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 large 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.
