AI & Data Consultant (Metadata Catalog)

Truist•Atlanta, GA

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. The position designs and delivers AI models, data architectures, and data solutions; develops technical solutions and collaborates with cross-functional teams to integrate AI and data capabilities into business applications; and conducts experiments to evaluate performance, effectiveness, and business value. It supports enterprise AI, data, and analytics capabilities, translates business needs into technical requirements, and applies data management, governance, risk, and control standards. The role also analyzes operational processes, monitors project progress and risks, automates repeatable data activities, and partners with business, technology, risk, and governance stakeholders to prioritize capabilities and support delivery.

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.
English language fluency.

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

Design and deliver AI models, data architectures, and data solutions that improve business processes and system performance.
Develop technical solutions and collaborate with cross-functional teams to integrate AI and data capabilities into business applications.
Conduct experiments and evaluate the performance, effectiveness, and business value of AI and data initiatives to support continuous improvement.
Support technical innovation and the advancement of enterprise AI, data, and analytics capabilities.
Provide technical guidance to AI and data teams and translate business needs into actionable technical requirements.
Apply data management and data governance principles throughout the design and implementation of AI and data solutions.
Ensure adherence to AI, data governance, risk management, and control standards aligned with organizational goals, regulatory requirements, and industry best practices.
Analyze operational processes, identify opportunities for improvement, and recommend scalable solutions.
Monitor technical project progress, identify emerging risks and control gaps, and implement mitigation strategies to maintain alignment with business objectives and regulatory expectations.
Drive automation of repeatable data preparation, integration, governance, and monitoring activities.
Apply AI, analytics, and data insights to solve complex business and operational challenges.
Identify, assess, and mitigate risks associated with AI models, data architectures, and data processing activities to support compliance with organizational policies and regulatory requirements.
Partner with business, technology, risk, and governance stakeholders to prioritize capabilities, define requirements, and support delivery.

Benefits

Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
Accidental death and dismemberment coverage
Tax-preferred savings accounts
401(k) plan
At least 10 days of vacation during the first year, prorated based on hire date and full-time or part-time status
10 sick days, prorated
Paid holidays
Depending on position and division, the job may also be eligible for a defined benefit pension plan, restricted stock units, and/or a deferred compensation plan.