Intuit Inc.
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. Responsibilities
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. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. 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 . 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
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.
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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. Responsibilities
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. Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. 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 . 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
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.
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