Jobs and Careers

Director, Detection Engineering and Automation

TransUnion

United Statesfull_timeVerifiedPosted 20 Jul 2026

💰 $281,250/yr($168,750/yr – $281,250/yr)

About the role

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Team Overview

Reporting directly to the SVP, Cyber Defense, the Director of Detection Engineering and Automation will serve as a key member of the Cyber Defense leadership team responsible for advancing TransUnion's detection and automation capabilities across endpoint, identity, network, and cloud environments. The role partners closely with Threat Intelligence, Security Incident Response, Security Operations, Cloud Infrastructure Security, Application Security, and Engineering to strengthen proactive defense, reduce risk, and improve operational response. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

Role Overview and Core Responsibilities

Lead the Detection Engineering and Automation function, establishing the team as the authoritative center of excellence for prioritized, high-fidelity detections that reduce risk across endpoint, identity, network, and cloud environments.
Define and execute the detection engineering and automation strategy, ensuring detection priorities are aligned to the evolving threat landscape, enterprise risk, and organizational priorities.
Lead, develop, and scale a team of approximately 14 detection and automation engineers and one manager, building leadership capability, fostering a high-performance culture, and supporting continued team growth.
Own the end-to-end detection lifecycle, from ideation and prioritization through development, testing, deployment, tuning, and ongoing optimization to ensure detections remain relevant and actionable.
Drive automation and response workflow integration across SOAR, SIEM, and EDR platforms to increase detection coverage, reduce manual effort, and improve operational scalability.
Mature the detection platform by evaluating and adopting scalable tooling, simplifying detection authoring, and enabling faster turnaround on new detection capabilities.
Lead cloud detection capability development by closing current coverage gaps and building durable cloud-native detection capabilities in partnership with Cloud Infrastructure Security and Engineering.
Partner cross-functionally with SecOps, Threat Intelligence, SIRT, and Engineering to ensure detection outputs are actionable, response plans are current, and automation reduces manual response burden.
Define, track, and communicate key detection metrics, including detection coverage, detection effectiveness, false positive rates, mean time to detect, and automation throughput.
Represent Detection Engineering in senior leadership forums by providing clear, decision-oriented updates on detection posture, platform health, risk coverage, and team progress.

Required Knowledge and Experiences

10+ years of cybersecurity experience, with a strong focus on detection engineering, security operations, or threat intelligence, including at least 3–5 years in a people leadership role managing teams or managers.
Demonstrated experience building and scaling detection engineering programs, including detection development, tuning, operationalization, and continuous improvement across enterprise environments.
Strong understanding of adversary tactics, techniques, and procedures and experience applying frameworks such as MITRE ATT&CK to guide detection prioritization, coverage, and risk reduction.
Proven ability to drive cross-functional alignment across Threat Intelligence, Incident Response, Security Operations, Cloud Infrastructure Security, Application Security, and Engineering teams.
Bachelor’s degree in Computer Science, Information Security, or a related field required; equivalent experience may be considered where it demonstrates the technical depth and leadership capability needed for the role.

Required Technical Skills

Deep technical expertise with SIEM, EDR, SOAR, and detection-as-code methodologies, including hands-on experience with detection rule development and automation workflow design.
Experience developing detections across endpoint, identity, network, and cloud environments, with the ability to prioritize based on risk reduction and oper