Global Cybersecurity Analytics & Insights Leader, Global Deloitte Technology

• Lead the Cyber Risk Insights, Cyber Data Lake, and Cybersecurity Metrics & Analytics teams, while providing controlled Global SIEM data extracts for Deloitte Firm OGC, Risk, Forensics, HR, and other sensitive requests.
• Lead and deliver enterprise cyber analytics; own the end-to-end delivery of KRIs, dashboards, and insights that translate enterprise risk objectives into measurable, actionable outcomes for Deloitte Technology, Deloitte Firm cyber teams, and Deloitte Firm CISOs.
• Build and govern the Deloitte Global Cyber Data Lake. Design and operate a centralized, secure data lake to consolidate telemetry from SIEM, endpoints, cloud services, identity, vulnerability, and other security/IT tools; enforce data quality, retention, lineage, access controls, and compliance.
• Maintain and evolve production dashboards leveraged by Deloitte Technology and Deloitte Firm teams. Enhance internal automated compliance dashboards and continuous compliance reporting to improve accuracy, reduce manual effort, and drive measurable remediation outcomes across Deloitte Firms.
• Operationalize data ingestion and validation; define and govern scalable ingestion pipelines, ETL patterns, data contracts, and validation checks to ensure reliable, timely data for analytics and compliance reporting.
• Deliver sensitive data extracts securely, supporting internal cybersecurity and Deloitte Firm requests for curated SIEM and security extracts, ensuring traceability, privacy controls, and auditability for forensic, risk, and legal needs.
• Drive stakeholder engagement and adoption by working closely with Deloitte Firm CISOs, DT leaders, risk owners, and business stakeholders to translate needs into prioritized analytics, SLAs, and delivery milestones; present concise, evidence-based insights to support executive decision-making.
• Build and lead a distributed analytics organization (managers and specialists); set strategy and priorities; manage budget and FTEs.
• Ensure analytics and the data platform meet regulatory, privacy, and audit requirements (e.g., GDPR, ISO 27001); provide audit evidence and maintain traceable documentation and controls.
• Drive the shift from manual reporting to automated, near-real-time and predictive analytics (including ML/AI where appropriate); formalize analytics product management, standards, and organizational upskilling.

• Deep, hands on understanding of enterprise grade cybersecurity tools and platforms (e.g., SIEM, EDR, CSPM, IAM, DLP, Vulnerability Management), including their telemetry, data flows, control behaviours, and integration points - enabling the design of precise, control aligned reporting and dashboarding.
• Demonstrated ability to understand and work across complex cybersecurity architectures, and to design secure, scalable architectures that can support and deploy multiple reporting and dashboarding capabilities
• 10+ years of experience in technical cybersecurity, analytics, data engineering, or related analytics leadership roles with delivery across global or distributed organizations.
• Proven track record building and operating centralized data platforms, data lakes, or security telemetry architectures.
• Strong data engineering and analytics skills: SQL, Python, ETL design, data modeling, data quality frameworks, and dashboarding tools (Power BI, Tableau).
• Experience designing KRIs, dashboards, and analytics that drive operational remediation and executive decisions.
• Familiarity with security telemetry and tooling (SAST/DAST, vulnerability scanners, endpoint telemetry, identity logs).
• Proven stakeholder management and executive communication skills; ability to influence CISOs and senior leaders.
• Experience producing auditable evidence for compliance and supporting forensic/data-request workflows.
• Demonstrated ability to lead and mentor teams, manage vendors, and deliver transformational change.

• CISSP, CISM, CISA, GIAC, Splunk Architect, or cloud/data engineering certifications (e.g., Azure Data Engineer, AWS Big Data).
• Experience in large professional services or multinational enterprise environments with distributed security teams.
• Knowledge of SIEMs (Splunk, Azure Sentinel), log pipelines, cloud platforms (AWS/Azure/GCP), and big-data tools (Snowflake, Databricks, ELK).
• Familiarity with regulatory programs and frameworks (NIS2, GDPR, ISO 27001) and experience aligning analytics to these requirements.
• Practical experience applying ML/AI to security use cases (e.g., anomaly detection, predictive risk scoring) is a plus.
• Current experience in a role supporting Deloitte Global (DTTL) is preferred

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