AI & Data Director Finance & Risk Data Delivery

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Regular or Temporary:

Regular

Language Fluency: English (Required)

Work Shift:

1st shift (United States of America)

Manages and directs the execution of AI and data strategies overseeing the development and deployment of AI models and architectures to enhance business processes and system performance. Leads cross-team collaboration drives innovation and continuous improvement enforces governance standards manages multiple teams and influences leadership business decisions by applying AI and analytics to solve real-world challenges.

This role is responsible for partnering 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 and governance frameworks.

The individual will be 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 will drive the end-to-end delivery of data solutions ensuring alignment with enterprise objectives regulatory expectations and risk management standards.

The role requires strong executive engagement influencing senior stakeholders setting strategic priorities and leading cross-functional teams to deliver innovative scalable and compliant data capabilities that enhance reporting accuracy operational efficiency and business insights.

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. Leads the execution of enterprise AI data and analytics strategies established by senior executives ensuring alignment with business objectives regulatory requirements and technology roadmaps.

2. Partners 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.

3. Establishes and drives 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.

4. Leads 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.

5. Oversees the development deployment and operationalization of AI models advanced analytics solutions and data platforms to improve business performance and enable informed decision-making.

6. Directs the design and implementation of data products and trusted data assets that support enterprise reporting regulatory compliance risk management forecasting and financial management activities.

7. Collaborates across business technology governance and operations teams to integrate AI and data solutions into enterprise applications workflows and reporting ecosystems.

8. Establishes and enforces data governance data quality metadata lineage and control frameworks to ensure compliance with internal policies risk standards and regulatory expectations.

9. Evaluates and measures the effectiveness of AI analytics and data initiatives leveraging performance metrics and business outcomes to drive continuous improvement and optimization.

10. Drives innovation by identifying emerging technologies contributing to intellectual property development and advancing enterprise AI data and analytics capabilities.

11. Leads and develops multiple AI data engineering and analytics teams through senior managers and technical leaders fostering a culture of accountability innovation and continuous learning.

12. Coaches mentors and develops talent while promoting AI literacy data-driven decision-making and strategic thinking across the organization.

13. Influences enterprise business technology and operational decisions by providing thought leadership strategic guidance and expert consultation to executive leadership and key stakeholders.

14. Develops 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.

15. Ensures the delivery of scalable secure and compliant data solutions that support evolving regulatory obligations audit requirements enterprise risk management and strategic business objectives.

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. Bachelors degree in Computer Science Data Science AI Software Engineering a related field or equivalent education and work experience.
2. Minimum of 10 years of professional experience in AI and data with progressive management responsibilities.
3. Proven experience managing teams and delivering AI and data-driven solutions.
4. Strong knowledge of AI models data architectures and analytics methodologies.

Preferred Qualifications

1. Masters degree in a relevant technical or business 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 in building financial services data cloud strategies.
6. Experience supporting Finance Risk BCBS 239 Regulatory Reporting Stress Testing Capital Liquidity or similar regulatory programs.

7. 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 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 Truists generous benefit plans please visit our Benefits site. Depending on the position and division this job may also be eligible for Truists 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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