AI Enablement Director - Productivity & Efficiency Leader

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Regular or Temporary:

Regular

Language Fluency:  English (Required)

Work Shift:

1st shift (United States of America)

Please review the following job description:

The AI Enablement Director – AI Enablememnt requires a leader who brings the right blend of enterprise transformation leadership, technology expertise, and governance discipline to accelerate AI and data adoption at scale. The role calls for deep experience across technology delivery, data governance, privacy, regulatory engagement, risk management, and AI oversight, with the ability to work across business, technology, legal, compliance, and risk functions to translate complex challenges into practical, sustainable solutions. Success requires a leader who can redesign processes, influence senior stakeholders, establish effective controls, and drive measurable outcomes in a highly regulated financial-services environment.
Equally important is a demonstrated ability to build and scale enterprise capabilities rather than simply manage existing processes. Relevant experience includes establishing new delivery models and automation capabilities from the ground up, developing business cases and reliable estimates, demonstrating value after implementation, and gaining support across business, testing, technology, security, data management, and governance organizations. Experience building automation and test-data capabilities, developing robust regression and production-validation approaches, and using technology to enable more comprehensive testing, earlier identification of issues, and fewer production incidents illustrates the type of disciplined transformation and execution this position requires.
The role manages and directs the execution of AI and data strategies, overseeing the development and deployment of AI models, data products, architectures, and capabilities to enhance business processes and system performance. The leader drives cross-team collaboration, innovation, and continuous improvement; enforces governance and risk standards; manages multiple teams; and influences senior business and technology decisions by applying AI, analytics, and data to solve complex, real-world business challenges.
This leader partners closely with senior Finance, Risk, and Regulatory business leaders to define and execute the enterprise data strategy supporting critical reporting and decision-making capabilities. The position leads large-scale, complex data and transformation initiatives that enable Finance, Risk, and Regulatory Reporting functions through modern data platforms, scalable data products, AI-enabled capabilities, automation, and robust governance frameworks.
The individual is accountable for establishing the strategic vision, architecture, and operating model for delivering trusted, high-quality data and data products that meet evolving business, regulatory, and reporting requirements. Working across business and technology organizations, this leader drives the end-to-end delivery of solutions, from identifying high-value opportunities and developing the business case through architecture, implementation, controls, adoption, and measurement of business outcomes.
The role requires strong executive engagement and the ability to influence senior stakeholders, establish strategic priorities, and lead cross-functional teams through complex transformation. The leader must be equally comfortable creating new capabilities, navigating enterprise governance and risk requirements, and driving execution through implementation, ensuring solutions are scalable, secure, sustainable, and aligned with enterprise and regulatory expectations.

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.Recommends and shapes AI and data strategies, architectures, and operational plans with short- to mid-term (0–3 year) impact on divisional outcomes.

2.Designs, evolves, and governs advanced AI platforms, data architectures, and analytics solutions to ensure scalability, security, performance, and regulatory compliance.

3.Leads large, complex, cross-divisional technical initiatives of strategic importance without formal reporting authority.

4.Establishes and advances enterprise standards, patterns, and best practices for AI development, deployment, monitoring, and lifecycle management.

5.Provides expert oversight of model performance, risk controls, explainability, and ethical AI usage, ensuring alignment with enterprise governance requirements.

6.Partners with senior leaders to identify high-impact opportunities where AI and data capabilities can materially improve business outcomes.

7.Serves as a senior technical advisor to management and stakeholders on emerging AI technologies, data strategies, and industry trends.

8.Mentors and develops senior technical talent across the organization, influencing skill development and capability maturity at scale.

9.Drives innovation through intellectual property creation, proof-of-concept leadership, and continuous improvement of AI-enabled solutions.

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, Artificial Intelligence, Engineering, a related technical field, or equivalent education, training, and work-related experience.
2.Typically 12+ years of progressive experience in AI, data engineering, advanced analytics, or related technical domains. 

3.Demonstrated mastery of multiple technical areas, including AI/ML, data architecture, analytics platforms, and cloud-based technologies.

Preferred Qualifications
1.Master’s or Doctorate degree in a relevant technical discipline.

2. Experience in the financial services industry.
3. Expertise in solution designs based upon business requirements.
4. Strong knowledge of data tools and technologies.
5. Experience leading enterprise cloud data modernization initiatives and data product operating models.
 

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. Truist offers 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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