AI/ML Data Governance Lead

Qualifications

• Experience working with enterprise-scale data platforms and large organizations

• Job Description: Experience10–15 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

• Experience with data governance/catalog tools (Collibra, Atlan, Alation, Informatica)

• 10 years Min with Retail knowledge

• Experience 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

• 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

• 7 more items(s)

Benefits

• Pay range and compensation package

• W2 Contract Only

Responsibilities

• Strong understanding of AI/ML data pipelines: ingestion, labeling, feature engineering, model training

• Familiarity with MLOps tools such as MLflow, Azure ML, SageMaker, Databricks

• 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

• 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

• 5 more items(s)

More job highlights

Job description

About the Company

Experience10–15 years in data governance or data stewardship, including 3–5 years focused on AI/ML dataExperience working with enterprise-scale data platforms and large organizations

About the Role

Job Description: Experience10–15 years in data governance or data stewardship, including 3–5 years focused on AI/ML dataExperience working with enterprise-scale data platforms and l...arge organizations

Responsibilities

• 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

• 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

Qualifications

• 10 years Min with Retail knowledge

• Experience 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

Required 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

Preferred 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

Pay range and compensation package

W2 Contract Only

Equal Opportunity Statement

We are committed to diversity and inclusivity.

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