Director, Cyber Security Detection Engineering

Overview

AstraZeneca seeks a Director, Cyber Security Detection Engineering, a senior leader in the Cyber Operations function. The role is based in Gaithersburg, Maryland, and partners with the Head of Cyber Operations. The position 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.

• Detection strategy and roadmap: Direct the development and execution of comprehensive detection engineering programmes aligned to threat landscape and risk appetite; 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; prioritise 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.

• 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.

• 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; 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.

• Education: Bachelor's degree in information security, computer science, or related field (or equivalent experience).
• Enterprise-scale detection leadership: Over 5 years managing detection…