AI & Data Strategy Director for Finance & Risk

Truist

Atlanta (GA)

On-site

USD 180,000 - 280,000

Full time

29 hours ago
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Benefits offered by this job

Medical benefits
401k plan
Paid time off

Job summary

Truist seeks an experienced AI and data leader to drive enterprise data strategy, governance, and analytics across Finance, Risk, and Regulatory Reporting. You will guide multi-team initiatives, establish scalable data architectures, and ensure compliant and trusted data products to support critical reporting and decision-making.

The role requires strong executive engagement, enabling business insight, regulatory alignment, and continuous improvement through innovative data solutions.

Qualifications

  • Bachelor’s degree in Computer Science, Data Science, AI, or related field
  • Minimum of 10 years of professional AI and data experience 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 execution of enterprise AI, data, and analytics strategies
  • Partner with Finance, Risk, and Regulatory leaders to deliver data-driven solutions
  • Define and drive enterprise data strategy for reporting and governance
  • Lead large-scale transformation programs improving data quality and insights
  • Oversee development and deployment of AI models and data platforms
  • Establish data governance, metadata, lineage, and controls to ensure compliance
  • Drive cross-functional collaboration to integrate AI into enterprise applications

Skills

AI strategy
Data governance
Data architectures
Leadership

Education

Bachelor’s degree in Computer Science or related field

Tools

Cloud data platforms
Analytics tools

Job description

Truist seeks an experienced AI and data leader to drive enterprise data strategy, governance, and analytics across Finance, Risk, and Regulatory Reporting. You will guide multi-team initiatives, establish scalable data architectures, and ensure compliant and trusted data products to support critical reporting and decision-making.

The role requires strong executive engagement, enabling business insight, regulatory alignment, and continuous improvement through innovative data solutions.

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