The AI Data Governance Lead will design and implement governance frameworks for data and AI, ensuring compliance and enabling safe AI use across organizations while mentoring teams and engaging senior stakeholders.

Design and implement data governance frameworks, ownership and stewardship models, maturity assessments, and data quality processes. Align governance with platforms and metadata/catalog tools, facilitate training and stakeholder workshops, and embed practices to improve compliance and decision-making.

Lead high-impact engagements in advanced analytics and AI, designing secure architectures, guiding executive stakeholders, and mentoring teams while driving measurable business value.

Intelligen is seeking Data Engineers with 3-5+ years of experience in ETL and DWH technologies, particularly with Snowflake and dbt, to improve client data models and pipelines.

The AI Architect will design secure and scalable AI architectures, embed governance, guide implementation teams, and communicate value to stakeholders.

As a Senior Consultant in Data Governance, you'll design and implement governance frameworks and policies while coordinating client stakeholders to enhance data trust and compliance, particularly in AI integrity.