AI Metrics & Data Governance Lead

Deepgram; Northern (KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Deepgram is seeking an Analytics Governance professional to own the metric registry, making canonical definitions and enforcing them across systems. You will reduce surface area, build data quality checks, and maintain an inventory of AI agents using company data, ensuring accuracy and traceability.

You will enable self-serve access to governed data for analysts and AI tools. The role emphasizes governance-first, with deep technical work on pipelines, metadata, and lineage, requiring strong

Qualifications

• 5+ years in analytics, analytics engineering, or a closely related field.
• Strong SQL, including comfort reverse-engineering undocumented transformation logic written by others.
• 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. Most of your output is documentation others must trust without re-deriving it.
• Comfort deprecating and removing work that others built.
• Experience evaluating LLM or AI agent output against ground truth.
• Experience developing or contributing to a data catalog and/or lineage tooling.

Responsibilities

• Own the metric registry. Establish canonical definitions for the metrics the business runs on.
• Where competing versions exist, convene the owners, document the disagreement, and drive to a decision.
• Publish changes with a clear statement of what moves and why.
• Make definitions enforceable in the semantic layer and data catalog so they are applied by the system.
• Retire superseded versions.
• Reduce the surface area. Audit the reporting estate, retire assets with no audience, and establish ownership for what remains.
• Build data quality checks/agents. Freshness, uniqueness, referential integrity, and cross-system reconciliation.
• Verify AI agents. Maintain an inventory of agents accessing company data and the definitions each relies on.
• Evaluate agent output against known-correct answers and track accuracy, refusal, and error rates.
• Enable self-serve. Make governed data accessible and trustworthy for people querying it directly or through AI tools.

Skills

SQL proficiency

Data modeling

Documentation

Communication

AI/LLM evaluation

Governance

Tools

dbt

Cube

LookML

Job description

Deepgram is seeking an Analytics Governance professional to own the metric registry, making canonical definitions and enforcing them across systems. You will reduce surface area, build data quality checks, and maintain an inventory of AI agents using company data, ensuring accuracy and traceability.

You will enable self-serve access to governed data for analysts and AI tools. The role emphasizes governance-first, with deep technical work on pipelines, metadata, and lineage, requiring strong