AI Data Readiness Lead

Job not on LinkedIn

🔥 3 minutes ago

🇺🇸 United States – Remote

💵 $165k - $220k / year

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 18%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Deepgram

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2015

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 $47M Series B on 2022-11

Consulting • Healthcare • Logistics

Deepgram is a leading voice AI company that provides powerful APIs for speech-to-text, text-to-speech, and language understanding applications. Their platform enables developers to build sophisticated voice AI solutions for use cases such as contact centers, medical transcription, conversational AI, and more. Known for unmatched accuracy, speed, and cost-effectiveness, Deepgram's technology is trusted by top enterprises and startups worldwide. By offering real-time and highly accurate transcription capabilities, Deepgram helps businesses gain insights from voice data, making it an essential tool for transforming voice interactions.

📋 Description

• Own the metric registry and establish canonical definitions for business metrics • Convene owners, document disagreements, drive decisions, and publish metric changes with rationale • Implement agreed definitions in the semantic layer and data catalog • Retire superseded metric versions • Audit the reporting estate and retire assets with no audience • Establish ownership for remaining reporting assets • Build data quality checks and agents for freshness, uniqueness, referential integrity, and cross-system reconciliation • Route data-quality failures to named owners or agents • Maintain an inventory of AI agents accessing company data and the definitions they rely on • Evaluate AI-agent output against known-correct answers and track accuracy, refusal, and error rates • Enable people and AI tools to access governed, trustworthy data • Work in a governance-first role with technical depth; defining, implementing, and validating are primary activities

🎯 Requirements

• 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 using 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 • Experience evaluating LLM or AI agent output against ground truth • Experience developing or contributing to a data catalog and/or lineage tooling • Nice to have: experience with lakehouse architectures, Iceberg, Athena, Trino, or similar • Nice to have: exposure to audit readiness, SOX, or financial controls environments • Nice to have: experience with consumption or usage-based business models • Nice to have: having joined a function early, before process existed • Comfortable adopting new AI models and modes quickly, integrating AI into workflows, and continuously experimenting • Must be located in the United States

🏖️ Benefits

• Bonus • Base salary range reflects work location and job-related skills and experience • AI tools and experimentation integrated into everyday work • Flexible, evolving work environment rather than a traditional 9-to-5 schedule