Job Summary
The Director / Managing Director, Cyber AI provides senior leadership for the cybersecurity organization’s artificial intelligence strategy and program. The role sets direction for protecting enterprise AI and for responsibly applying AI to improve cybersecurity outcomes, while aligning priorities, investment, governance, and operating models with enterprise objectives. This leader establishes a coherent Cyber AI portfolio, develops accountable leaders and teams, and represents cybersecurity in enterprise AI decisions. The role operates through established enterprise authorities for architecture, risk, governance, privacy, legal, compliance, technology operations, and incident response rather than duplicating those functions. Please note: This position is 100% onsite in either Columbus, OH or Austin, TX
Job Description
What you’ll do:
Leadership Accountabilities
- Set and communicate the Cyber AI vision, strategy, priorities, and multi-year direction.
- Provide executive leadership across AI Security Operations and AI-enabled cybersecurity products and engineering.
- Align the portfolio to cybersecurity strategy, business priorities, operational reliability, regulatory expectations, and responsible AI principles.
- Establish clear accountability, decision boundaries, escalation paths, and operating expectations across the Cyber AI program.
- Sponsor scalable security services that improve visibility, controls, monitoring, operational readiness, and resilience for enterprise AI environments.
- Sponsor responsible AI-enabled cybersecurity capabilities that improve security effectiveness, analyst experience, operational efficiency, and risk reduction.
- Guide investment, capacity, organizational design, and talent strategy based on demand, risk, service health, delivery performance, and measurable value.
- Ensure the program produces credible leadership reporting, operational evidence, risk transparency, and outcome measures.
- Build strong partnerships across cybersecurity, technology, business, governance, risk, privacy, legal, compliance, data, and operational stakeholders.
- Develop leaders and high-performing multidisciplinary teams with a culture of accountability, innovation, engineering discipline, and responsible AI use.
- Represent cybersecurity in enterprise AI forums and serve as a senior advisor on AI security opportunities, constraints, and emerging risk.
Expected Results
- A clear, enterprise-aligned Cyber AI strategy and portfolio.
- Secure and responsible adoption of AI supported by scalable security services and transparent operating boundaries.
- Improved visibility into AI assets, activity, control coverage, telemetry, and operational readiness.
- Predictable prioritization, investment decisions, and execution across Cyber AI teams.
- Effective escalation of unresolved risk, readiness gaps, and cross-functional dependencies through established enterprise processes.
- Trusted partnerships with cybersecurity, technology, governance, business, and operational leaders.
- A durable leadership structure and talent pipeline capable of adapting as AI technology and risk evolve.
Experience and Leadership Capabilities
- Progressive leadership experience across cybersecurity, technology, engineering, operations, risk, product delivery, or related disciplines.
- Experience setting strategy and leading complex programs or portfolios in a large, regulated, or critical-infrastructure environment.
- Ability to lead through influence across organizational boundaries and established decision authorities.
- Understanding of AI, machine learning, generative AI, agents, cloud, data, software delivery, and cybersecurity sufficient to guide strategy and investment.
- Experience translating emerging technology risk and opportunity into clear executive direction, priorities, and accountable outcomes.
- Demonstrated judgment in balancing innovation, security, reliability, compliance, and business value.
- Executive communication skills and the ability to advise senior leaders, governance bodies, technical teams, and business stakeholders.
- Experience building leaders, developing multidisciplinary teams, and creating sustainable operating models.
Role Boundaries
The role provides strategic direction, portfolio leadership, organizational accountability, and executive escalation for