AI & Data Consultant (Metadata Catalog)

Truist•Atlanta, GA

1d•Onsite

About The Position

Designs and builds AI models and data architectures to improve business processes and system performance, collaborating with cross-functional teams to integrate AI solutions and drive continuous improvement. Provides technical guidance, ensures adherence to governance standards, monitors project progress, and leverages AI and analytics to deliver actionable insights and automate data tasks aligned with organizational goals.

Requirements

Bachelor’s degree in Computer Science, Data Science, AI, Software Engineering, a related field, or equivalent education, training, and work-related experience.
Minimum of 5 years of professional experience in AI and data.
Knowledge of AI models, data architectures, and analytics methodologies.

Nice To Haves

Advanced degree in a relevant technical or business discipline.
Experience in the financial services industry or another highly regulated environment.
Experience with data governance, data management, metadata management, data quality, data lineage, or related enterprise data capabilities.
Understanding of AI governance, model risk management, regulatory compliance, risk management, and control frameworks.
Familiarity with data catalog and metadata management platforms, including business glossaries, data lineage, data classification, and critical data element management.
Prior product owner, product management, or capability ownership experience, including defining requirements, prioritizing backlogs, and coordinating delivery across business and technical teams.
Experience planning and managing technical projects or enterprise data initiatives.
Experience translating business, governance, and regulatory requirements into technical solutions and sustainable operating processes.
Experience working with cross-functional stakeholders across business, technology, risk, compliance, and data governance.
Familiarity with agile delivery practices and tools used to manage product requirements, priorities, and implementation.

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. Ensures adherence to AI, data governance, risk management, and control standards aligned with organizational goals, regulatory requirements, and industry best practices.
Analyzes operational processes, identifies opportunities for improvement, and recommends scalable solutions.
Monitors technical project progress, identifies emerging risks and control gaps, and implements mitigation strategies to maintain alignment with business objectives and regulatory expectations.
Drives the automation of repeatable data preparation, integration, governance, and monitoring activities.
Applies AI, analytics, and data insights to solve complex business and operational challenges.
Identifies, assesses, and mitigates risks associated with AI models, data architectures, and data processing activities to support compliance with organizational policies and regulatory requirements.
Partners with business, technology, risk, and governance stakeholders to prioritize capabilities, define requirements, and support delivery.