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Truist Bank

Runs banking and lending for people and businesses

AI & Data Director - Finance & Risk Data Delivery

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Data Science, AI, Software Engineering, a related field, or equivalent education and work experience.
  • At least 10 years of professional experience in AI and data with progressive management responsibilities.
  • Proven experience managing teams and delivering AI- and data-driven solutions.
  • Strong knowledge of AI models, data architectures, and analytics methodologies.

Responsibilities

  • Lead the execution of enterprise AI, data, and analytics strategies established by senior executives, ensuring alignment with business objectives, regulatory requirements, and technology roadmaps.
  • Partner directly with senior Finance, Risk, and Regulatory business leaders to define strategic priorities, influence decision-making, and deliver data-driven solutions that support critical reporting and business processes.
  • Establish and drive the enterprise data strategy for Finance, Risk, and Regulatory Reporting, including the design, delivery, and adoption of scalable data products, data capabilities, and modern data architectures.
  • Lead large-scale, complex transformation programs and data initiatives that enhance Finance, Risk, and Regulatory Reporting capabilities while improving data quality, operational effectiveness, and business insight generation.
  • Oversee the development, deployment, and operationalization of AI models, advanced analytics solutions, and data platforms to improve business performance and enable informed decision-making.
  • Direct the design and implementation of data products and trusted data assets that support enterprise reporting, regulatory compliance, risk management, forecasting, and financial management activities.
  • Collaborate across business, technology, governance, and operations teams to integrate AI and data solutions into enterprise applications, workflows, and reporting ecosystems.
  • Establish and enforce data governance, data quality, metadata, lineage, and control frameworks to ensure compliance with internal policies, risk standards, and regulatory expectations.
  • Evaluate and measure the effectiveness of AI, analytics, and data initiatives, leveraging performance metrics and business outcomes to drive continuous improvement and optimization.
  • Drive innovation by identifying emerging technologies, contributing to intellectual property development, and advancing enterprise AI, data, and analytics capabilities.
  • Lead and develop multiple AI, data, engineering, and analytics teams through senior managers and technical leaders, fostering a culture of accountability, innovation, and continuous learning.
  • Coach, mentor, and develop talent while promoting AI literacy, data-driven decision-making, and strategic thinking across the organization.
  • Influence enterprise business, technology, and operational decisions by providing thought leadership, strategic guidance, and expert consultation to executive leadership and key stakeholders.
  • Develop strong partnerships with internal and external stakeholders to identify business challenges, assess opportunities, and apply AI, analytics, and data solutions that deliver measurable business value.
  • Ensure the delivery of scalable, secure, and compliant data solutions that support evolving regulatory obligations, audit requirements, enterprise risk management, and strategic business objectives.

Desired Qualifications

  • A master's degree in a relevant technical or business discipline.
  • Experience in the financial services industry.
  • Expertise in solution designs based upon business requirements.
  • Strong knowledge of data tools and technologies.
  • Experience building financial services data cloud strategies.
  • Experience supporting Finance, Risk, BCBS 239, Regulatory Reporting, Stress Testing, Capital, Liquidity, or similar regulatory programs.
  • Experience leading enterprise cloud data modernization initiatives and data product operating models.

About the Company

Truist Bank

Runs banking and lending for people and businesses

Truist Bank runs consumer and commercial banking for households, small businesses, and larger companies across the United States. Its services connect everyday accounts and borrowing with business cash management and wealth planning through the wider Truist group. Customers manage money through branches and digital banking, while businesses use the bank to collect payments, move funds, and finance operations. It earns interest on loans and fees for banking and trust services, with brokerage and investment advice handled by separate affiliates. The Truist brand emerged from the BB&T and SunTrust merger in 2019, and the bank is headquartered in Charlotte, North Carolina.

Company size
10,001+
Company stage
IPO
Headquarters
Charlotte, NC
Founded
2019

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