AI Data Protection Specialist

Develop and maintain AI data protection policies, standards, and procedures across the enterprise. Define and enforce policies for the protection of training data, prompt data, embeddings, model outputs, and AI-related metadata. Enforce data governance and protection controls for datasets used in training, testing, and deploying AI models. Maintain documentation for AI risk assessments, data flows, and model governance. Implement data‑handling standards for AI systems, including anonymization, pseudonymization, redaction, tokenization, and minimization techniques. Monitor and assess data leakage risks related to model outputs, prompts, fine‑tuning data, and embedded knowledge. Ensure protection against data leakage through AI interfaces (chat, retrieval-augmented generation, AI interfaces, etc.). Establish controls to detect and respond to AI-related data incidents or model misuse or unauthorized model use. Perform investigations into suspicious AI activity, data exfiltration attempts, or anomalies in model behavior. Partner with Data Governance, Privacy, AI Security and AI/ML team to ensure compliance with privacy and retention requirements. Work with cloud, data, and application security teams to embed security into AI environments (Azure AI, OpenAI, AWS Bedrock, GCP Vertex, etc.). Assess third-party AI vendors, APIs, and tools for security posture and data-handling practices. Deep knowledge of data protection concepts: encryption, secure enclaves, RAG isolation, synthetic data, DLP, access control frameworks, data lifecycle. Hands-on experience with cloud AI platforms (Azure OpenAI, AWS Bedrock, GCP Vertex). Knowledge of AI-specific attack vectors (prompt injections, model poisoning, adversarial examples, training data extraction). Knowledge in AI/ML concepts, architecture, and data pipelines. Knowledge of GDPR, CPPA/CPPA (Canada), HIPAA, PCI, or equivalent data protection regulations. Familiarity with emerging AI regulations (EU AI Act, U.S. Executive Orders on AI, Canada AIDA). Strong analytical and risk assessment skills Excellent communication and documentation abilities Ability to work across multiple teams and stakeholder management skills Problem-solving mindset with attention to detail Understanding of ethical AI principles and responsible data Proactive, analytical, and able to drive cross-functional alignment. Bachelor's in Computer Science, Cybersecurity, Data Science, or related field. 5-10 years in security roles (AppSec, Cloud Sec, Data Protection, or Threat Modeling). Experience in data protection, information security & cloud platforms Certifications such as CISSP, CIPP/E, CISM, CDPSE, Azure/AWS security, or AI ethics/AI governance badges.