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# Data Protection Tokenization Specialist, AVP

- **Company:** Deutsche Bank AG
- **Location:** Madrid, Spain (Remote available)
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing Security, Cyber Security, Data Security, Data Streaming, Tokenization, Privacy Controls, Data Logging, Data Classification, Retrieval-Augmented Generation, AI Platforms
- **Published:** October 14, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=286945f06b5459e3

## About the Role

* 7+ years of data security, data protection, privacy engineering, cloud security, or security architecture experience, with recent exposure to AI/ML and GenAI data flows.
 * Strong hands-on experience with tokenization, pseudonymization, masking, encryption, DLP, data classification, and secure data handling.
 * Experience identifying and remediating data vulnerabilities across applications and cloud platforms, extended to prompts/responses, RAG, model access, agent data flows, and AI-driven data exfiltration risks.
 * Practical understanding of how established data protection controls must evolve for frontier AI use cases. Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.
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## Description

The candidate for this role reports into the DWS CSO AI Security CoE Lead and will be a key member of the AI Security Team. The Data Protection / Tokenization Specialist is responsible for developing and implementing data protection and tokenization capabilities that enable secure use of sensitive data across AI solutions., As a Data Protection Tokenization Specialist, AVP you will:

 * Design and implement tokenization, pseudonymization, anonymization, masking, and encryption patterns.
 * Define data protection controls for prompts, responses, RAG, and AI data flows.
 * Integrate DLP, data classification, and secure logging into AI solutions.
 * Partner with AI architects and engineers on secure data-handling patterns. Assess data exposure risks associated with internal and third-party AI services.
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