AI Data Readiness Lead

📋 Description

• Own the metric registry: establish canonical definitions for the metrics the business runs on
• Make definitions enforceable: implement agreed definitions in the semantic layer and data catalog
• Reduce the surface area: audit the reporting estate, retire assets with no audience, and establish
• Build data quality checks/agents: implement checks for freshness, uniqueness, referential
• Verify AI agents: maintain an inventory of agents accessing company data and the definitions they
• Enable self-serve: make governed data accessible and trustworthy for people querying it directly or

🎯 Requirements

• 5+ years in analytics, analytics engineering, or a closely related field
• Strong SQL, including comfort reverse-engineering undocumented transformation logic written by
• Direct ownership of a semantic or metrics layer in production — dbt, Cube, LookML, or equivalent
• Demonstrated ability to resolve conflicting metric definitions across functions and land a decision
• Clear written communication
• Comfort deprecating and removing work that others built

🎁 Benefits

• Offers Bonus
• Salary range: $165K – $220K (multiple tiers)