Head of AI Enablement - Technology, Data and Operations, Wholesale Division

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Language Fluency: English (Required)

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Please review the following job description:

This role is hands-on and technically deep, blending engineering fluency in LLMs, agentic frameworks, and applied ML with the ability to engage directly with business stakeholders. Acting as both architect and catalyst, the Head of AI Enablement owns the division's AI operating model, moving demand from a large, un-sequenced inventory into prioritized, routed, and governed delivery. This includes owning a portfolio of use cases and a value pipeline, with a clear mandate to turn inventory into decisions and measure realized benefits, not just track delivery.

Acting as both architect and catalyst, the Head of AI Enablement leads cross-functional teams to design and operationalize AI solutions including:

• Real-time teammate assist and knowledge retrieval
• Conversational AI (voice and chat)
• Intelligent call routing and next-best-action
• Automated quality assurance and sentiment analytics
• Workforce optimization and forecasting augmentation
• Post-call summarization and case documentation automation

This leader ensures solutions are secure, compliant, ethical, and performant at scale-while establishing reusable engineering patterns that accelerate AI adoption across all Care Center lines of business. The role requires a rare combination of technical acumen, strategic agility, and executive presence. A leader who can earn credibility with engineers and inspire confidence from business Executives.

Strategic Impact

This role directly influences the TD&O Wholesale Division objectives and key results, including:

• Teammate capacity unlocked through automation and AI-assisted work
• Number of agentic automation use cases deployed and in production
• Benefit realization: efficiency gained, cost savings, and capacity relief for delivered use cases
• Modern SDLC / GitLab and GitLab Duo adoption across the developer base
• Speed and quality of software delivery through AI-enabled engineering practices

• Responsible, governed AI adoption aligned to enterprise policy

ESSENTIAL DUTIES AND RESPONSIBILITIES

Following is a summary of the essential functions for this job. Other duties may be performed, both major and minor, which are not mentioned below. Specific activities may change from time to time.

1. Directs the development and deployment of AI models and data architectures to enhance system accuracy, efficiency, and resilience.

2. Champions cross-functional collaboration to integrate AI solutions into business applications and processes.

3. Oversees experimentation and performance assessment of AI and data initiatives and makes significant improvements on processes or systems to ensure effectiveness.

4. Drives innovation by contributing to intellectual property and advancing AI capabilities within the organization.

5. Manages multiple AI and data teams led by mid- to upper-level Management.

6. Develops and enforces AI and data governance standards aligned with organizational goals and regulatory requirements.

7. Recommends operational plans and strategies with short- to mid-term (0-3 years) impact on job area results.

8. Collaborates with stakeholders to identify real-world problems and apply AI and analytics for actionable insights.

Qualifications

Required Qualifications

The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

1. Bachelor’s degree in Computer Science, Data Science, AI, Software Engineering, or related field.

2. Minimum of 12 years of professional experience in AI and data with progressive management responsibilities.

3. Proven experience managing teams and delivering AI and data-driven solutions at scale.

4. Strong knowledge of AI models, data architectures, and analytics methodologies.

5. Experience with regulatory compliance and risk management in AI and data technologies.

Preferred Qualifications

Engineering Leadership: 10+ years leading product, platform, or applied AI engineering teams in large-scale, high-availability environments.

1. Technical Expertise: Proven experience designing, deploying, and operating production AI, GenAI, and automation systems (LLM-based solutions, agentic architectures, Power Automate/RPA, and ML pipelines) using enterprise, governed tooling (e.g., Copilot, Copilot Studio, Agent Builder, pro-code frameworks), plus a track record of standing up AI intake, prioritization, and governance models across a large, multi-line-of-business organization.

Responsible AI & Regulatory Awareness: Demonstrated knowledge of Responsible AI frameworks, model risk governance, and secure data management practices in a regulated financial services environment. Communication & Influence: Ability to build credibility with engineers while influencing Wholesale executives and delivery leaders. Education: Bachelor’s degree in computer science, Engineering, Data Science, or related field (advanced degree preferred) or equivalent experience

General Description of Available Benefits for Eligible Employees of Truist Financial Corporation: All regular teammates (not temporary or contingent workers) working 20 hours or more per week are eligible for benefits, though eligibility for specific benefits may be determined by the division of Truist offering the position. Truistoffers medical, dental, vision, life insurance, disability, accidental death and dismemberment, tax-preferred savings accounts, and a 401k plan to teammates. Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by full-time or part-time status) during their first year of employment, along with 10 sick days (also prorated), and paid holidays. For more details on Truist’s generous benefit plans, please visit our Benefits site. Depending on the position and division, this job may also be eligible for Truist’s defined benefit pension plan, restricted stock units, and/or a deferred compensation plan. As you advance through the hiring process, you will also learn more about the specific benefits available for any non-temporary position for which you apply, based on full-time or part-time status, position, and division of work.

Truist is an Equal Opportunity Employer that does not discriminate on the basis of race, gender, color, religion, citizenship or national origin, age, sexual orientation, gender identity, disability, veteran status, or other classification protected by law. Truist is a Drug Free Workplace.

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