AI Data Readiness Lead
Skills
About the role
This is a remote, senior data governance role at Deepgram, a voice AI company, focused on owning and enforcing the definitions behind the company's key metrics. The role is governance-first: defining metrics, making them enforceable in the semantic layer, and verifying that people and AI agents use them correctly. It suits an analytics or analytics engineering professional with direct ownership of a metrics or semantic layer. Deepgram builds speech-to-text and text-to-speech APIs used by companies like Twilio and Cloudflare.
What you’ll do
- Own the metric registry and establish canonical definitions for the metrics the business runs on
- Convene metric owners to resolve competing definitions and document decisions
- Implement agreed definitions in the semantic layer and data catalog, retiring superseded versions
- Audit the reporting estate, retiring unused assets and assigning ownership
- Build data quality checks and agents for freshness, uniqueness, and referential integrity
- Maintain an inventory of AI agents accessing company data and evaluate their output against known-correct answers
- Make governed data accessible for self-serve querying by people and AI tools
What they’re looking for
- 5+ years in analytics, analytics engineering, or a closely related field
- Strong SQL, including reverse-engineering undocumented transformation logic
- Direct ownership of a semantic or metrics layer in production, such as dbt, Cube, or LookML
- Demonstrated ability to resolve conflicting metric definitions across functions
- Clear written communication for documentation others must trust
- Comfort deprecating and removing work built by others
- Experience evaluating LLM or AI agent output against ground truth
- Experience developing or contributing to a data catalog or lineage tooling
Nice to have
- Experience with lakehouse architectures, Iceberg, Athena, or Trino
- Exposure to audit readiness, SOX, or financial controls environments
- Experience with consumption or usage-based business models
- Experience joining a function early, before process existed
Questions about this role
Is this role remote?
Yes, it's a remote position open to candidates worldwide.
How many years of experience do I need?
5 or more years in analytics, analytics engineering, or a closely related field.
What type of employment is this?
Full-time.
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