TR
TruistHead of AI Enablement
Senior technology leader responsible for AI and GenAI solutions across Wholesale Technology for Truist. Collaborating with business executives and engineering teams to drive measurable value through AI applications.
About the role
- Partner closely with leadership to shape and execute enterprise-wide data architecture strategies, focusing on streamlining redundant BI, ETL, and data tools while promoting modernization and integration across platforms.
- Lead the design and deployment of scalable data ecosystems, including ETL processes, data lakes, and AI-driven integrations, ensuring they are secure, performant, and adaptable to future needs.
- Develop proof-of-concepts for AI-enhanced reporting, chatbots, and automation, integrating them into business-critical processes to drive decision-making and operational agility.
- Stay ahead of industry trends in data architecture, AI/ML operations (MLOps), cloud services, and enterprise tools, proactively recommending and piloting solutions to address upcoming challenges in analytics and AI integration.
- Identify architectural bottlenecks in current systems, design innovative solutions to resolve them, and implement reusable frameworks that enhance data pipelines, governance, and overall efficiency.
- Collaborate horizontally with functional leads across engineering, IT, and business teams to align data initiatives with organizational goals, fostering a culture of shared best practices and cross-platform interoperability.
- Oversee data migrations, metadata-driven frameworks, and automation efforts to optimize workflows, reduce costs, and improve data reliability and accessibility.
- Champion IT governance and agile methodologies, guiding teams both in and outside of IT in adopting best in class data tools set forth as standards by our Enterprise Data & Analytics organization.
- Develop, institute, and maintain the IT design methodology, development process methodology, technology standards, and best practices.
- Compile or design enterprise and reference architectural models of current and proposed systems across the enterprise for use internally and in conjunction with external technology partners.
- Provide training, coaching and knowledge transfer to team members on new and emerging technologies
- Provide oversight to ensure compliance with architectural standards and practices through all aspects of planning, execution, and operation
Requirements
- Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field;
- 12+ years of progressive experience in enterprise, data, and/or software architecture, with a strong emphasis on data architecture, ETL frameworks, and integrations in large-scale environments.
- 3 years of solid performance in an architect role working with cross-functional teams (within IT and/or within the business) on enterprise-level or complex / novel system implementations
- 3 years of relevant industry experience (e.g., medical device, pharmaceuticals, etc.) or in highly regulated environments
- Certifications in related disciplines and architecture frameworks (e.g., TOGAF Enterprise Architect, COBIT, ITIL, CDMP, OCP)
- Hands-on experience with modern data tools such as AWS Glue, Azure Data Factory, Snowflake, Databricks, and CI/CD platforms (e.g., GitHub/GitLab), as well as workflow tools like Jira and Confluence.
- Expertise with any combination of these is welcome.
Benefits
- Competitive salaries
- Performance-based incentives
- Wide variety of benefits programs to address the diverse individual needs of employees and their families
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