AVP, Data Protection & Tokenization for AI Security

DWS Group; Madrid; On-site; EUR 90,000 - 120,000; Full time

Job summary

DWS Group in Madrid is seeking a Data Protection Tokenization Specialist, AVP, to design and implement tokenization and data protection controls across AI solutions. You will collaborate with AI architects to secure data flows, prompts, and model access in complex cloud environments.

The role requires 7+ years in data security or privacy engineering with hands-on tokenization and encryption experience, focusing on frontier AI use cases.

Qualifications

• 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.
• 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, including prompts/responses, RAG, model access, and AI-driven data exfiltration risks.
• Understanding of how data protection controls must evolve for frontier AI use cases.
• Ability to leverage AI tools to enhance productivity while ensuring responsible and ethical use of data and AI outputs.

Responsibilities

• 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.

Skills

Data security

Privacy engineering

AI/ML security

Cloud security

Data protection

Tokenization

Pseudonymization

Encryption

Tools

DLP

Data classification

Secure logging

Job description

DWS Group in Madrid is seeking a Data Protection Tokenization Specialist, AVP, to design and implement tokenization and data protection controls across AI solutions. You will collaborate with AI architects to secure data flows, prompts, and model access in complex cloud environments.

The role requires 7+ years in data security or privacy engineering with hands-on tokenization and encryption experience, focusing on frontier AI use cases.