Lead Data Privacy Engineer

CVS Health•Work At Home-Illinois, IL

7d•$106,605 - $284,280

About The Position

The Lead Data Privacy Engineer advances enterprise privacy engineering and data protection capabilities at CVS Health. The role drives the strategy, design, and implementation of scalable privacy-enhancing technologies and enterprise data protection solutions across structured and unstructured data environments. Areas of focus include data discovery, inventory, classification, encryption, tokenization, anonymization, Data Loss Prevention (DLP), and privacy-by-design practices to protect regulated and sensitive data throughout its lifecycle. Working with Cybersecurity, Engineering, Data, Product, Legal, and Compliance teams, the Lead Data Privacy Engineer translates regulatory requirements and privacy risks into scalable architectures, governance controls, and automated solutions. The role also helps shape enterprise privacy strategy and applies emerging technologies, automation, and advanced analytics to improve data protection at scale.

Requirements

7+ years advancing Privacy Engineering, Security Engineering, Data Protection, Cybersecurity, or related technical disciplines, including architecting and implementing privacy and data protection controls aligned to GDPR, CCPA/CPRA, HIPAA, and similar regulatory frameworks.
5+ years designing and deploying enterprise-scale data protection capabilities, including encryption, tokenization, key management, data classification, Data Loss Prevention (DLP), privacy-enhancing technologies (PETs), and insider risk controls.
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, leveraging CI/CD pipelines, Infrastructure as Code (IaC), security automation, privacy threat modeling, and privacy impact assessments to deliver secure, scalable solutions.
3+ years leading complex, cross-functional privacy, data protection, cybersecurity, or compliance initiatives and influencing stakeholders across Engineering, Product, Data, Security, Legal, and Compliance organizations.
Bachelor’s degree from an accredited university or equivalent work experience (high school diploma plus 4 years of relevant experience).

Nice To Haves

Professional certifications such as CDPSE, CIPP, CIPT, CIPM, CISSP, or equivalent privacy and security credentials.
Knowledge of security, privacy, and compliance frameworks including NIST, ISO 27001, HITRUST, FIPS, PCI DSS, and HIPAA, with exposure to regulatory audits, assessments, and remediation activities.
Expertise designing and securing cloud-native and data-driven environments, including AWS, Azure, GCP, SQL/NoSQL databases, data lakes, and enterprise-scale data platforms.
Demonstrated application of AI, automation, and advanced analytics to improve privacy, data protection, governance, and operational effectiveness.
Healthcare or other highly regulated industry background, with responsibility for protecting PHI, PII, and other sensitive or regulated data assets.

Responsibilities

Lead the strategy, prioritization, implementation, and continuous improvement of enterprise data protection and privacy engineering capabilities across structured and unstructured data environments.
Lead enterprise data discovery, inventory, and data mapping initiatives to improve visibility, governance, and protection of regulated and sensitive data assets.
Design, deploy, and optimize privacy-enhancing technologies and solutions, including encryption, tokenization, anonymization, pseudonymization, data classification, and Data Loss Prevention (DLP).
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.
Support audit, compliance, investigation, and regulatory obligations.
Drive enterprise data governance, privacy metrics, automation, advanced analytics, emerging privacy technologies, and continuous improvement initiatives.
Monitor industry trends and regulatory developments and lead cross-functional teams to strengthen privacy posture, data protection effectiveness, and operational efficiency.