Describe leading through stakeholder conflict and ambiguity
Overview
This question evaluates stakeholder management, leadership, ethical data practices, and risk assessment in data science projects, with emphasis on influencing without formal authority, handling ambiguity, and balancing data validity against launch timelines.
Describe a time you had to push back on a senior stakeholder to stop a rushed launch of a metric/report or experiment you believed was invalid. Include: exact dates, team size and roles, the decision at stake, what made the request risky (e.g., p-hacking, missing final review, non-latest data), the specific principles you used to influence without authority, the hard trade-offs you made, and the quantitative outcome. Then reflect on what you would change if you faced the same situation again and how you created long-term process fixes.