Note: The job is a remote job and is open to candidates in USA. CVS Health is a healthcare, pharmacy, and retail organization seeking a Senior Cloud Data Security Engineer – Data Loss Prevention (DLP). The role leads enterprise DLP and cloud data protection initiatives across cloud, endpoint, email, network, SaaS, collaboration, and AI/ML environments, while developing controls, policies, monitoring, and automated response capabilities to protect sensitive and regulated data.
Responsibilities
- Design, implement, and continuously mature enterprise Data Loss Prevention (DLP) strategies, policies, and controls across cloud, endpoint, email, network, SaaS, and collaboration platforms to protect sensitive data from unauthorized access, disclosure, misuse, and exfiltration
- Lead the end-to-end DLP program lifecycle, including data classification and labeling, policy development, rule tuning, incident management, investigations, root cause analysis, remediation, and continuous improvement of data protection capabilities governing PHI, PII, PCI, and proprietary information
- Architect and enhance cloud data protection capabilities across AWS, Azure, GCP, and hybrid environments utilizing technologies and frameworks such as Microsoft Purview, CASB, CNAPP, CSPM, SASE, DSPM, Conditional Access, and Zero Trust architectures
- Design, implement, and enforce data protection controls for AI/ML platforms, generative AI solutions, Large Language Models (LLMs), AI agents, MLOps pipelines, and shadow AI use cases to prevent unauthorized ingestion, exposure, retention, or transmission of sensitive and regulated data
- Develop dashboards, metrics, key risk indicators, and executive reporting that measure DLP effectiveness, control coverage, incident trends, and enterprise data protection posture, while driving automation of policy enforcement, alert triage, and response workflows to improve operational efficiency
- Partner with Cybersecurity, Privacy, Compliance, Legal, Risk Management, Infrastructure, Cloud Engineering, Data Engineering, Enterprise Architecture, and business stakeholders to define data protection strategy, security standards, governance processes, and roadmap priorities aligned with regulatory and business requirements
- Serve as the enterprise subject matter expert for DLP, cloud data security, and AI/ML data protection, providing leadership and guidance for cloud transformations, AI platform deployments, digital modernization initiatives, and other strategic programs while ensuring alignment with industry frameworks including NIST, CIS, CSA, HIPAA, PCI-DSS, and MITRE ATLAS
Skills
- 5+ years of experience designing, implementing, and supporting enterprise cloud security and data protection solutions, with a strong emphasis on Data Loss Prevention (DLP) in large-scale environments
- 5+ years of hands-on expertise administering and optimizing enterprise DLP platforms such as Microsoft Purview, Zscaler, Palo Alto, or equivalent data protection technologies
- 5+ years of demonstrated success creating, deploying, and enforcing DLP policies and controls across cloud, endpoint, email, network, SaaS, and collaboration platforms
- 5+ years working with at least two major cloud platforms, including AWS, Azure, and/or Google Cloud Platform (GCP), implementing security and data protection controls
- 5+ years of practical experience leveraging Zero Trust principles, CASB, CSPM, CNAPP, Conditional Access, and related cloud security frameworks
- 5+ years of responsibility for data classification, information protection, and governance initiatives involving PHI, PII, PCI, confidential, and proprietary data
- 5+ years partnering with cybersecurity, engineering, infrastructure, compliance, and business stakeholders to investigate data security incidents, perform root cause analysis, and drive remediation activities
- Bachelor's degree from accredited university or equivalent work experience (HS diploma + 4 years relevant experience)
- Hands-on experience developing and tuning advanced DLP detection logic using Regex, dictionaries, Exact Data Match (EDM), fingerprinting, and related content inspection techniques, with proficiency in security analytics and reporting tools such as Splunk, Chronicle, Power BI, or comparable platforms
- Experience implementing and supporting network security, email security, secure web gateway, proxy, and firewall technologies focused on preventing data exfiltration and unauthorized data movement
- Experience securing AI/ML environments, including Large Language Models (LLMs), Generative AI solutions, AI agents, and MLOps platforms, with a strong focus on data protection, governance, and risk management
- Demonstrated success leading DLP, information protection, or data security engineering initiatives and delivering enterprise-scale solutions through collaboration with cybersecurity, engineering, infrastructure, data, and business stakeholders
- Experience supporting mission-critical security platforms in large enterprise environments, including participation in on-call rotations and the ability to provide off-hours and weekend support when required
- Relevant industry certifications such as Microsoft Information Protection Administrator (SC-400), Microsoft Security Operations Analyst (SC-200), CCSP, CISSP, CCSK, AWS Security Specialty, or equivalent cloud and security certifications
- Strong communication, stakeholder management, and problem-solving skills, with the ability to influence technical decisions and translate complex security concepts for both technical and non-technical audiences
Benefits
- This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
- This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families.
- Medical, dental, and vision coverage, based on eligibility.
- Paid time off, based on eligibility.
- Retirement savings options, based on eligibility.
- Wellness programs, based on eligibility.
- Remote/Hybrid work arrangement
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