Senior Insights Architect: AI-Driven Engineering Analytics

Intuitive Surgical, Inc. in; Sunnyvale (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Intuitive invites a Senior Insights Architect for Analytics and AI Solutions to lead design and implementation of advanced analytics, data product architecture, and AI integrations across Engineering and Supply Chain.

You'll partner with data engineers, data scientists, and product teams to deliver scalable data products, ensure data quality and governance, and advance responsible AI practices while keeping pace with evolving ML and GenAI technologies.

Qualifications

• 10+ years of hands-on analytics solutions in engineering data.
• Experience with Snowflake, Tableau, BOXI.
• Deploying ML models and GenAI applications in production.
• LLM API integration (OpenAI, Azure OpenAI).
• Strong SQL and data warehousing knowledge.
• Explainable AI, governance, and bias detection.

Responsibilities

• Translate stakeholder analytics needs into scalable data products.
• Design and develop analytics and data products with predictive models.
• Prototype and evaluate AI/ML approaches for engineering problems.
• Manage analytics data product roadmaps with AI initiatives.
• Collaborate with data engineers, data scientists, and product engineers.
• Ensure data quality, security, and governance including responsible AI.
• Influence across teams to adopt AI tools and platforms.
• Stay current with AI trends in data and engineering management.

Skills

SQL

AI/ML concepts

Communication

Teamwork

Stakeholder influence

Education

Bachelor's or Master's in CS/DS/AI

Tools

Snowflake

Tableau

BOXI

LLM APIs

Job description

Intuitive invites a Senior Insights Architect for Analytics and AI Solutions to lead design and implementation of advanced analytics, data product architecture, and AI integrations across Engineering and Supply Chain.

You'll partner with data engineers, data scientists, and product teams to deliver scalable data products, ensure data quality and governance, and advance responsible AI practices while keeping pace with evolving ML and GenAI technologies.