Trilyon, Inc.
AI/ML Data Governance Specialist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Data Governance Specialist based in Dallas, TX, for 9 months at $70.00/hour. Requires 10+ years in data governance with retail experience, strong AI/ML data pipeline knowledge, and familiarity with MLOps tools.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
560
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🗓️ - Date
April 21, 2026
🕒 - Duration
More than 6 months
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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
#Azure #SQL (Structured Query Language) #SageMaker #Data Governance #Alation #Cloud #Collibra #Databricks #Informatica #Python #Redshift #ML (Machine Learning) #AI (Artificial Intelligence) #Snowflake #Data Pipeline #BigQuery #MLflow #Data Stewardship
Role description
Job Title: AI Data Governance Specialist
Location: Dallas, TX
Job Duration: 9 months
Pay Rate: $70.00/hour
Level of experience: 10 years Min with Retail knowledge
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
Job Title: AI Data Governance Specialist
Location: Dallas, TX
Job Duration: 9 months
Pay Rate: $70.00/hour
Level of experience: 10 years Min with Retail knowledge
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
