

Stellar Consulting Solutions, LLC
AI Data Governance Specialist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Data Governance Specialist in Dallas, TX, requiring 10-15 years of data governance experience, including AI/ML focus. Key skills include SQL, Python, and familiarity with MLOps tools. Retail industry experience is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 21, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#Data Governance #Cloud #Redshift #Data Pipeline #Python #GDPR (General Data Protection Regulation) #Informatica #Compliance #Alation #Databricks #ML (Machine Learning) #Leadership #AI (Artificial Intelligence) #Snowflake #BigQuery #MLflow #Azure #SQL (Structured Query Language) #Data Quality #SageMaker #Data Lineage #Collibra #Data Stewardship
Role description
Job Title: AI Data Governance Specialist
Work Location: Dallas, TX (onsite, 5 days/week)
Level of experience: 10 years Min with Retail knowledge
Job Description:
Experience:
• 10–15 years in data governance or data stewardship, including 3–5 years focused on AI/ML data
• Experience working with enterprise-scale data platforms and large organizations
Technical Skills:
• Strong understanding of AI/ML data pipelines: ingestion, labeling, feature engineering, model training
• Familiarity with MLOps tools such as MLflow, Azure ML, SageMaker, Databricks
• Experience with data governance/catalog tools (Collibra, Atlan, Alation, Informatica)
• Working knowledge of SQL and basic Python
• Experience with cloud data platforms (Snowflake, Databricks, BigQuery, Redshift)
• Understanding of feature stores, model registries, and data versioning
Governance & Compliance:
• Ability to develop and enforce AI data governance policies
• Knowledge of GDPR, CCPA, and responsible AI guidelines
• Experience conducting bias reviews, data quality checks, and maintaining data lineage
• Business & Leadership Skills
• Strong analytical thinking with the ability to translate insights into recommendations
• Excellent communication skills across executive and technical teams
• Proven ability to lead cross‑functional governance discussions and drive adoption
• Experience in process improvement and implementing governance workflows
Soft Skills:
• Detail‑oriented, organized, and capable of managing multiple priorities
• Strong stakeholder‑management and relationship‑building skills
• Self‑motivated, adaptable, and comfortable working in a rapidly evolving AI environment
Job Title: AI Data Governance Specialist
Work Location: Dallas, TX (onsite, 5 days/week)
Level of experience: 10 years Min with Retail knowledge
Job Description:
Experience:
• 10–15 years in data governance or data stewardship, including 3–5 years focused on AI/ML data
• Experience working with enterprise-scale data platforms and large organizations
Technical Skills:
• Strong understanding of AI/ML data pipelines: ingestion, labeling, feature engineering, model training
• Familiarity with MLOps tools such as MLflow, Azure ML, SageMaker, Databricks
• Experience with data governance/catalog tools (Collibra, Atlan, Alation, Informatica)
• Working knowledge of SQL and basic Python
• Experience with cloud data platforms (Snowflake, Databricks, BigQuery, Redshift)
• Understanding of feature stores, model registries, and data versioning
Governance & Compliance:
• Ability to develop and enforce AI data governance policies
• Knowledge of GDPR, CCPA, and responsible AI guidelines
• Experience conducting bias reviews, data quality checks, and maintaining data lineage
• Business & Leadership Skills
• Strong analytical thinking with the ability to translate insights into recommendations
• Excellent communication skills across executive and technical teams
• Proven ability to lead cross‑functional governance discussions and drive adoption
• Experience in process improvement and implementing governance workflows
Soft Skills:
• Detail‑oriented, organized, and capable of managing multiple priorities
• Strong stakeholder‑management and relationship‑building skills
• Self‑motivated, adaptable, and comfortable working in a rapidly evolving AI environment






