below marketmost similar roles pay hereabove market
This role pays more than
51%
of similar roles. Most pay
$190,650–$269,362
— the blue band above.
At the midpoint, this role pays about
$226k
versus about
$230k
for comparable roles.
Based on 240 similar postings.
Employer
About Northern Trust
Northern Trust is a leading provider of wealth management, asset servicing, asset management, and banking services to corporations, institutions, and high-net-worth individuals. Industry: Financial Services & Asset Management
Northern Trust currently has
82 open roles
on FindRole.
Listed pay typically runs
$114,500–$194,700
across 59 roles with salary data.
The Director, Cyber Security Development & Automation leads a team of developers and automation engineers to deliver full-stack security applications and automation capabilities. This role involves setting the strategic roadmap for security development, translating cyber risk priorities into executable initiatives, and building scalable, audit-ready solutions. Key responsibilities include developing AI-enabled applications, agentic workflows, and reusable integration patterns to improve threat response, vulnerability management, and operational resilience. The position requires expertise in Python-based automation, API integrations, CI/CD, cloud-native services, and workflow orchestration. Candidates must also possess skills in LLM-enabled solution patterns, including retrieval-augmented generation and prompt engineering. The work focuses on protecting critical services, data, and emerging AI workloads within a highly regulated environment by establishing responsible AI engineering practices and robust security guardrails.
Lead a team of developers and automation engineers to build security capabilities that reduce cyber risk and improve operational consistency.
Set the vision, roadmap, and delivery priorities for AI-enabled applications, API integrations, and reusable automation patterns.
Translate enterprise security needs into a portfolio of initiatives for threat response, vulnerability management, and control validation.
Establish responsible AI engineering practices including model governance, prompt standards, testing, and observability for security use cases.
Manage the delivery portfolio for security workflow automation, reusable integration patterns, and LLM-based vulnerability scanning.
Ensure production automation solutions include strong authentication, secrets handling, logging, and auditability.
Influence platform roadmaps and vendor integrations based on risk reduction, resiliency, and total cost of ownership.
Recruit, coach, and mentor senior technical talent to ensure engineering excellence and measurable delivery outcomes.
What we're looking for
Must have 15+ years of experience in cybersecurity, software engineering, security automation, cloud engineering, platform engineering, or related disciplines.
Must have 5+ years of meaningful leadership experience running large development teams.
Must have working knowledge of modern development practices, Python-based automation, API integrations, CI/CD, cloud-native services, and workflow orchestration.
Must have experience with LLM-enabled solution patterns, AI agent workflows, retrieval-augmented generation, prompt engineering, and AI guardrails.
Must demonstrate the ability to deliver in a regulated environment with a focus on audit-ready evidence, access controls, and change management.
Prior experience leading innovation teams in financial services or other highly regulated industries (preferred).
Experience with Azure AI Foundry, GitHub Actions, Terraform, or ServiceNow workflows (preferred).