Head of AI Enablement - Truist Protection Services

Truist•Charlotte, NC

About The Position

The Head of AI Enablement is a senior technology leader responsible for designing and deploying enterprise-grade AI and GenAI solutions across Truist Protection Services. Reporting directly to the Chief Security Officer, this leader partners with business executives, product managers, and engineering teams to translate business requirements into scalable, production-ready AI applications that drive measurable value. This role is hands-on and technically deep — blending engineering expertise in LLMs, agentic frameworks, and applied ML with the ability to engage directly with business stakeholders. The ideal candidate has built and deployed AI platforms or intelligent products in a technology-first environment, demonstrating fluency in system design, data architecture, and model integration. Acting as both architect and catalyst, the Head of AI Engineering & Enablement leads cross-functional squads to develop prototypes, operationalize AI agents, and integrate cognitive capabilities into existing business platforms. They ensure solutions are built with security, ethics, and performance at scale, while establishing engineering patterns that accelerate adoption across all LOBs. This role requires a rare combination of technical acumen, strategic agility, and executive presence—someone who can earn credibility with engineers and inspire confidence from business leaders. Candidates from technology or product companies are strongly preferred; those from financial services must demonstrate equivalent experience delivering engineered AI products, not program oversight.

Requirements

Bachelor’s degree in Computer Science, Data Science, AI, Software Engineering, or related field.
Minimum of 12 years of professional experience in AI and data with progressive management responsibilities.
Proven experience managing teams and delivering AI and data-driven solutions at scale.
Strong knowledge of AI models, data architectures, and analytics methodologies.
Experience with regulatory compliance and risk management in AI and data technologies.

Nice To Haves

Master’s degree in a relevant technical or business discipline.
Experience in the financial services industry.
Amazon Web Services (AWS) certification or any other cloud provider certifications.
Expertise in solution designs based upon business requirements.

Responsibilities

Directs the development and deployment of AI models and data architectures to enhance system accuracy, efficiency, and resilience.
Champions cross-functional collaboration to integrate AI solutions into business applications and processes.
Oversees experimentation and performance assessment of AI and data initiatives and makes significant improvements on processes or systems to ensure effectiveness.
Drives innovation by contributing to intellectual property and advancing AI capabilities within the organization.
Manages multiple AI and data teams led by mid- to upper-level Management.
Develops and enforces AI and data governance standards aligned with organizational goals and regulatory requirements.
Recommends operational plans and strategies with short- to mid-term (0-3 years) impact on job area results.
Collaborates with stakeholders to identify real-world problems and apply AI and analytics for actionable insights.