AI Data Governance Specialist

Ampcus Inc. • Dallas, TX

1d • Onsite

About The Position

Ampcus Inc. is seeking an experienced AI Data Governance Specialist to lead governance initiatives for AI/ML data across enterprise-scale platforms. This role will focus on ensuring data quality, compliance, lineage, and ethical AI practices while supporting scalable machine learning operations in a retail environment.

Requirements

• 10–15 years of experience in data governance, data stewardship, or related fields.
• 3–5 years of experience specifically in AI/ML data governance.
• Experience working in large, enterprise-scale environments.
• Prior experience in the retail domain is required.
• Strong understanding of AI/ML data pipelines (ingestion, labeling, feature engineering, model training).
• Experience with MLOps platforms such as MLflow, Azure ML, SageMaker, or Databricks.
• Proficiency with data governance/catalog tools (Collibra, Atlan, Alation, Informatica).
• Working knowledge of SQL and basic Python.
• Familiarity with cloud data platforms (Snowflake, Databricks, BigQuery, Redshift).
• Understanding of feature stores, model registries, and data versioning.
• Expertise in developing and implementing AI data governance policies.
• Knowledge of GDPR, CCPA, and Responsible AI frameworks.
• Experience with bias detection, data validation, and lineage tracking.
• Strong analytical and problem-solving abilities.
• Ability to translate technical insights into actionable business recommendations.
• Excellent communication skills with both technical and executive stakeholders.
• Proven experience leading cross-functional governance initiatives.
• Experience driving process improvements and governance adoption.
• Detail-oriented with strong organizational skills.
• Effective stakeholder management and relationship-building abilities.
• Self-driven, adaptable, and comfortable in fast-paced AI environments.
• Ability to manage multiple priorities simultaneously.

Responsibilities

• Develop and enforce AI data governance frameworks, policies, and standards.
• Oversee data lifecycle management including ingestion, labeling, feature engineering, and model training datasets.
• Ensure data quality, integrity, and lineage across AI/ML pipelines.
• Conduct bias detection, fairness assessments, and compliance reviews for AI models.
• Collaborate with data engineering, data science, and business teams to align governance practices.
• Implement and manage governance workflows using enterprise data catalog tools.
• Drive adoption of governance best practices across cross-functional teams.
• Support regulatory compliance initiatives (GDPR, CCPA, Responsible AI).

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed