Senior AI & Data Architect — Metadata Catalog

Gamma Phi Omega International; Charlotte (NC); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, vision

401k and retirement plans

Paid holidays and vacation

Job summary

Truist Financial Corporation is seeking a seasoned AI and data leader in Charlotte, NC for a Regular full-time role. The ideal candidate will design AI models, data architectures, and governance frameworks to improve business processes and regulatory compliance.

You will collaborate with cross-functional teams, translate business needs into technical requirements, and drive enterprise AI initiatives with emphasis on risk management and data quality.

Qualifications

• Bachelor's degree or equivalent in CS/DS/AI/Software Engineering.
• Minimum of 5 years of professional AI and data experience.
• 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 performance, business value, and ROI of AI/data initiatives for continuous improvement.
• Supports technical innovation and advancement of enterprise AI, data and analytics capabilities.
• Provides technical guidance to AI/data teams and translates business needs into actionable requirements.
• Applies data governance principles throughout design/implementation and ensures compliance with standards.

Skills

AI models

Data architectures

Analytics methodologies

Governance

Education

Bachelor's in CS/DS/AI/Software Eng

Advanced degree preferred

Tools

Data governance platforms

Data catalog

Job description

Truist Financial Corporation is seeking a seasoned AI and data leader in Charlotte, NC for a Regular full-time role. The ideal candidate will design AI models, data architectures, and governance frameworks to improve business processes and regulatory compliance.

You will collaborate with cross-functional teams, translate business needs into technical requirements, and drive enterprise AI initiatives with emphasis on risk management and data quality.