Senior Director, Technology – Cybersecurity Strategy, Architecture & AI Transformation (Remote)
About The Position
The Senior Director, Technology – Cybersecurity Strategy, Architecture & AI Transformation defines and advances the future-state architecture, strategy, and transformation agenda for Cybersecurity. The role establishes and drives long-range cybersecurity technology strategy, provides strategic leadership across enterprise security architecture, and leads major modernization and transformation efforts, including AI-enabled Cybersecurity transformation. The Senior Director brings together strategic technical leadership across cybersecurity architecture domains, aligns Distinguished Engineers and Principal Architects around a cohesive target-state architecture and roadmap, and translates emerging technologies into scalable capabilities that improve cybersecurity effectiveness and business outcomes. The role provides executive leadership across AI, automation, knowledge-driven security capabilities, and other emerging technologies while ensuring governance, security, architectural consistency, and measurable value realization. Working across Cybersecurity, Technology, and enterprise partners, this leader turns strategy into execution, influences investment priorities, accelerates modernization, and develops the technical talent and capabilities required for the next generation of Cybersecurity. The role operates at the intersection of cybersecurity, enterprise architecture, artificial intelligence, technology transformation, and executive strategy.
Requirements
- Demonstrated senior leadership experience developing and executing enterprise cybersecurity strategy, security architecture, or large-scale technology transformation within a complex enterprise environment.
- Deep understanding of enterprise security architecture and ability to establish target-state architecture, technical standards, strategic roadmaps, and modernization priorities across multiple cybersecurity domains.
- Significant experience leading AI, machine learning, generative AI, agentic AI, intelligent automation, or other emerging-technology initiatives; ideally in cybersecurity or another risk-sensitive technology environment.
- Strong understanding of modern AI architecture and enabling capabilities, including large language models, agent-based systems, retrieval-augmented generation (RAG), knowledge graphs, model integration, automation frameworks, and AI observability.
- Experience translating emerging technologies into production-scale enterprise capabilities, including establishing architectural patterns, governance, controls, operating models, and measures of business value.
- Strong understanding of AI governance, responsible AI, AI security, data governance, risk management, and controls for safe and sustainable enterprise AI deployment.
- Experience leading enterprise transformation programs involving multiple organizations, technologies, dependencies, and senior stakeholders, from strategy and architecture through implementation and measurable outcomes.
- Proven ability to lead and influence Distinguished Engineers, Principal Engineers/Architects, and other senior technical talent, aligning independently operating technical domains.
- Ability to evaluate technology investments and emerging capabilities, establish priorities, and make strategic tradeoff decisions balancing innovation, cybersecurity risk, operational resilience, scalability, and business value.
- Executive-level communication and influence skills, including translating technical AI and cybersecurity topics into strategic choices, risks, investment needs, and business outcomes for senior Technology and business leaders.
- Experience building and developing multidisciplinary teams spanning architecture, AI/ML engineering, automation, product leadership, governance, security, and organizational transformation.
- Ability to lead through ambiguity and shape capabilities while operating models, technologies, standards, and organizational responsibilities are evolving.
- Broad technology and cybersecurity business acumen and experience partnering across architecture, engineering, infrastructure/cloud, identity, data, security operations, governance/risk, and product organizations.
- Track record of developing technical and leadership talent, building organizational capability, and creating sustainable leadership depth.
- Must be at least eighteen years of age.
- Must be legally permitted to work in the United States.
- Knowledge, skills, and abilities typically acquired through completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
- 10+ years of work experience.
Nice To Haves
- Experience leading AI, machine learning, generative AI, agentic AI, intelligent automation, or other emerging-technology initiatives within cybersecurity or another risk-sensitive technology environment.
Responsibilities
- Define and advance the future-state cybersecurity architecture, strategy, and transformation agenda.
- Establish and drive long-range cybersecurity technology strategy and provide strategic leadership across enterprise security architecture.
- Lead major modernization and transformation efforts, including AI-enabled Cybersecurity transformation.
- Align Distinguished Engineers and Principal Architects around a cohesive target-state architecture and roadmap.
- Translate emerging technologies into scalable capabilities that improve cybersecurity effectiveness and business outcomes.
- Provide executive leadership across AI, automation, knowledge-driven security capabilities, and other emerging technologies, ensuring governance, security, architectural consistency, and measurable value realization.
- Work with Cybersecurity, Technology, and enterprise partners to turn strategy into execution, influence investment priorities, and accelerate modernization.
- Develop technical talent and capabilities for the next generation of Cybersecurity.
- Lead enterprise transformation programs from strategy and architecture through implementation and measurable outcomes.
- Evaluate technology investments and emerging capabilities, set priorities, and make strategic tradeoff decisions.
- Build and develop high-performing multidisciplinary teams and organizational capability.
- Travel overnight typically 5% to 20% of the time.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
