TEMPO- AI Enablement Director - Productivity & Efficiency Leader

Truist•Atlanta, GA

About The Position

The AI Enablement Director leads enterprise AI and data strategy, architecture, and delivery, with a focus on improving productivity, efficiency, business processes, and system performance in a highly regulated financial-services environment. The role oversees development and deployment of AI models, data products, architectures, and capabilities, while ensuring solutions are scalable, secure, sustainable, and aligned with enterprise governance and regulatory expectations. The director partners with senior Finance, Risk, and Regulatory leaders to define and execute enterprise data strategy supporting critical reporting and decision-making. The role establishes the vision, architecture, and operating model for trusted, high-quality data and data products, and leads initiatives from opportunity identification and business-case development through architecture, implementation, controls, adoption, and measurement of outcomes. This leader drives cross-functional transformation and collaboration among business, technology, legal, compliance, security, data management, testing, and risk teams. Responsibilities include establishing effective governance and risk controls, advising executives on AI and data technologies and trends, developing enterprise capabilities and standards, and mentoring senior technical talent. The position calls for substantial experience building delivery, automation, and testing capabilities and translating complex challenges into practical, sustainable solutions.

Requirements

Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Engineering, a related technical field, or equivalent education, training, and work-related experience.
Typically 12 or more years of progressive experience in AI, data engineering, advanced analytics, or related technical domains.
Demonstrated mastery of multiple technical areas, including AI/ML, data architecture, analytics platforms, and cloud-based technologies.
Deep experience across technology delivery, data governance, privacy, regulatory engagement, risk management, and AI oversight.
Ability to work across business, technology, legal, compliance, and risk functions and translate complex challenges into practical, sustainable solutions.
Ability to redesign processes, influence senior stakeholders, establish effective controls, and drive measurable outcomes in a regulated financial-services environment.
Experience building enterprise capabilities, developing business cases and reliable estimates, demonstrating value after implementation, and gaining support across stakeholder organizations.
Strong executive engagement and ability to establish strategic priorities and lead cross-functional teams through complex transformation.
Ability to ensure solutions are scalable, secure, sustainable, and aligned with enterprise and regulatory expectations.

Nice To Haves

Master’s or doctorate degree in a relevant technical discipline.
Experience in the financial services industry.
Expertise in solution designs based upon business requirements.
Strong knowledge of data tools and technologies.
Experience leading enterprise cloud data modernization initiatives and data product operating models.

Responsibilities

Recommend and shape AI and data strategies, architectures, and operational plans with short- to mid-term (0–3 year) impact on divisional outcomes.
Design, evolve, and govern advanced AI platforms, data architectures, and analytics solutions to ensure scalability, security, performance, and regulatory compliance.
Lead large, complex, cross-divisional technical initiatives of strategic importance without formal reporting authority.
Establish and advance enterprise standards, patterns, and best practices for AI development, deployment, monitoring, and lifecycle management.
Provide expert oversight of model performance, risk controls, explainability, and ethical AI usage, ensuring alignment with enterprise governance requirements.
Partner with senior leaders to identify high-impact opportunities where AI and data capabilities can materially improve business outcomes.
Serve as a senior technical advisor to management and stakeholders on emerging AI technologies, data strategies, and industry trends.
Mentor and develop senior technical talent across the organization, influencing skill development and capability maturity at scale.
Drive innovation through intellectual property creation, proof-of-concept leadership, and continuous improvement of AI-enabled solutions.
Manage and direct execution of AI and data strategies, including development and deployment of AI models, data products, architectures, and capabilities.
Partner with senior Finance, Risk, and Regulatory leaders to define and execute enterprise data strategy for reporting and decision-making.
Lead large-scale data and transformation initiatives using modern data platforms, scalable data products, AI-enabled capabilities, automation, and governance frameworks.
Drive end-to-end solution delivery, from opportunity identification and business-case development through implementation, controls, adoption, and outcome measurement.
Build and scale enterprise capabilities, including delivery models, automation, test-data capabilities, regression testing, and production validation approaches.
Influence senior stakeholders and lead cross-functional teams through complex transformation and implementation.

Benefits

Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
Accidental death and dismemberment coverage
Tax-preferred savings accounts
401(k) plan
At least 10 days of first-year vacation, prorated based on hire date and full-time or part-time status
10 sick days, prorated
Paid holidays
May be eligible for a defined benefit pension plan, restricted stock units, and/or deferred compensation plan, depending on position and division