DLP Engineer

Bristol-Myers Squibb; United States; On-site; USD 120,000 - 160,000; Full time

Job summary

Bristol Myers Squibb is seeking an experienced DLP Engineer to advance our data security program and protect sensitive enterprise data. You will implement and manage enterprise data protection strategies, align with regulations, and build policy-driven controls across cloud, email, and endpoints.

The ideal candidate has 3–6 years in data security and DLP, with hands-on expertise in Microsoft Purview and other leading DLP tools, scripting, and regex-based content detection.

Qualifications

• 3–6 years of experience in data security and DLP.
• Hands-on with Microsoft Purview and other leading DLP tools.
• Experience with scripting and regex-based content detection.
• Knowledge of data classification, labeling, and encryption basics.
• Familiarity with DSPM and network DLP technologies.

Responsibilities

• Develop and implement data security and DLP policies across enterprise platforms.
• Configure and manage DLP rules and policies across platforms.
• Build SITs and regex-based patterns to detect sensitive data.
• Deploy information protection controls: classification, labeling, encryption.
• Utilize DSPM to identify data exposure risks and remediation plans.
• Monitor network DLP across web gateways, email, proxies, and CASB SaaS.
• Assess risks and implement controls to mitigate data security risks.
• Write scripts to automate DLP tasks and reporting.
• Stay current with industry trends in Purview, DSPM, AI-driven protection.

Skills

Data security

DLP

Regulatory compliance

Scripting (PowerShell/Python)

Regex patterns

AI concepts

Tools

Microsoft Purview

Symantec DLP

Forcepoint

Netskope

Zscaler

Job description

Working with Us

Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us .

Position Summary

Bristol Myers Squibb is seeking an experienced DLP Engineer to join our data security and data protection efforts. The successful candidate will be responsible for implementing and managing enterprise data protection strategies to protect BMS sensitive and confidential data, while also ensuring compliance with industry regulations and standards.

The ideal candidate will bring 3-6 years of experience in data security and DLP, with a solid background in cybersecurity, risk management, and compliance. The candidate should bring strong hands‑on proficiency in Microsoft Purview , alongside familiarity with other leading DLP tools and platforms, and a solid understanding of DLP rule and policy configuration, information protection frameworks, regulatory compliance, and foundational skills in scripting and regex‑based content detection.

If you want an exciting and rewarding career that is meaningful, consider joining our diverse team!

Key Responsibilities

A. Functional and Technical

• Develop and implement data security and DLP policies and procedures across enterprise DLP platforms - leveraging tools such as Microsoft Purview, Symantec DLP, Forcepoint, Netskope, Zscaler , or equivalent - ensuring alignment with industry regulations and standards


• Configure and manage DLP rules and policies within the organization\'s chosen DLP platform(s), including scoped policy targeting, rule conditions, exceptions, and enforcement actions (audit, block, notify, restrict)


• Build and maintain Sensitive Information Types (SITs) or equivalent sensitive data classifiers - including custom regex‑based patterns, keyword dictionaries, and document fingerprinting - to detect and protect sensitive data across cloud, email, endpoint, and collaboration environments


• Deploy and manage Information Protection controls including data classification, sensitivity labeling, auto‑labeling policies, and encryption to protect data at rest, in transit, and in use across the enterprise


• Utilize Data Security Posture Management (DSPM) tools to identify data exposure risks, shadow data, overshared content, and excessive permissions; translate findings into actionable remediation plans and DLP policy enhancements


• Manage and monitor Network DLP solutions to inspect and control data in motion across web gateways, email, proxies, and CASB-integrated SaaS environments


• Evaluate and assess risks associated with data security and implement controls to mitigate those risks, leveraging DSPM posture insights and DLP telemetry across platforms


• Work with internal stakeholders to ensure that data security and DLP policies and procedures are being followed, and actively identify areas for improvement


• Conduct periodic assessments to identify risks to data security and develop action plans to mitigate those risks across cloud, network, and endpoint channels


• Maintain and update the response plan for investigating and escalating non‑compliance events against BMS DLP policies


• Manage, delegate, and track incidents related to violations against BMS DLP policies


• Write and maintain scripts (PowerShell and/or Python) to automate DLP‑related management tasks, alert triage, policy updates, and compliance reporting workflows


• Develop and apply Regular Expressions (Regex) for custom sensitive data pattern detection (e.g., PII, PHI, proprietary data, financial identifiers) within DLP platforms and content inspection engines


• Leverage foundational knowledge of Artificial Intelligence (AI) concepts to understand AI‑powered detection mechanisms within DLP and data security tools - including trainable classifiers, AI‑enhanced anomaly detection, and intelligent risk scoring for insider risk and data exfiltration scenarios


• Develop metrics related to the data protection program's status, performance, and maturity; and leverage those metrics to drive decisions around program enhancements and additions


• Stay current with industry trends and advancements in data security and DLP technologies - including developments in Microsoft Purview, DSPM, AI‑driven data protection , and Network