Lead the architecture and development of secure, scalable GenAI platforms, including LLM applications, agentic workflows, RAG systems, evaluation frameworks, observability, multi-tenant infrastructure, security controls, developer APIs, and deployment tooling. Optimize model performance, cost, latency, and reliability while integrating providers and frameworks such as OpenAI, Bedrock, MCP, and LangGraph. Develop software using C#, Java, JavaScript, Go, or Python.

Leads client-facing data science and analytics initiatives, translating complex marketing and media data into actionable business narratives. Develops measurement strategies, including test/holdout incrementality, informs acquisition and retention decisions, scales analytics best practices, and manages analyst teams. Partners with Sales, Client Services, Operations, and other stakeholders while supporting predictive and adaptive AI/ML solutions. The role requires strong client communication, strategic leadership, analytics expertise, and proficiency with Python, SQL, Tableau, and related tools.