What are the responsibilities and job description for the Data Governance Manager position at LanceSoft, Inc.?
ob title - AI Data Governance Specialist
Work Location: Dallas, TX (onsite, 5 days/week)
Onsite, 5 days a week
Level of experience: 10 years Min with Retail knowledge
Work timings: 8 AM to 4 PM PST
Experience
10–15 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
Technical Skills
- 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
Governance & Compliance
- 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
- Business & Leadership 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
Soft 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.