# AI Data Readiness Lead

**Company:** [Deepgram](https://hotfix.jobs/companies/deepgram)
**Location:** Remote
**Role:** Data Engineering
**Salary:** $165k – $220k/yr
**Experience:** 5+ years
**Skills:** SQL, dbt, Cube, Lookml, Semantic Layer, Data Catalog, Data Lineage, Data Quality, Llm Evaluation, AI Agents, Apache Iceberg, Amazon Athena, Trino, Lakehouse Architecture
**Posted:** 2026-09-08

> Own the company’s metric governance program by defining canonical metrics, enforcing them in semantic and catalog systems, improving data quality, and validating AI-agent outputs. Requires 5+ years in analytics or analytics engineering, strong SQL, production semantic-layer ownership, and experience with AI evaluation and data governance.

## Job Description

## Responsibilities
- Own the metric registry and establish canonical definitions for core business metrics.
- Resolve conflicting definitions by convening stakeholders, documenting disagreements, and driving decisions.
- Publish metric-definition changes with clear explanations of impact and rationale.
- Implement approved definitions in the semantic layer and data catalog; retire superseded versions.
- Audit reporting assets, retire unused assets, and establish ownership for retained assets.
- Build data-quality checks and agents covering freshness, uniqueness, referential integrity, and cross-system reconciliation.
- Route data-quality failures to named owners or agents for remediation.
- Maintain an inventory of AI agents accessing company data and the definitions they use.
- Evaluate AI-agent outputs against ground truth and track accuracy, refusal, and error rates.
- Enable trustworthy self-service access to governed data for people and AI tools.

## Requirements
- 5+ years of experience in analytics, analytics engineering, or a closely related field.
- Strong SQL skills, including reverse-engineering undocumented transformation logic.
- Direct production ownership of a semantic or metrics layer using dbt, Cube, LookML, or an equivalent tool.
- Ability to resolve conflicting metric definitions across functions and reach decisions.
- Clear written communication and strong documentation skills.
- Comfort deprecating and removing work created by others.
- Experience evaluating LLM or AI-agent outputs against ground truth.
- Experience developing or contributing to data catalogs and/or lineage tooling.

## Nice to Have
- Experience with lakehouse architectures, Apache Iceberg, Athena, Trino, or similar technologies.
- Exposure to audit readiness, SOX, or financial-controls environments.
- Experience with consumption- or usage-based business models.
- Experience joining a function early, before formal processes existed.

## Compensation
- $165,000–$220,000 annual salary.

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**Apply:** https://hotfix.jobs/jobs/456fe66b-aa42-4f78-a5f7-99231661da49
**Canonical:** https://hotfix.jobs/jobs/456fe66b-aa42-4f78-a5f7-99231661da49