Demonstrate leadership and ensure data compliance

Tell me about a time you led a team through a reorganization while delivering on an ML roadmap. How did you realign scope, reset timelines, manage stakeholders, and maintain team morale; what tradeoffs and metrics did you use to judge success? In addition, walk through how you ensure data compliance in ML pipelines that use user data: identifying and minimizing PII, consent and purpose limitation, regionalization and data residency (e.g., GDPR/CCPA/CPRA), retention/deletion policies, DSAR workflows, audit logging and access controls, DLP/redaction, sandboxing, vendor/data-sharing reviews, lineage and documentation, and preventing sensitive data leakage in training/evaluation. Provide specific incidents, decisions, and measurable outcomes.