The Lead Data Privacy Engineer will drive the strategy, design, and implementation of scalable privacy-enhancing technologies and enterprise data protection solutions across structured and unstructured data environments. This role will lead initiatives spanning data discovery, inventory, classification, encryption, tokenization, anonymization, Data Loss Prevention (DLP), and privacy-by-design practices that strengthen the protection of regulated and sensitive data throughout its lifecycle.

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.

Key Responsibilities

• Lead the strategy, prioritization, implementation, and continuous improvement of enterprise data protection and privacy engineering capabilities across structured and unstructured data environments.
• Design, deploy, and optimize Privacy Enhancing Technologies (PETs), including encryption, tokenization, anonymization, pseudonymization, data classification, Data Loss Prevention (DLP), and other privacy-preserving solutions.
• Partner with engineering, product, legal, compliance, and cybersecurity teams to embed privacy-by-design principles and translate regulatory requirements into scalable architectures, technical standards, governance controls, and enterprise data protection solutions.
• Conduct privacy risk assessments, privacy impact assessments, threat modeling, and control evaluations to identify, mitigate, and monitor privacy and security risks.
• Drive enterprise data governance, privacy metrics, automation, advanced analytics, emerging privacy technologies, and continuous improvement initiatives.

Required 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.

Preferred Qualifications

• 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.

Education

• Bachelor’s degree from accredited university or equivalent work experience.

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.

Pay Range

• $106,605.00 - $284,280.00

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