Metadata Catalog AI & Data Architect

NAACPJobFinder; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

Truist Financial Corporation seeks an accomplished AI/Data professional to design and build AI models and data architectures that improve business processes and system performance.

You will collaborate with cross-functional teams to integrate AI capabilities, govern data practices, and deliver analytics-driven insights while advancing enterprise AI initiatives and regulatory compliance.

Qualifications

• Bachelor’s degree in Computer Science, Data Science, AI, Software Engineering, or related field
• Minimum of 5 years of professional experience in AI and data
• Knowledge of AI models, data architectures, and analytics methodologies

Responsibilities

• Designs and delivers AI models, data architectures, and data solutions that improve business processes and system performance.
• Develops technical solutions and collaborates with cross-functional teams to integrate AI and data capabilities into business applications.
• Conducts experiments and evaluates the performance, effectiveness, and business value of AI and data initiatives to support continuous improvement.
• Supports technical innovation and the advancement of enterprise AI, data, and analytics capabilities.
• Provides technical guidance to AI and data teams and translates business needs into actionable technical requirements.
• Applies data management and data governance principles throughout the design and implementation of AI and data solutions.

Skills

AI model design

Data architectures

Analytics methodologies

Cross-functional collaboration

Education

Bachelor’s degree in Computer Science, Data Science, AI, Software Engineering, or related field

Job description

Truist Financial Corporation seeks an accomplished AI/Data professional to design and build AI models and data architectures that improve business processes and system performance.

You will collaborate with cross-functional teams to integrate AI capabilities, govern data practices, and deliver analytics-driven insights while advancing enterprise AI initiatives and regulatory compliance.