AI Data Governance & Quality Lead

Deepgram; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Deepgram seeks a governance‑focused analytics professional to own metric definitions and the semantic layer, ensuring trusted data for AI-enabled decision making. You will define canonical metrics, enforce definitions in the data catalog, and reduce the reporting surface area while safeguarding data quality and lineage across teams.

You will collaborate with analytics engineers and product teams to enable self‑serve data access and improve governance ofAI-driven insights in a fast-paced,

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. Implement agreed definitions in the semantic layer and data catalog so they are applied by the system rather than described in a document.
• Retire superseded versions.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.
• Enable self‑serve. Make governed data accessible and trustworthy for people querying it directly or through AI tools.

Skills

SQL

Semantic layer

dbt

LookML

AI governance

Data quality

Tools

Cube

LookML

Athena

Trino

Iceberg

Job description

Deepgram seeks a governance‑focused analytics professional to own metric definitions and the semantic layer, ensuring trusted data for AI-enabled decision making. You will define canonical metrics, enforce definitions in the data catalog, and reduce the reporting surface area while safeguarding data quality and lineage across teams.

You will collaborate with analytics engineers and product teams to enable self‑serve data access and improve governance ofAI-driven insights in a fast-paced,