AI & Data Consultant – Data Governance, Authorized Provisioning Point

Truist

Data Governance Consultant managing data governance strategies in a financial services firm. Collaborating with stakeholders to drive data management and compliance initiatives while ensuring data asset oversight.

Posted 6/26/2026full-timeAtlanta • North Carolina, Virginia • 🇺🇸 United StatesMid-LevelSenior💰 $110,000 - $140,000 per yearWebsite

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

data governancedata managementdata qualitymetadata managementdata privacydata architectureAI modelsanalytics methodologiescloud data ecosystemsdata cataloging

Soft Skills

analytical skillscommunication skillsinfluencing skillsfacilitation skillscollaborationchange managementproblem-solvingstakeholder engagementtrainingcross-functional teamwork

Tools & Technologies

CollibraInformatica AxonAlationSolidatusAWSAzureGoogle CloudPower BITableauAgile methodologies

Industry Keywords

data stewardshipdata asset ownershipGDPRCCPABCBS 239HIPAASOXdata culture maturitydata remediationdata governance frameworks

Tech Stack

Tools & technologies

AWSAzureCloudInformaticaTableau

About the role

Key responsibilities & impact

Support the enterprise Authorized Provisioning Point / Authorized Data Source program within the AI & Data Organization
Support the definition of a data domain based model, partner with stakeholders across architecture, technology delivery, and the LOB to define strategies and implementation roadmaps to bring the program into reality
Support program execution and asset certification
Draft and maintain corresponding policies, frameworks, standards, and procedures
Support data-products strategy and intersection with enterprise ontologies
Support the definition and implementation of an operating model to cover data asset ownership and data stewardship
Support the implementation of core data management and governance capabilities against identified data assets
Develop and maintain policies, standards and technology in support of enterprise Data Governance
Create and implement processes and procedures to support data standards and control frameworks
Provide subject matter expertise in the planning and execution of data management activities such as data sourcing, metadata management, data quality, data privacy or records management
Drive solution design and execution of multi-pronged data governance efforts that span across platforms and business/technology areas to address enterprise data needs
Implement strategic data governance capabilities by working with business and technology partners to document requirements and create action plans
Perform oversight and inspection of critical data management practices for adherence to established data policies and control frameworks
Identify data issues and work with technology, risk and business partners to triage, track, communicate, mitigate and remediate the issues to closure
Support the production of metrics and measures to track progress and adherence, escalating as needed to various committees for visibility and program accountability
Understand and integrate relevant regulations and industry trends into work plans, exploring emerging frameworks and assessing feasibility using proof of concepts
Collaborate closely with peer teams to ensure coordination, synergy and seamless overall execution
Champion and drive improvement in enterprise data management practices throughout the organization

Requirements

What you’ll need

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
Preferred Qualifications: Experience with enterprise data governance platforms such as Collibra, Informatica Axon, Alation, Solidatus, or equivalent tools
Demonstrated ability to define and implement data governance operating models, including stewardship, ownership, and accountability structures
Working knowledge of cloud data ecosystems (e.g., AWS, Azure, Google Cloud), including data governance, data cataloging, and data security capabilities
Experience developing metadata strategies, lineage visualization, and automated metadata harvesting
Familiarity with regulatory frameworks impacting data (e.g., GDPR, CCPA, BCBS 239, HIPAA, SOX) and experience operationalizing compliance requirements
Proven ability to execute cross-functional data remediation or data quality improvement initiatives with measurable outcomes
Strong analytical skills with experience building dashboards, KPIs, and data quality scoring using tools such as Power BI, Tableau, or similar platforms
Experience with Agile delivery methodologies and working within Agile teams or supporting Agile data governance enablement
Advanced communication, influencing, and facilitation skills, particularly in communicating complex data concepts to non-technical audiences
Proven ability to guide organizations through data culture maturity improvements, including training and change management operations
Experience evaluating and integrating AI/ML data governance considerations (e.g., model data lineage, training data controls, bias auditing)

Benefits

Comp & perks

medical
dental
vision
life insurance
disability
accidental death and dismemberment
tax-preferred savings accounts
401k plan
no less than 10 days of vacation
10 sick days
paid holidays