Data Privacy Lead 17877

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

Assignment Description

We are currently looking for an experienced Data Protection Expert / Data Protection Manager

What You Will Work On

• Provide expert guidance on data protection and privacy compliance
• Support product and development teams in privacy-related decision-making
• Translate GDPR and regulatory requirements into practical implementation approaches
• Identify and assess privacy risks in new business initiatives and projects
• Perform and support risk-based privacy assessments
• Conduct and review DPIAs (Data Protection Impact Assessments)
• Support vendor assessments and privacy due diligence activities
• Manage questions related to customer, member, and user data
• Support AI-related initiatives from a privacy and governance perspective
• Advise on marketing, profiling, segmentation, and digital customer data practices
• Evaluate international transfers and support Transfer Impact Assessments (TIA)
• Contribute to consistent privacy governance across digital products
• Collaborate closely with legal, product, engineering, analytics, and business teams

What You Bring

• Minimum 8 years of experience within data protection and privacy
• Strong practical expertise in GDPR implementation and compliance
• Good understanding of ePrivacy / LEK and interaction with GDPR requirements
• Knowledge of AI regulation and privacy implications
• Experience conducting DPIAs and privacy impact assessments
• Experience with data processing agreements and supplier assessments
• Experience performing Transfer Impact Assessments (TIA)
• Experience handling customer, member, and user data
• Experience supporting development initiatives and AI-related projects
• Ability to prioritize based on risk and business value
• Experience working with privacy in marketing, profiling, and segmentation
• Experience performing assessments related to roles and responsibilities for personal data processing
• Strong technical understanding and ability to collaborate with engineering teams