Director Data Risk & Protection

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 . Key Responsibilities: Define and lead BMS's enterprise  Data Risk and Protection strategy , aligned to the company's risk appetite, regulatory requirements, and broader cybersecurity strategy. Design and implement the  Data Risk and Protection operating model & engagement , including team structure, roles and responsibilities, process workflows, tooling stack, and an integrated engagement model with Cybersecurity Fusion Center, Legal, HR, Compliance, Audit, and key Business Units. Establish, maintain, and continuously evolve a comprehensive  Data Risk & Protection program , encompassing policy governance, use-case development, monitoring, detection, response, and remediation. Develop and execute a  multi-year capability roadmap  with clear priorities, milestones, measurable KPIs, and outcome-based risk reduction metrics. Lead the scaling and maturation of the Data Risk & Protection function, building specialist capabilities and fostering a high-performing team. Provide regular program status reporting and risk posture updates to senior leadership, governance bodies. Inside Risk & Threat Analysis: Establish and operationalize  insider threat monitoring and behavioral analytics capabilities to improve visibility and enable timely response. Define and maintain  insider threat personas, use cases, and detection scenarios  (e.g., intellectual property theft, clinical trial data exfiltration, fraud, sabotage, negligent data leakage, Generative AI misuse), informed by threat intelligence, business context, and prior incident trends. Collaborate with technical teams to design, operate, and continuously refine  monitoring and analytics capabilities , including UEBA, DLP, CASB, endpoint and identity telemetry, cloud security monitoring, and privileged access monitoring, with a focus on improving detection coverage and reducing false positives. Oversee the  end-to-end insider risk case lifecycle , from alert generation through triage, investigation, response, closure, and lessons learned, coordinating across Cybersecurity Fusion Center, HR, Legal, Compliance, Corporate Security, and Business Units. Ensure  timely and proportionate incident responses , applying a risk-based methodology that distinguishes between malicious, negligent, and compromised actors, and driving root-cause analysis to strengthen controls and processes. Assess and  mitigate data risks associated with Generative AI and emerging technologies , including data leakage via AI tools, model misuse, shadow AI adoption, and unapproved application usage. Data Loss Prevention (DLP) & Information Protection Lead the strategy, design, and operational management of BMS's  enterprise DLP program across endpoints, email, cloud, and collaboration platforms (e.g., Microsoft 365, Teams, SharePoint, Copilot, AWS, Google Cloud etc). Define and govern  data classification policies and standards , ensuring sensitive BMS data — including clinical trial data, intellectual property, PII, and regulated data — is appropriately labelled, handled, and protected. Drive continuous  tuning, optimization, and lifecycle management  of DLP rules, policies, and controls to improve accuracy, reduce operational burden, and align with evolving business needs. Partner with IT Security Architecture and Engineering teams to ensure  data protection controls are embedded  into infrastructure, application development, and cloud adoption workflows. Establish  metrics and dashboards  to track DLP program effectiveness, data exposure trends, policy violations, and remediation outcomes, and report regularly to senior leadership. Policy, Governance, Assurance & Culture Develop, review, and maintain  data risk and protection policies, standards, and guidelines  (e.g., acceptable use, data handling, monitoring, GenAI usage) in close collaboration with Legal, HR, Compliance, and Privacy teams. Establish clear  escalation paths, decision rights, and documentation standards  for data-related incidents and insider risk cases, ensuring all activities comply with applicable laws, regulations, and internal policies — particularly around privacy, data protection, and employment practices. Lead or support  internal assurance and audit activities  on data risk and protection as directed by the Audit Committee and senior management, including targeted reviews, thematic risk assessments, and deep-dive investigations into control effectiveness. Build strong relationships with stakeholders across BMS , and design targeted awareness, education, and training on data protection, insider risk, and responsible use of Generative AI tools, tailored to different roles and risk profiles. Foster a culture of  trust, accountability, and security-conscious behavior , balancing deterrence with transparency, and represent BMS in relevant external forums, regulatory engagements, and peer networks to leverage industry best practices. Qualifications: Education Bachelor's degree required  in Computer Science, Information Systems, Cybersecurity, Risk Management, Law, Business