TEMPO- AI Enablement Director - Productivity & Efficiency Leader

Truist Bank•Charlotte, NC

About The Position

The AI Enablement Director leads enterprise AI and data strategy, architecture, and execution to accelerate adoption and improve productivity and efficiency in a highly regulated financial-services environment. The role directs the development and deployment of AI models, data products, platforms, architectures, and capabilities that enhance business processes and system performance. It establishes the vision and operating model for trusted, high-quality data supporting Finance, Risk, and Regulatory Reporting, and partners with senior business and technology leaders to address evolving business, regulatory, and reporting needs. The director leads complex, large-scale, cross-functional transformation initiatives from identifying opportunities and developing business cases through architecture, implementation, controls, adoption, and measurement of outcomes. The role establishes standards and governance for AI development and lifecycle management, oversees model performance and risk controls, and ensures solutions are scalable, secure, sustainable, and compliant. It also mentors senior technical talent, advises leaders on emerging technologies and industry trends, and builds enterprise capabilities through innovation and continuous improvement.

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.
Ability to work across business, technology, legal, compliance, and risk functions and translate complex challenges into practical solutions.
Experience with technology delivery, data governance, privacy, regulatory engagement, risk management, and AI oversight.
Ability to redesign processes, influence senior stakeholders, establish controls, and deliver measurable outcomes.
Experience building enterprise capabilities, including delivery models and automation capabilities, and developing business cases, reliable estimates, and post-implementation value measurement.

Nice To Haves

Master’s or doctorate degree in a relevant technical discipline.
Experience in the financial services industry.
Expertise in solution design based on business requirements.
Strong knowledge of data tools and technologies.
Experience leading enterprise cloud data modernization initiatives and data product operating models.
Experience building automation and test-data capabilities and developing regression and production-validation approaches.

Responsibilities

Recommend and shape AI and data strategies, architectures, and operational plans with short- to mid-term impact on divisional outcomes.
Design, evolve, and govern AI platforms, data architectures, and analytics solutions for 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.
Oversee model performance, risk controls, explainability, and ethical AI use in alignment with enterprise governance requirements.
Partner with senior leaders to identify high-impact opportunities where AI and data can improve business outcomes.
Advise management and stakeholders on emerging AI technologies, data strategies, and industry trends.
Mentor and develop senior technical talent and influence organizational skill development and capability maturity.
Drive innovation through intellectual property creation, proof-of-concept leadership, and continuous improvement of AI-enabled solutions.
Partner with senior Finance, Risk, and Regulatory leaders to define and execute enterprise data strategy.
Lead 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 architecture, implementation, controls, adoption, and outcome measurement.
Influence senior stakeholders, establish strategic priorities, and lead cross-functional teams through complex transformation.

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 vacation during the first year, 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