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Overview

We are seeking an exceptional **Principal People Data & Analytics Specialist** with deep expertise in **artificial intelligence (AI)** and **machine learning (ML)** to advance our data-driven decision-making capabilities across the enterprise. In this highly impactful **individual contributor** role, you will design, develop, and implement AI-powered analytics solutions that drive insights into the employee lifecycle, workforce trends, and organizational health.

You will work hands-on with advanced analytics methods, translating complex data into compelling narratives that influence leaders and shape talent strategies.

What you'll bring

+ **8+ years** of experience in people data, workforce analytics, or related advanced analytics roles.

+ Demonstrated expertise in **AI and ML** , including **practical implementation** of algorithms and models in production environments.

+ Proficiency in programming languages such as **Python** or **R** , with strong experience in **data wrangling, modeling, and visualization** .

+ Strong applied experience with **predictive analytics, NLP, and sentiment analysis** techniques.

+ Ability to work independently in **ambiguous, fast-paced environments** and deliver impactful outcomes.

+ Exceptional **storytelling and communication skills** to convey technical findings to non-technical audiences.

+ Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field; **Master’s preferred** .

EXTRA - EXTRA

What Makes This Role Unique

+ **Principal-level influence** without people management — you will be a **hands-on expert** shaping enterprise analytics strategy.

+ Opportunity to **push the boundaries** of AI and ML applications in HR.

+ Direct line of impact on **employee experience, talent outcomes, and organizational performance** .

Typical Day in This Role

While priorities shift based on business needs, a typical day might include:

+ **Morning** – Review updates to active AI/ML models and dashboards, investigate anomalies in predictive analytics outputs, and respond to questions from HR and business stakeholders about data insights.

+ **Late Morning** – Conduct exploratory data analysis for a new project, such as predicting skill gaps for critical roles or modeling attrition risk in a specific business unit.

+ **Midday** – Join a working session with cross-functional partners to refine model requirements or define data sources for an upcoming AI-powered engagement analysis.

+ **Afternoon** – Build or refine a machine learning pipeline in Python or R, train/test models, and validate their performance against real-world datasets.

+ **Late Afternoon** – Prepare a compelling visualization or narrative to present findings to leadership, ensuring technical results are translated into clear business implications.

+ **End of Day** – Research new AI techniques or tools (e.g., transformer models for sentiment analysis) and consider how they could be applied to future people analytics projects.

How you will lead

AI/ML Analytics Development

+ Design, build, and deploy **predictive and prescriptive models** to optimize talent acquisition, performance management, engagement, and retention.

+ Implement **machine learning algorithms** to forecast workforce trends (e.g., attrition, career velocity, skill evolution).

+ Develop and operationalize **natural language processing (NLP)** solutions for **sentiment analysis** of employee feedback, surveys, and communications.

+ Identify and integrate **AI-driven tools** that can be embedded into core People & Places platforms.

Insights & Storytelling

+ Translate technical analyses into **clear, actionable insights** for leaders across the organization.

+ Build **data visualizations and dashboards** that make complex analytics approachable and compelling.

+ Partner with People & Places stakeholders to ensure solutions align with business priorities.

Collaboration & Influence

+ Work closely with P&P, business leaders, and technology partners to define analytical requirements.

+ Collaborate with other analytics teams to share **best practices** , methods, and tools.

+ Act as an **AI/ML subject matter expert** for people analytics initiatives.

Innovation & Research

+ Stay ahead of **emerging AI, ML, and advanced analytics trends** relevant to P&P and organizational science.

+ Evaluate and pilot **new technologies, frameworks, and algorithms** to enhance insights.

_Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is:_

Bay Area California $216,000 - $292,500

_This position will 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_ _Intuit®: Careers | Benefits (https://www.intuit.com/careers/benefits/full-time-employees/)_ _)._

_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._

EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.