Lead for Platform Security & Data Privacy (CX)
Core
Design and implement comprehensive data privacy and access control architecture for multi-dimensional classification, dynamic permissions, and information barriers in AI and data pipelines.
Role type
Lead for Platform Security & Data Privacy (CX)
Builds
Privacy-preserving access controls, fine-grained data classification frameworks, and security boundaries for autonomous AI agents.
Domain
Information Security, Data Privacy, AI/ML Systems
Deliverable
production ML models | infrastructure
Required skills
Information security architecture, data privacy regulations (GDPR, CCPA), RBAC/ABAC systems, data classification methodologies, team leadership, cross-functional stakeholder influence, database and API architecture, Python development, NLP technologies.
Preferred skills
AI/ML systems privacy challenges, LLM privacy implications, vector databases, embedding-based systems, regulated industry experience (finance, healthcare, legal), data lineage and provenance tracking.
Technologies
RBAC, ABAC, NLP, Python, vector databases, LLMs
Responsibilities
Architect multi-layered access control models combining RBAC, ABAC, and purpose-based limitations; oversee implementation of fine-grained data classification frameworks; establish security boundaries for autonomous AI agents; integrate privacy controls into data pipelines and AI components; balance privacy requirements with usability and functionality.
Seniority
Senior, hands-on IC with leadership responsibilities
