below marketmost similar roles pay hereabove market
This role pays more than
94%
of similar roles. Most pay
$159,000–$214,900
— the blue band above.
At the midpoint, this role pays about
$275k
versus about
$187k
for comparable roles.
Based on 240 similar postings.
Employer
About Intuit
Intuit is a financial software company known for products like TurboTax, QuickBooks, Mint, and Credit Karma, helping consumers and small businesses manage their finances and taxes. Industry: Financial Software & Technology
Intuit currently has
224 open roles
on FindRole.
Listed pay typically runs
$202,500–$274,000
across 203 roles with salary data.
JOB TITLE: Manager 3, People Analytics (Research & Data Science)
The Manager 3, People Analytics (Research & Data Science) leads a distributed team of data scientists and researchers to deliver data-driven insights for people strategies. This leader sets the analytical direction for workforce forecasting, employee research, talent mobility, and AI-native tools. Key responsibilities include reviewing model designs for rigor, challenging assumptions, and translating complex analysis into leadership recommendations. The role requires building and scaling predictive and prescriptive models while managing demand from HR and Finance partners. Candidates must possess deep experience in psychometric research, causal inference, and experimentation. Technical requirements include fluency in SQL and Python or R, along with experience in cloud data environments. The work focuses on solving organizational transformation problems by making workforce planning and employee experience data-driven and scalable.
Set the analytical direction for workforce forecasting, employee research, and AI-native tooling.
Translate People & Places strategies into specific analytical problems and lead the resulting initiatives.
Review and challenge model designs for assumptions, bias, and interpretability to ensure methodological rigor.
Build and scale advanced predictive and prescriptive models using experimentation and causal inference.
Co-create analytics strategies and success measurements for AI-native decision tools.
Manage the intake of requests from business partners and shape them into clearly defined deliverables.
Establish standards for methodology review, documentation, and handoffs to ensure consistent work quality.
Influence VP-level stakeholders by translating complex analysis into decision-ready leadership recommendations.
What we're looking for
10+ years of experience 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 to review and improve others' methodological choices.
Fluency in SQL and Python or R with comfort in modern cloud data environments and data workflow management tooling.
Experience across workforce domains including headcount forecasting, attrition, hiring funnels, compensation, and psychometric research methods.
Experience building or measuring AI-native analytics products and evaluating 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 by translating complex analysis into narratives that drive decision-making.
Data Analytics
Artificial Intelligence
SQL
Tableau
ETL
Data Architecture
Data Pipelines
Agile
Distributed Software
UX Design
Data Quality
Data Strategy
Software Development