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Advisor specialty

Data Governance Engineer

Builds the tooling that enforces data rules in practice, not just on paper.

This describes a type of expertise, not a specific person. Ask us and we will tell you who in our network fits your initiative.

Problems solved

  • Teams argue about whose numbers are right: shared definitions and metrics people trust.
  • Leaders need confidence that AI is safe and accountable: clear policies, reviews and controls for AI.
  • Data sits in separate systems, so no one sees the full picture: one connected view of orders, production and supply.

Typical deliverables

  • Current-state assessment and prioritized recommendations
  • Regular reviews and guidance for your team
Platforms
Snowflake, Databricks, OpenAI, Claude, Microsoft Azure
Examples only. Not every specialist uses every platform.
Engagement type
Assessment, Ongoing advisory
Selection criteria
Suggested: 5 to 8 years of relevant hands-on experience.
A guideline, not proof of seniority.