• Define multiyear DS/ML strategy and prioritize a cross-team roadmap • Build and scale a high-performing team of cross-functional experts • Ship reliable real-time and batch models • Establish model governance, documentation, and observability • Stand up on-call practices, incident response, post-mortems, and SLOs • Scale an experimentation program with clear guardrails • Set credible and inspiring long-term research direction for data scientists • Align with Product, Risk/Trading, Marketing, and Compliance