• Lead the execution of enterprise‑wide data discovery & classification for both unstructured data (files, email, collaboration platforms, endpoints, SaaS) and structured data (databases, data warehouses, analytics and AI platforms). • Lead data protection controls for Generative AI platforms (e.g., Microsoft Copilot, enterprise chat, custom LLM solutions) to prevent unintended data disclosure and misuse. • Implement safeguards to ensure only appropriately classified and authorized data is available for AI prompts, responses, training, or retrieval‑augmented generation (RAG). • Identify and mitigate data overexposure risks, including: excessive permissions and oversharing in collaboration platforms, public or broadly accessible cloud storage, file servers and databases, sensitive data leakage through prompts or outputs, autonomous or agentic workflows acting beyond approved scope, and shadow AI and unsanctioned model usage. • Support data lifecycle governance, including retention, archival, legal hold, and secure disposal for both human and AI‑accessible data. • Drafts configuration manuals, operating procedures, reports, and system hardening guidelines. • Provides guidance in the application and reporting of data protection technology performance metrics. • Establish and maintain continuous data mapping and inventory to understand where sensitive data resides, how it is accessed, and how it flows across systems and integrations. • Partner with cross-functional teams—including IT, Compliance, HR, and Legal—to ensure adherence to data protection standards. • Performs other job-related duties as assigned or apparent.