Managing Director, Artificial Intelligence

The Managing Director combines strategic leadership, business acumen, and technical expertise to identify and scale high-impact AI opportunities, advance organizational AI maturity, and establish the governance, operating model, and talent capabilities required to support long-term success.

Strategic Leadership and Vision

• Under the direction of the CTO, the Managing Director will refine and communicate the enterprise AI vision, strategy, and roadmap aligned with organizational objectives.
• Partner with leadership to integrate AI into business and technology strategies.
• Identify emerging AI trends, opportunities, and risks to inform strategic decision-making.

Enterprise Transformation and Value Delivery

• Lead AI-driven transformation initiatives that enhance decision-making, operational efficiency, and innovation.
• Identify, prioritize, and scale high-value AI use cases across the enterprise.
• Establish performance metrics and ensure AI initiatives deliver measurable business outcomes.

Operating Model and Execution

• Design and implement the enterprise AI operating model, including governance, delivery frameworks, and talent strategy.
• Oversee the development, deployment, and scaling of AI solutions across business functions.
• Lead decisions on build, buy, or partner approaches for AI technologies and platforms.

Governance, Risk, and Compliance

• Establish and lead AI governance structures, policies, and standards.
• Ensure compliance with regulatory, legal, privacy, and ethical requirements related to AI.
• Collaborate with security, legal, compliance, and risk teams to manage AI-related risks.

Portfolio and Investment Management

• Manage the AI portfolio, including prioritization, funding, and resource allocation.
• Establish frameworks to track value realization, return on investment, and performance of AI initiatives.
• Provide transparency and reporting to executive leadership on AI progress and outcomes.

Collaboration and Stakeholder Engagement

• Drive cross-functional collaboration to ensure alignment and coordination of AI initiatives.
• Build and maintain relationships with external partners, vendors, and industry organizations.
• Serve as an executive advocate for AI adoption and innovation across the organization.

Experience and Education

• Bachelor’s degree in computer science, Artificial Intelligence, Data Science, Engineering, Business Administration, or a related field.
• Advanced degree (e.g., MBA, MS, or PhD) preferred.
• Ideal candidate will have 12+ years of progressive leadership experience in technology, data, digital, or business transformation roles.
• 5+ years of experience leading AI, advanced analytics, or data science initiatives at scale.
• Demonstrated experience leading cross-functional teams and enterprise-wide programs.
• Experience implementing large-scale transformation initiatives and operating model changes.
• Proven ability to influence executive stakeholders and drive strategic decision-making.

Preferred Qualifications

• Experience defining and executing enterprise AI strategies.
• Experience implementing AI solutions in complex, data-rich environments.
• Strong understanding of AI/ML technologies, data platforms, and enterprise architecture.
• Experience with AI governance, risk management, and regulatory compliance frameworks.
• Background in multiple industries or management consulting is a plus.

Key Competencies

• Strategic Agility
• Drives Vision and Purpose
• Executive Presence
• Motivating Others
• Resourcefulness

Core Values

• Leadership
• Inclusion
• Communication
• Collaboration
• Accountability