Job description

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. POSITION SUMMARY CVS Health is seeking a Senior Cloud Data Security Engineer – Data Loss Prevention (DLP) to help safeguard the sensitive data assets of one of the nation s largest healthcare, pharmacy, and retail organizations. The Senior Cloud Data Security Engineer – Data Loss Prevention (DLP) serves as a senior member of the Data Protection Team and is responsible for designing, implementing, and advancing enterprise-wide data protection capabilities that secure Data in Motion (DIM), Data in Use (DIU), and cloud-hosted data across a highly complex and regulated environment. The Senior Cloud Data Security Engineer – Data Loss Prevention (DLP) will lead the development and maturation of strategic DLP programs spanning cloud, endpoint, email, network, SaaS, and AI/ML ecosystems while ensuring alignment with business objectives, regulatory requirements, and evolving cyber threats. The Senior Cloud Data Security Engineer – Data Loss Prevention (DLP) partners closely with Cybersecurity, Infrastructure, Cloud Engineering, Data Engineering, AI/ML, Enterprise Architecture, Privacy, Compliance, and business teams to deliver scalable and effective data protection solutions. The Senior Cloud Data Security Engineer – Data Loss Prevention (DLP) is responsible for preventing unauthorized disclosure, misuse, loss, or exfiltration of sensitive information, including PHI, PII, PCI, and proprietary CVS Health data. This position will drive data classification and labeling initiatives, enhance visibility into data movement across enterprise platforms, and build automated detection and response capabilities that improve security outcomes while minimizing operational friction. As CVS Health accelerates adoption of cloud services, artificial intelligence, and machine learning technologies, the Senior Cloud Data Security Engineer – Data Loss Prevention (DLP) will play a critical role in securing AI-enabled business processes, identifying and mitigating risks associated with shadow AI usage, and implementing controls that protect sensitive information throughout AI/ML pipelines, model training environments, and generative AI platforms. Success in the Senior Cloud Data Security Engineer – Data Loss Prevention (DLP) position requires deep expertise in enterprise DLP technologies, cloud security architectures, data governance, automation, and regulatory compliance, along with the ability to influence technical strategy, lead complex initiatives, and serve as a trusted subject matter expert for enterprise data protection. PRIMARY DUTIES AND 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. REQUIRED QUALIFICATIONS 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. PREFERRED QUALIFICATIONS 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. EDUCATION Bachelor’s degree from accredited university or equivalent work experience (HS diploma 4 years relevant experience). BUSINESS OVERVIEW Bring your heart to CVS Health Every one of us at CVS Health shares a single, clear purpose: Bringing our heart to every moment of your health. This purpose guides our commitment to deliver enhanced human-centric health care for a rapidly changing world. Anchored in our brand — with heart at its center — our purpose sends a personal message that how we deliver our services is just as important as what we deliver. Our Heart At Work Behaviors™ support this purpose. We want everyone who works at CVS Health to feel empowered by the role they play in transforming our culture and accelerating our ability to innovate and deliver solutions to make health care more personal, convenient and affordable. We strive to promote and sustain a culture of diversity, inclusion and belonging every day. CVS Health is an affirmative action employer, and is an equal opportunity employer, as are the physician-owned businesses for which CVS Health provides management services. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities. Anticipated Weekly Hours 40 Time Type Full time Pay Range The typical pay range for this role is: $101,970.00 - $203,940.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families. 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. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility. Additional details about available benefits are provided during the application process and on Benefits Moments . We anticipate the application window for this opening will close on: 09/30/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Requirements

Must-haves

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.
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.
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.
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.
EDUCATION Bachelor’s degree from accredited university or equivalent work experience (HS diploma 4 years relevant experience).
Anticipated Weekly Hours
$101,970.00 - $203,940.00
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.
Great benefits for great people
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.
Additional details about available benefits are provided during the application process and on Benefits Moments .
We anticipate the application window for this opening will close on: 09/30/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlmachine learningawsazuregcp

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Dental

Vision

Paid Time Off

Wellness