Director, Cyber Security Detection Engineering

About Role The Director, Cyber Security Detection Engineering is a senior leader in the Cyber Operations function, based in Gaithersburg, Maryland, working with the Head of Cyber Operations. The role encompasses command of enterprise detection capabilities across cloud, on‑premises, and OT/ICS environments, ownership of detection governance and validation, and delivery of executive reporting, coverage assessments, and capability maturation in partnership with GSOC, CTI, Vulnerability Management, Offensive Security, IT, Legal, Risk and Compliance, and business customers. What You’ll Do Detection strategy and roadmap: Direct the development and execution of comprehensive detection engineering programs aligned to interpersonal risk appetite and threat landscape; establish capability roadmaps spanning data engineering, detection development, purple teaming, and automation/AI. Data engineering oversight: Ensure robust data pipelines support detection activities through telemetry collection, normalization, and quality assurance across hybrid and OT environments; define data retention, schema standards, and platform configuration to enable effective threat detection. Detection content development: Oversee creation, testing, and deployment of detection logic across SIEM, EDR, and cloud‑native tooling; enforce detection standards, naming conventions, and MITRE ATT&CK mapping; prioritize coverage based on threat intelligence and risk assessments. Purple Team Exercising: Oversee purple team operations to validate detection efficacy systematically; orchestrate adversary emulation exercises across technology domains; drive remediation of detection gaps identified through testing and operational feedback. Automation and AI integration: Operationalise AI agents, machine learning models, and orchestration workflows to enhance detection accuracy, reduce false positives, and augment GSOC analyst capabilities; oversee development of automated enrichment, triage, and investigation playbooks. Metrics and reporting: Own detection engineering targets (e.g., MITRE ATT&CK coverage, mean time to detect, false positive rates, purple team success metrics) and deliver executive‑ready briefings, dashboards, and quarterly maturity assessments. Policy and governance: Develop and enforce detection engineering policies, standards, and quality frameworks; maintain detection content libraries with version control and organizational change field; ensure regulatory compliance in data handling. People Leadership Strategy and planning: Develop and maintain detection engineering area plans aligned to Cyber Operations strategy; set direction and goals with autonomy across data engineering, detection development, purple teaming, and automation functions. Performance and tiers: Define and review reporting and team targets; align objectives to detection outcomes, coverage improvements, and operational efficiency. Talent and capability: Lead inclusive recruitment; build career paths and targeted upskilling in detection development, threat hunting, cloud security, OT/ICS detection, and SOAR/AI through multi‑functional, regional, and external partnerships. Knowledge, Experience, and Understanding Of Detection engineering lifecycle: Proven leadership across detection development, testing, deployment, and tuning at enterprise scale; deep understanding of detection logic design, coverage mapping, and efficacy validation. Threat detection frameworks: Extensive knowledge of MITRE ATT&CK, Cyber Kill Chain, and detection engineering methodologies; experience mapping organisational coverage and prioritising development based on threat intelligence. Purple team operations: Experienced in designing and accomplishing adversary emulation exercises; skilled in translating purple team findings into actionable detection improvements and coverage enhancements. Automation and AI: Experience operationalizing modern detection platforms (SIEM, XDR, SOAR) including integration of artificial intelligence, machine learning models, and agentic features to enable detection at scale. Data engineering and platforms: Proficient with data pipeline architecture, log aggregation, normalisation, and query optimisation; solid grasp of data quality requirements for effective detection. Cloud, identity, and endpoint detection: Deep understanding of detection approaches across multi‑cloud environments, identity systems, endpoints, and network infrastructure; familiar with cloud‑native security services and integration patterns. Manufacturing Operational Technology/Industrial Control Systems: Coordinating detection engineering in industrial/OT environments with safety, availability, and production continuity considerations; knowledge of industrial protocols and OT‑specific threats. Minimum Skills & Experience Required Education: Bachelor's degree in information security, computer science, or related field (or equivalent experience). Enterprise‑scale detection leadership: Over 5 years managing detection engineering or security operations in enterprise‑sized organisations, commanding capabilities across hybrid cloud, on‑premises, and OT environments. Global coordination with distributed teams: Experience integrating and working alongside global, 24×7, geographically dispersed teams to deliver detection capabilities and support security operations missions. Communication and facilitation: Well‑developed skills to explain complex technical concepts in clear business terms; produce concise written material (executive updates, coverage reports); and lead briefings to diverse stakeholders. Analytical decision making: Ability to analyse complex threat landscapes, assess detection gaps, and balance strategic capability development with tactical operational requirements, risk appetite, and resource constraints. Customer orientation and cross‑cultural working: Demonstrated ability to collaborate across regions and functions with a strong service approach and commitment to enabling organisational resilience. Preferred Skills & Experience Certifications: Security certifications preferred (e.g., CISSP, CISM, GIAC such as GCIA/GCDA/GMON; cloud certifications; ITIL). Benefits The annual base pay for this position ranges from $169,320.00 – $253,980.00 USD annually. Eligible employees may participate in a short‑term incentive bonus program, an equity‑based long‑term incentive program (for salaried roles), and a 401(k) retirement plan. Benefits include paid vacation, holidays, and medical, prescription drug, dental, and vision coverage per the company plans. Equal Employment Opportunity Statement AstraZeneca embraces diversity and equality of opportunity. The company is committed to creating an inclusive environment and welcomes applicants from all qualified candidates, regardless of characteristics. AstraZeneca follows all applicable non‑discrimination laws and regulations, and complies with work authorization and employment eligibility verification requirements. Date Posted: 28‑May‑2026 Closing Date: 17‑Jun‑2026 #J-18808-Ljbffr