Staff Applied AI Prototyping Lead, People Analytics

Intuit, Inc.; Mountain View (CA); On-site; USD 170,000 - 229,000; Full time

Job summary

Intuit, Inc. is seeking a Staff Business Data Analyst to drive applied AI experiments across talent analytics, workforce planning, and broader people insights. This hands-on builder role requires turning technical work into business value, prototyping AI concepts and scaling viable ideas across the enterprise.

You will partner with enterprise AI teams to align standards, contribute to HR data governance, and hand off validated solutions with clear documentation and evaluation criteria.

Qualifications

• Hands-on experience building and deploying AI agents or LLM-powered tools.
• Experience with data warehouses, pipelines, and scalable AI analytics.
• Proven ability to translate experiments into business decisions for senior stakeholders.

Responsibilities

• Design and iterate rapid AI proof-of-concept experiments across talent analytics.
• Create agent-assisted analytics with clear decision boundaries and governance.
• Identify new AI capabilities and pilot-worthy use cases for talent analytics.
• Define dashboards for self-serve or conversational analytics and certify data sources.
• Coordinate with enterprise AI teams to align standards and roadmaps.
• Plan production handoffs with data engineering and product teams.

Skills

AI experimentation

Stakeholder communication

Autonomous problem solving

Education

Bachelor's degree in AI, Data Analytics, CS, or related field

Tools

Claude

GPT-4

LLM tooling

Job description

Intuit, Inc. is seeking a Staff Business Data Analyst to drive applied AI experiments across talent analytics, workforce planning, and broader people insights. This hands-on builder role requires turning technical work into business value, prototyping AI concepts and scaling viable ideas across the enterprise.

You will partner with enterprise AI teams to align standards, contribute to HR data governance, and hand off validated solutions with clear documentation and evaluation criteria.