AI Data Governance Specialist
DPP Tech, Inc.
28 days ago
Role details
Contract type
Permanent contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
IntermediateJob location
Tech stack
Artificial Intelligence
Google BigQuery
Data Governance
Data Infrastructure
Python
Meta-Data Management
Cloud Services
Standard Sql
Azure
Management of Software Versions
Feature Engineering
Snowflake
Data Lineage
Collibra
Data Management
Machine Learning Operations
Redshift
Databricks
Job description
- Define and implement AI data governance frameworks, policies, and standards
- Oversee AI/ML data lifecycle including ingestion, labeling, feature engineering, and model training
- Ensure data quality, lineage, and compliance across enterprise data platforms
- Conduct bias assessments and responsible AI reviews
- Collaborate with data scientists, engineers, and business teams to drive governance adoption
- Manage and optimize data cataloging and metadata management tools
- Lead cross-functional discussions and governance workflows
- Ensure compliance with GDPR, CCPA, and AI governance standards
Requirements
- 10-15 years of experience in data governance / data stewardship
- 3-5 years of experience supporting AI/ML data environments
- Strong knowledge of AI/ML pipelines and MLOps tools (MLflow, Azure ML, SageMaker, Databricks)
- Experience with data governance tools (Collibra, Atlan, Alation, Informatica)
- Hands-on experience with cloud data platforms (Snowflake, Databricks, BigQuery, Redshift)
- Strong understanding of data lineage, data quality, and metadata management
- Working knowledge of SQL and Python
- Experience with feature stores, model registries, and data versioning, * Experience in Retail / Supply Chain domain
- Strong understanding of Responsible AI and regulatory compliance
- Proven ability to drive process improvements and governance adoption, * Strong communication and stakeholder management skills
- Analytical mindset with problem-solving ability
- Ability to work in a fast-paced, evolving AI environment