AI-Enabled Data Governance Lead for Healthcare Analytics

GRP SCAN Group; City of Long Beach (NY); Hybride; USD 80 000 - 138 000; Plein temps

Avantages offerts par ce poste

Bonus program

Wellness program

Generous PTO

11 holidays and floating day

Résumé du poste

SCAN is seeking a data governance and AI enablement professional to advance our enterprise data foundations, improve data quality, and empower AI-powered analytics across a modern data platform.

You will collaborate with data stewards, platform teams, and leadership to standardize business terminology, implement governance workflows, and drive AI-ready data governance across key domains.

Qualifications

• Bachelor's degree or equivalent experience in a relevant field.
• 3+ years in data engineering/governance or related data-focused role.
• Experience in healthcare data environments preferred.
• Experience with semantic layers, ontologies, knowledge graphs, or metadata-driven discovery.
• Familiarity with Snowflake, Iceberg/Delta Lake, data catalogs, lineage, and governance.

Responsabilités

• Develop and govern enterprise data assets, glossaries, and metadata.
• Strengthen semantic foundation with dimensional models and governed metrics.
• Support ontology and knowledge graph initiatives to improve data connectivity and AI comprehension.
• Document data assets, lineage, and ownership across platforms (Snowflake, Databricks, Iceberg).

Connaissances

SQL

Power BI

Tableau

Knowledge management

Agile

Data governance

Data quality

AI-assisted documentation

Formation

Bachelor's degree in information systems or related field

Outils

Snowflake

Databricks

Iceberg

Power BI

Tableau

SSRS

Cortex Code

Claude Code

Description du poste

SCAN is seeking a data governance and AI enablement professional to advance our enterprise data foundations, improve data quality, and empower AI-powered analytics across a modern data platform.

You will collaborate with data stewards, platform teams, and leadership to standardize business terminology, implement governance workflows, and drive AI-ready data governance across key domains.