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MTTI Metric and Analytics: Implement analytic methods to estimate mean time-to-impact per adversary (from initial access to material business impact) using internal telemetry, historical incidents, industry reporting, and confidence levels, performing comparisons with IR's MTTC to drive control improvements. Attack Path Modeling: Build and maintain end-to-end attack path models from initial access to material impact across IT-to-OT pivots, clinical platforms, and R&D environments, mapping steps to MITRE ATT&CK (Enterprise/ICS), identify control gaps and choke points, derive detections-as-code and hunt hypotheses, and support validation efforts including purple-team exercises and adversary emulation to ensure enterprise hardening and measurable risk reduction. Dark Web and Closed-Source Monitoring: Establish collection and monitoring across dark web forums, marketplaces, breach dumps, and closed channels to identify emerging TTPs, credential leaks, data exposure, access-broker listings, and targeting of manufacturing, clinical, or R&D assets, integrating validated findings into TIP/SIEM pipelines, trigger takedown requests where feasible, and deliver rapid advisories with confidence ratings and specific actions for Vulnerability Management, Detection Engineering, and IR. Third-Party and Ecosystem Intelligence: Deliver risk insights for CROs/CMOs/logistics/technology vendors, monitor credential leakage and domain spoofing, and support/coordinate takedown operations when needed. Structured Threat Actor Attribution (Diamond Model): Lead disciplined attribution using the Diamond Model (adversary, capability, infrastructure, victim) and complementary frameworks, correlating TTPs, tooling lineage, code-reuse, infrastructure overlaps, and victimology with confidence levels and analytic caveats, documenting hypotheses, alternative explanations, and disconfirming evidence, and producing reusable actor profiles and pivot paths that inform prioritization, detections, hunts, and incident response playbooks. Support Detection Engineering: Develop detection use cases to feed our detection-as-code pipeline and support detection ATT&CK coverage mapping, content tuning, and false-positive reduction, ensuring feedback loops from hunts and incidents continuously improve detection quality. Support GSOC/Incident Response: Provide real-time adversary context that is highly technical including kill-chain reconstruction, containment recommendations, and countermeasures, producing post-incident intelligence retrospectives and detection/architecture improvements. Operational and Executive Reporting: Produce daily threat intelligence highlights, threat actor/campaign profiles, quarterly threat briefings, and other ad hoc intelligence products, ensuring products include quantified risk narratives for senior leadership that also align findings to regulatory expectations and business impact. Tooling and Automation: Optimize integrations across TIP, SIEM, EDR, case management, and telemetry; manage indicator lifecycle, automate enrichment, and measure source fidelity/bias. External Engagement: Lead participation with sector bodies (e.g., H-ISAC), peer sharing groups, and government/industry partners; track and assess global events and rapidly translate into actionable enterprise guidance. Team Leadership and Development: Recruit, mentor, and grow a diverse team of CTI analysts; build career paths, training plans, and knowledge-sharing practices; foster a culture of technical excellence and clear, actionable communication. Leadership and Strategic Impact: 10+ years in cyber threat intelligence, detection engineering, incident response, or related domains; 5+ years leading technical CTI teams in global enterprises. Demonstrated ability to set vision, influence strategy, and deliver outcomes tied to enterprise risk reduction. Decision Making and Accountability: Proven ownership of adversary-centric CTI programs that directly drive vulnerability prioritization, detections-as-code, hunts, and incident response. Comfortable making data-driven decisions with clear trade-offs and confidence levels. Technical Depth (ATT&CK Enterprise/ICS): Deep expertise mapping TTPs to MITRE ATT&CK, defining coverage strategies, and translating gaps into high-fidelity detections and hunt hypotheses; skilled in industrial/OT contexts. Attack Path Modeling and Risk Translation: Hands-on delivery of end-to-end attack paths across IT-to-OT pivots, clinical platforms, and R&D environments; validation via purple-team/adversary emulation; ability to convert findings into prioritized control roadmaps and measurable risk reduction. Adversary Prioritization and Scoring: Designed and operated tailored actor scoring incorporating intent/capability, TTP emergence/prevalence, org exposure to CVEs, and global/viral events; maintained dynamic watchlists and escalation triggers. Structured Attribution Tradecraft: Applied the Diamond Model and complementary frameworks with documented hypotheses, caveats, disconfirming evidence, and confidence statements; produced reusable actor profiles and pivot paths. Metrication (MTTI vs. MTTC): Built mean time-to-impact metrics per actor and operationalized comparisons to IR's mean time-to-containment to guide control improvements and track program effectiveness. Vulnerability Intelligence for Hardening: Delivered contextual CVE analysis (exploitability, weaponization, external scanning telemetry, compensating controls) and risk-based patch recommendations across IT, OT/ICS, clinical, and lab environments. Detection Engineering Collaboration: Co-developed detections-as-code (e.g., Sigma, KQL, SPL), tuned content to reduce false positives, and closed ATT&CK coverage gaps with feedback loops from hunts/incidents. Incident Intelligence Support: Provided real-time adversary context, kill-chain reconstruction, containment recommendations, and post-incident retrospectives that inform detection and architectural improvements. Collection, Tooling, and Automation: Operated dark web/closed-source monitoring; integrated findings into TIP/SIEM/EDR pipelines; managed indicator lifecycle, automated enrichment, and measured source fidelity/bias. Stakeholder Partnership and Communication: Clear, concise communication of complex technical intelligence to executives and cross-functional partners (Vulnerability Management, Detection Engineering, SOC/IR, OT Security, Clinical Ops, Research IT); ability to influence without authority. Education: Bachelor's degree in a relevant field (Computer Science, Information Security, Intelligence Studies, or equivalent experience). Sector Experience and Regulatory Context: Experience in pharmaceuticals, life sciences, healthcare, or manufacturing; familiarity with GMP/CSV, clinical data obligations, and R&D IP protection. OT/ICS and Critical Operations: Hands-on work with MES, SCADA, PLC ecosystems; ATT&CK for ICS usage; understanding of OT-safe response practices and production continuity implications. Clinical/R&D Platforms: Exposure to CTMS, EDC, IRT, ELN, LIMS, HPC, and data lake environments; experience safeguarding data integrity and sensitive research/IP. Program Metrics and Outcomes: Built dashboards tracking MTTI by actor, ATT&CK coverage indices, intel-informed patch SLAs, hunter ROI, and executive risk narratives; experience presenting to senior leadership and risk committees. Advanced Tooling/Automation: TIP administration, SIEM/EDR content engineering, enrichment/orchestration pipelines, case management integration, and indicator lifecycle automation at enterprise scale. Threat Modeling and Quantification: Ability to translate attack paths into quantified risk scenarios and prioritized control investments aligned to business objectives and crown jewels. External Partnerships: Active engagement with H-ISAC/ISAOs and government/industry partners; track record of rapidly converting global/viral cyber events into enterprise defenses and executive guidance. Certifications: One or more of GCTI, GREM, GRID, GCIH, CISSP, or equivalent demonstrated expertise. People Leadership: Built diverse, high-performing teams; established career paths, coaching frameworks, and a culture of analytic rigor, technical excellence, and continuous improvement. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. 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