Senior Leader, People Analytics & AI-Driven Insights

Intuit; Mountain View (CA); On-site; USD 234,000 - 317,000; Full time

Benefits offered by this job

Cash bonus

Equity rewards

Benefits

Job summary

Intuit, Inc. in Mountain View is seeking an experienced Data Science Leader to guide the People Analytics Data Science & Research team.

You will partner with HR leaders, COEs, Finance, and business partners to deliver insights shaping workforce strategies and executive decisions. The role spans strategic forecasting, employee research, talent analytics, and AI-native tools, with a focus on rigorous modeling, interpretability, and scalable approaches.

Qualifications

• 10+ years in people analytics, with deep data science and applied research experience in a people or workforce context.
• 4+ years of experience managing analytics or data science teams; experience managing a multi-team or multi-domain organization strongly preferred.
• Demonstrated depth in predictive and prescriptive modeling, experimentation, and causal inference, sufficient to review and improve others' methodological choices rather than only interpret their conclusions.
• Fluency in SQL and Python or R, with comfort in modern cloud data environments and data workflow management tooling.
• Experience across workforce domains such as headcount forecasting, attrition and retention modeling, hiring funnel analytics, compensation, or organizational effectiveness, and with survey and psychometric research methods.
• Experience building or measuring AI-native analytics products, with a clear point of view on how to evaluate them and how model performance connects to business outcomes.
• Proven experience establishing shared data definitions and reporting standards across functions with competing sources of truth.
• Demonstrated ability to influence senior executives through storytelling, translating complex analysis into a narrative that changes a decision rather than describing a situation.
• Track record of building feedback loops into analytics work, so the team knows what changed as a result and invests accordingly.
• Passion for enabling data-driven, equitable people processes that foster growth and inclusion.

Responsibilities

• Set analytical and modeling direction across workforce forecasting and organizational effectiveness, Voice of Employee research, and AI-native tooling, ensuring consistency and rigor across all domains.
• Apply first-principles thinking to turn People & Places strategy into analytical problems at the function level, and propose and lead the initiatives that follow from it.
• Connect insights across hiring, workforce planning, performance, internal mobility, and employee experience to surface patterns and trade-offs only visible at the portfolio level, and translate them into decision-ready leadership recommendations.
• Combine insights, business acumen, and industry-wide learnings to influence VP-level and above stakeholders, and stand behind a recommendation under scrutiny.
• Partner with P&P COEs, the HRBP community, and Finance leadership to resolve workforce-data definitional questions, including how hires and headcount are defined and reconciled, and present that work credibly with senior stakeholders.

Skills

People analytics

Data science

Leadership

Storytelling

Communication

Tools

SQL

Python

R

Cloud data environments

Data workflow tooling

Job description

Intuit, Inc. in Mountain View is seeking an experienced Data Science Leader to guide the People Analytics Data Science & Research team.

You will partner with HR leaders, COEs, Finance, and business partners to deliver insights shaping workforce strategies and executive decisions. The role spans strategic forecasting, employee research, talent analytics, and AI-native tools, with a focus on rigorous modeling, interpretability, and scalable approaches.