreted?

Provide answers that include context, your specific actions, and measurable outcomes.