Managing Director, Artificial Intelligence

NCAA•Indianapolis, IN

About The Position

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.

Requirements

Bachelor’s degree in computer science, Artificial Intelligence, Data Science, Engineering, Business Administration, or a related field.
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.

Nice To Haves

Advanced degree (e.g., MBA, MS, or PhD) preferred.
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.

Responsibilities

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.
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.
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.
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.
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.
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.