Intuit Inc

People Analytics Data Science & Research Manager

Intuit Inc • $234K — $316K *
Mountain View, CA 94040In-Person
Business Services
8 - 10 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 10+ years in people analytics with focus on data science and applied research.
  • 4+ years managing analytics or data science teams, preferably in a multi-team environment.
  • Proficient in predictive and prescriptive modeling, experimentation, and causal inference.
  • Fluent in SQL and either Python or R, with experience in modern cloud data environments.
  • Familiar with workforce domains like headcount forecasting, attrition modeling, and psychometric research methods.
  • Experience in building AI-native analytics products, with knowledge of evaluating model performance.
  • Proven ability to establish shared data definitions and reporting standards across functions.

Responsibilities

  • Set analytical direction for workforce forecasting and organizational effectiveness
  • Apply first-principles thinking to translate people strategy into actionable analytical initiatives
  • Connect insights from various HR domains to provide leadership recommendations
  • Co-create analytics strategy for AI-native decision-making tools with cross-functional teams
  • Guide teams towards improved model outcomes through strategic frameworks
  • Ensure consistency and applicability of data science models in workforce planning
  • Lead and develop a distributed team of data scientists, fostering a high-performance culture

Benefits

  • Competitive compensation package with performance-based rewards
  • Possibility of cash bonuses and equity rewards
  • Strong emphasis on equitable pay practices and regular salary comparisons
  • Comprehensive benefits programs supporting employee well-being and growth
Full Job Description
Intuit is seeking an experienced Data Science leader to manage our People Analytics Data Science & Research team at Intuit. Our team partners closely with Intuit's HR leaders, COEs, Finance, and business partners to deliver data-driven insights that shape our people strategies and elevate decision-making across the company. We are looking for an experienced People Analytics Data Science Leader to set analytical direction across workforce forecasting, employee research and listening, talent and mobility analytics, and the AI-native tools that put insight directly in leaders' hands. The portfolio spans predictive modeling, psychometric research, and applied AI, and it continues to evolve. This leader will lead a distributed analytics team and will be accountable for the rigor of the work before it reaches executive audiences.

This is a leadership role for someone who has not stopped being a scientist: you will develop the team and you will personally review model design, challenge assumptions and interpretability, and hold the methodological bar. This role is critical to supporting Intuit's ongoing organizational transformation, ensuring that how we plan, organize, and develop our workforce is scalable, insight-driven, and aligned to our mission of powering prosperity for our people and the company.

Responsibilities
Strategic Thinking and Business Acumen

  • 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 represent that work credibly with senior stakeholders.


Strategy and Measurement for AI-Native Experiences

  • Co-create the analytics strategy for AI-native decision tools in partnership with cross-functional teams, drawing on industry developments, strategic insight, and domain knowledge.
  • Help design strategic frameworks and success measurement across key People & Places initiatives, including AI-powered work.
  • Guide teams toward the data sets, insights, and methodological approaches that improve model outcomes, bringing in both external and internal sources.
  • Influence the analytics product roadmap so the portfolio continues to improve insight and decision-making across the employee lifecycle.
Inference and Algorithms

  • Guide the data science behind workforce planning and organizational effectiveness measures, ensuring the models leaders rely on are sound and consistently applied.
  • Review and challenge the team's models with accountability for assumptions, bias, and interpretability, guiding teams from ambiguous business questions to end-to-end analytical solutions.
  • Build, review, and scale advanced predictive and prescriptive models, applying rigor across experimentation and causal inference.
  • Identify new methodologies and external trends and adapt them to People & Places use cases, creating shareable frameworks that clarify when and how a new approach should be used.
  • Act as a thought partner on build versus buy decisions for analytics workflow tooling, identifying the pain points worth solving.
Leadership

  • Lead a distributed team of data scientists and researchers, deepening both technical craft and the influence that turns analysis into decisions.
  • Set a clear vision for the team, build a high-performance culture, and drive winning results.
  • Own intake and demand management with P&P and business partners, shaping requests into clearly defined deliverables and outcomes.
  • Build feedback loops into how the team works, tracking whether analysis changed a decision and using that to steer where the team invests next.
  • Establish how the team works: standards for methodology review, documentation, and handoff, so quality does not depend on who happens to pick up the work.


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.


Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
The expected base pay range for this position is:
Mountain View $234,000 - $316,500

About Intuit Inc

Intuit offers business and financial management solutions for SMBs, financial institutions, consumers, and accounting professionals. The company’s product portfolio includes TurboTax, a software solution that offers free tax filing, efile taxes, and income tax returns; Quicken; QuickBooks; Mint.com, and more. It also offers end-to-end solutions for online tax preparation, download products, mobile tax prep, mortgage interest and property tax, corporations tax, military tax, and more. Intuit was founded by Tom Proulx and Scott Cook in 1983 and is based in Mountain View, California. The company serves customers in North America, Asia, Europe, and Australia with offices in the United States, Canada, India, U.K., and Singapore.

Intuit Inc Careers

Join the dynamic team at Intuit Inc, a global powerhouse in financial software, where innovation, leadership, and diversity training are at the heart of everything we do. This is an unparalleled opportunity to advance your career with a company that is committed to empowering communities and small businesses with innovative financial solutions.

Work You’ll Do

At Intuit Inc, you’ll be part of a culture that cherishes innovation and values the unique perspectives of its team members. You will collaborate with some of the brightest minds in the industry, using your skills to influence the future of technology and finance. Our team at Intuit Inc is driven by the mission to power prosperity around the world, and you can be at the forefront of this transformation.

Explore Job Opportunities and Growth

Intuit’s career paths are as diverse as the innovative solutions we provide to millions. From finance to software engineering, our job opportunities span across multiple disciplines. Whether you’re looking for a full-time position, an internship, or leadership roles, Intuit offers a world of opportunities for professional growth. Our hiring process is designed to identify and attract professionals who are not only skilled but are also passionate about making a difference.

Professional Development and Benefits

Invest in your future with Intuit’s industry-leading benefits and professional development opportunities. Our employees enjoy comprehensive benefits that ensure their personal and professional satisfaction, including health, wellness, and continuous learning perks. At Intuit, we also understand the importance of diversity training and leadership development, providing various programs that foster an inclusive environment.

Join Our Team

Embark on a journey of growth and innovation at Intuit Inc. Search open positions that match your skills and interests. We are looking for curious, creative, and solution-driven team players. Prepare your resume, ace the interview, and join a team that’s committed to creating solutions that power prosperity around the globe.

Networking and Career Advancement

At Intuit Inc, networking and internal mobility are encouraged to foster professional growth and innovation. Connect with leaders and peers through our various networking events, mentorship programs, and collaborative projects. With support at every step of your career, the opportunities at Intuit are limitless.

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Explore Careers at Intuit Inc

Discover the exciting and rewarding career opportunities awaiting you at Intuit Inc. Let your ambition lead you to success. Join us in our mission to power prosperity and contribute to our journey of continuous innovation.

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At Intuit Inc, every role is a chance to innovate, grow, and make an impact. Join us, and together let's shape the future of finance.
Learn more about Intuit Inc
Size
13,500 employees
Market Cap
$107.4 billion
Industry
Consumer Technology
Net Income
$1.7 billion
Founded
1983
5 Year Trend
+19.6%
Revenue
$7.7 billion
NASDAQ
INTU
* Ladders Estimates

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