Privacy Engineering Lead: Data Protection & PETs

CVS Health; Pierre (SD); On-site; USD 107,000 - 284,000; Full time

Job summary

CVS Health is seeking a Lead Data Privacy Engineer to shape enterprise privacy strategy across structured and unstructured data, driving discovery, classification, encryption, tokenization, anonymization, and privacy-by-design practices.

You will partner with Cybersecurity, Data, Legal, Product and Compliance to translate regulatory requirements into scalable architectures, governance controls, and automated solutions that protect PHI and PII while enabling secure data use.

Qualifications

• 7+ years advancing Privacy Engineering, Security Engineering, Data Protection, or related technical disciplines.
• 5+ years designing and deploying enterprise-scale data protection capabilities including encryption, tokenization, and DLP.
• 5+ years developing, integrating, and automating solutions using Python, Java, Go, or similar languages.
• 5+ years operating within cloud-native and DevSecOps environments with CI/CD, IaC, and security automation.
• 3+ years leading cross-functional privacy, data protection, cybersecurity, or compliance initiatives.

Responsibilities

• Lead strategy and continuous improvement of enterprise data protection and privacy engineering across structured/unstructured data.
• Design and deploy Privacy Enhancing Technologies (PETs) like encryption, tokenization, anonymization, and DLP.
• Partner with engineering, product, legal, compliance, and cybersecurity to embed privacy-by-design and governance controls.
• Conduct privacy risk assessments, threat modeling, and control evaluations to mitigate risks.
• Drive governance metrics, automation, and advanced analytics to strengthen privacy posture and efficiency.

Skills

Privacy engineering leadership

Privacy risk assessment

Regulatory compliance (GDPR/CCPA/HIPAA

Cross-functional collaboration

Data governance

Education

Bachelor's degree or equivalent

Tools

Python

Java

Go

Job description

CVS Health is seeking a Lead Data Privacy Engineer to shape enterprise privacy strategy across structured and unstructured data, driving discovery, classification, encryption, tokenization, anonymization, and privacy-by-design practices.

You will partner with Cybersecurity, Data, Legal, Product and Compliance to translate regulatory requirements into scalable architectures, governance controls, and automated solutions that protect PHI and PII while enabling secure data use.