Principal, Business Operations & AI Transformation

Intuit; Mountain View (CA); On-site; USD 197,000 - 266,000; Full time

Job summary

Intuit in Mountain View is seeking a Business Operations Principal to lead strategic transformation, partnering with executives and cross-functional teams to improve operating performance and metric-driven execution.

You will analyze company-wide data, design frameworks, and drive end-to-end initiatives from hypothesis to rollout, helping scale AI-driven processes and operational excellence across Product, Engineering, Marketing, Finance, and Analytics.

Qualifications

• 8-10+ years delivering strategic and operational impact in tech or SaaS.
• Experience at high-growth startups or large tech companies with strategy/ops focus.
• Proven ability to translate data into actionable business insights and recommendations.
• Excellent communication and storytelling skills for executive audiences.

Responsibilities

• Provide thought leadership to identify opportunities for operational excellence.
• Analyze company performance data to deliver actionable recommendations.
• Partner with senior leaders across Product, Engineering, Marketing, Finance, Analytics to solve complex problems.
• Lead strategic initiatives end-to-end from hypothesis to implementation.
• Design frameworks and operating models to accelerate decision-making and best practices.
• Learn from internal and external best practices and scale them across the company.

Skills

Strategic thinking

Operational excellence

Data analysis

Cross-functional leadership

Executive communication

Change management

Workshop facilitation

Business storytelling

Learning agility

Education

MBA or equivalent

Tools

AI tooling experience

Job description

Intuit in Mountain View is seeking a Business Operations Principal to lead strategic transformation, partnering with executives and cross-functional teams to improve operating performance and metric-driven execution.

You will analyze company-wide data, design frameworks, and drive end-to-end initiatives from hypothesis to rollout, helping scale AI-driven processes and operational excellence across Product, Engineering, Marketing, Finance, and Analytics.