Enterprise Privacy Engineering Lead

CVS Health

Austin (TX)

On-site

USD 107,000 - 284,000

Full time

14 days+

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Benefits offered by this job

Medical Insurance
Dental Insurance
Vision Coverage
Paid Time Off
Retirement Savings
Wellness Programs

Job summary

CVS Health is seeking a Lead Data Privacy Engineer to advance enterprise privacy engineering and data protection across structured and unstructured data. Lead initiatives in data discovery, encryption, tokenization, anonymization, DLP, and privacy-by-design, collaborating with Cybersecurity, Legal, and Compliance to translate regulations into scalable architectures.

You will influence the privacy strategy, shape the tech roadmap, and apply automation and analytics to protect PHI, PII, and other

Qualifications

  • 5+ years in Privacy Engineering, Security Engineering, Data Protection, or related fields.
  • Experience implementing GDPR/CCPA/HIPAA controls and privacy tech.
  • Strong software engineering foundation with scripting languages.

Responsibilities

  • Lead strategy and implementation of data protection and privacy engineering initiatives.
  • Design and deploy Privacy Enhancing Technologies (PETs) and DLP solutions.
  • Collaborate with cross‑functional teams to embed privacy‑by‑design.
  • Conduct privacy risk assessments, threat modeling, and control evaluations.
  • Drive governance, metrics, and continuous improvement of privacy programs.

Skills

Privacy Engineering
Security Engineering
Data Protection
Python/Java/Go
CI/CD
IaC
Threat Modeling
Regulatory Compliance

Education

Bachelor's degree or equivalent experience

Tools

AWS
GCP

Job description

CVS Health is seeking a Lead Data Privacy Engineer to advance enterprise privacy engineering and data protection across structured and unstructured data. Lead initiatives in data discovery, encryption, tokenization, anonymization, DLP, and privacy-by-design, collaborating with Cybersecurity, Legal, and Compliance to translate regulations into scalable architectures.

You will influence the privacy strategy, shape the tech roadmap, and apply automation and analytics to protect PHI, PII, and other

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