Managing Director – AI Security

American Electric Power

. Set and communicate the Cyber AI vision, strategy, priorities, and multi-year direction .

Posted 10/21/2026full-timeUnited StatesLead💰 $188,524 - $245,080 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Cybersecurity Leadership, AI Strategy, and Operational Excellence, with a focus on developing high-performing teams and aligning cybersecurity initiatives with business priorities and regulatory expectations.

Highest-signal resume keywords

Cybersecurity LeadershipAI Strategy DevelopmentCross-Functional Team LeadershipRisk ManagementExecutive Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

CybersecurityAI Security OperationsMachine LearningCloud ComputingSoftware DeliveryOperational ReadinessRisk ReductionPortfolio ManagementInvestment StrategyCompliance

Soft Skills

Influential LeadershipStrategic ThinkingJudgmentCollaborationTeam Development

Certifications & Qualifications

Professional Certifications in CybersecurityAdvanced Education in Technology Leadership

Industry Keywords

Critical InfrastructureRegulated IndustriesOperational EvidenceGovernancePrivacy

Tech Stack

Tools & technologies

CloudCyber Security

About the role

Key responsibilities & impact

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 accountability, decision boundaries, escalation paths, and operating expectations across the Cyber AI program
Sponsor scalable security services for visibility, controls, monitoring, operational readiness, and resilience in 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 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
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

Requirements

What you’ll need

Bachelor’s degree in cybersecurity, computer science, engineering, business, or a related field, or equivalent experience
15+ years of leadership experience in cybersecurity or technology, including responsibility for strategy, teams, investment, and cross-functional outcomes
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 ability to advise senior leaders, governance bodies, technical teams, and business stakeholders
Experience building leaders, developing multidisciplinary teams, and creating sustainable operating models
Experience in critical infrastructure, energy, utilities, regulated industries, or other complex enterprise environments is preferred
Relevant advanced education, professional certifications, or demonstrated expertise in cybersecurity, technology leadership, risk, or AI is preferred

Benefits

Comp & perks

Equal Employment Opportunity in all respects of the employer-employee relationship
Company sponsored training programs
Educational assistance
Social and recreational programs
Compensation and benefits
Physical demand level: sedentary work