Staff AI Analytics Engineer — Talent & People Insights

Intuit, Inc.

San Diego (CA)

On-site

USD 151,000 - 204,000

Full time

5 days ago
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Job summary

Intuit, Inc. is seeking a Staff Business Data Analyst to drive applied AI experimentation across Talent Analytics, workforce planning, and broader people insights.

This role requires hands-on building and testing of AI solutions, translating between technical experiments and business needs, and coordinating with enterprise AI teams. The role emphasizes rapid prototyping, governance of AI outputs, and collaboration to embed AI capabilities into the analytics product roadmap.

Qualifications

  • 7+ years of experience in business/data analytics or applied AI/ML, with hands-on ownership.
  • Direct, hands-on experience building and deploying AI agents or LLM-powered tools.
  • Knowledge of data warehouse, data pipeline, and data architecture concepts.
  • Experience with dashboard/BI design and data source validation for enterprise use.
  • Ability to define confidence tiers and governance for AI outputs.
  • Strong ability to evaluate feasibility vs. speculative AI use cases and advise build/no-build decisions.

Responsibilities

  • Design and prototyping of rapid AI proof-of-concepts across talent analytics and workforce planning.
  • Build agent-assisted analytics with clear decision boundaries and escalation paths.
  • Define dashboards and self-serve patterns; certify data sources for enterprise use.
  • Partner with enterprise AI Transformation to align standards and roadmaps.
  • Contribute to HR contextual layer alongside Technology and HR teams.
  • Plan roadmaps, provide estimates, and hand off validated solutions to production.

Skills

Hands-on AI/ML
LLM tooling
Data analytics
Excellent communication
Autonomy
Stakeholder management

Education

Bachelor's degree in AI/Data Analytics/CS/Business/HR/IO Psychology

Tools

Claude
GPT
Tableau
Power BI
Workday HCM
Avature

Job description

Intuit, Inc. is seeking a Staff Business Data Analyst to drive applied AI experimentation across Talent Analytics, workforce planning, and broader people insights.

This role requires hands-on building and testing of AI solutions, translating between technical experiments and business needs, and coordinating with enterprise AI teams. The role emphasizes rapid prototyping, governance of AI outputs, and collaboration to embed AI capabilities into the analytics product roadmap.

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