Managing Director - AI Security

American Electric Power•Columbus, OH

3d•Onsite

About The Position

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 responsibly applying AI to improve cybersecurity outcomes, 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. This position is 100% onsite in either Columbus, Ohio, or Austin, Texas. The role provides strategic direction, portfolio leadership, organizational accountability, and executive escalation for the Cyber AI program. It does not replace established enterprise authority for architecture approval, cloud or infrastructure operations, enterprise incident command, data governance, privacy, legal interpretation, compliance ownership, model development, business product ownership, or enterprise risk acceptance; those responsibilities remain with designated enterprise functions and accountable owners. The position ensures the cybersecurity organization has clear leadership for managing AI-related risk, enabling responsible adoption, and turning AI opportunity into sustainable security outcomes while supporting enterprise safety, reliability, and resilience.

Requirements

Progressive leadership experience across cybersecurity, technology, engineering, operations, risk, product delivery, or related disciplines.
15+ years of leadership experience in cybersecurity or technology, including responsibility for strategy, teams, investment, and cross-functional outcomes.
Bachelor’s degree in cybersecurity, computer science, engineering, business, or a related field, or equivalent experience.
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 ability to advise senior leaders, governance bodies, technical teams, and business stakeholders.
Experience building leaders, developing multidisciplinary teams, and creating sustainable operating models.

Nice To Haves

Experience in critical infrastructure, energy, utilities, regulated industries, or other complex enterprise environments.
Relevant advanced education, professional certifications, or demonstrated expertise in cybersecurity, technology leadership, risk, or AI.

Responsibilities

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 with cybersecurity strategy, business priorities, operational reliability, regulatory expectations, and responsible AI principles.
Establish 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 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 advise senior leaders on AI security opportunities, constraints, and emerging risk.
Provide strategic direction, portfolio leadership, organizational accountability, and executive escalation for the Cyber AI program.
Support secure and responsible AI adoption through scalable security services and transparent operating boundaries.
Improve visibility into AI assets, activity, control coverage, telemetry, and operational readiness.
Enable predictable prioritization, investment decisions, and execution across Cyber AI teams.
Escalate unresolved risk, readiness gaps, and cross-functional dependencies through established enterprise processes.