[Hiring] Lead Data Privacy Engineer @CVS Health

Role Description

At CVS Health, protecting customer, patient, member, and colleague data is fundamental to our mission. The Lead Data Privacy Engineer will play a critical role in advancing enterprise privacy engineering and data protection capabilities that safeguard sensitive information while enabling secure, compliant, and responsible use of data across one of the nation's largest healthcare organizations. This role will lead initiatives spanning:

• Data discovery
• Inventory
• Classification
• Encryption
• Tokenization
• Anonymization
• Data Loss Prevention (DLP)
• Privacy-by-design practices

Working closely with Cybersecurity, Engineering, Data, Product, Legal, and Compliance teams, the Lead Data Privacy Engineer will translate evolving regulatory requirements and privacy risks into scalable architectures, governance controls, and automated solutions. This role offers a unique opportunity to influence enterprise privacy strategy, shape the future of privacy engineering at CVS Health, and leverage emerging technologies, automation, and advanced analytics to enhance data protection at scale while protecting the trust of millions of customers, patients, members, and colleagues.

Qualifications

• 7+ years advancing Privacy Engineering, Security Engineering, Data Protection, Cybersecurity, or related technical disciplines.
• 5+ years designing and deploying enterprise-scale data protection capabilities.
• Strong software engineering foundation with 5+ years developing, integrating, and automating solutions using Python, Java, Go, or similar programming and scripting languages.
• 5+ years operating within cloud-native and DevSecOps environments.
• 3+ years leading complex, cross-functional privacy, data protection, cybersecurity, or compliance initiatives.

Requirements

• Professional certifications such as CDPSE, CIPP, CIPT, CIPM, CISSP, or equivalent privacy and security credentials.
• Knowledge of leading security, privacy, and compliance frameworks.
• Expertise designing and securing cloud-native and data-driven environments.
• Demonstrated application of AI, automation, and advanced analytics to improve privacy, data protection, governance, and operational effectiveness.
• Healthcare or other highly regulated industry background.

Benefits

• Comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families.
• Medical, dental, and vision coverage.
• Paid time off.
• Retirement savings options.
• Wellness programs and other resources, based on eligibility.