AI Data Governance Specialist

Ampcus Inc; Dallas (TX); On-site; USD 120,000 - 150,000; Full time

Job summary

Ampcus Inc in Dallas, TX is seeking an AI Data Governance Specialist to lead AI/ML data governance initiatives ensuring data quality and compliance. The ideal candidate has 10-15 years in data governance and 3-5 years in AI/ML data governance within a large enterprise, particularly in retail. Responsibilities include developing governance frameworks, overseeing data lifecycle management, and conducting bias detection for AI models. A strong understanding of AI/ML data pipelines and proficiency in data governance tools are essential.

Qualifications

• 10-15 years of experience in data governance or related fields.
• 3-5 years of experience specifically in AI/ML data governance.
• Prior experience in the retail domain.

Responsibilities

• Develop and enforce AI data governance frameworks and policies.
• Oversee data lifecycle management including ingestion and labeling.
• Ensure data quality and integrity across AI/ML pipelines.
• Conduct bias detection and compliance reviews for AI models.
• Collaborate with cross-functional teams on governance practices.

Skills

Data governance

AI/ML data governance

Analytical skills

Problem-solving

Stakeholder management

Tools

Collibra

MLflow

Azure ML

SageMaker

Databricks

SQL

Python

Snowflake

BigQuery

Redshift

Job description

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Job Title

AI Data Governance Specialist

Location

Dallas, TX

Job Description

We are 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.

Key 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).

Required Experience

• 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.

Technical Skills

• 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.

Governance & Compliance

• 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.

Business & Leadership Skills

• 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.

Soft Skills

• 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.

Work Hours

08:00 AM - 04:00 PM PST.

Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.