Intuit
Principal - People Data and Analytics Specialist – AI/ML
Intuit, Mountain View, California, us, 94039
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
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. Translate technical analyses into clear, actionable insights for leaders and build data visualizations/dashboards that communicate complex analytics effectively. Partner with People & Places stakeholders to ensure solutions align with business priorities and collaborate with other analytics teams to share best practices. Act as an AI/ML subject matter expert for people analytics initiatives and stay ahead of emerging AI/ML trends relevant to P&P. Qualifications
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. 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 visualization or narrative to present findings to leadership, translating technical results into clear business implications. End of Day – Research new AI techniques or tools and consider their application to future people analytics projects. 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.
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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
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. Translate technical analyses into clear, actionable insights for leaders and build data visualizations/dashboards that communicate complex analytics effectively. Partner with People & Places stakeholders to ensure solutions align with business priorities and collaborate with other analytics teams to share best practices. Act as an AI/ML subject matter expert for people analytics initiatives and stay ahead of emerging AI/ML trends relevant to P&P. Qualifications
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. 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 visualization or narrative to present findings to leadership, translating technical results into clear business implications. End of Day – Research new AI techniques or tools and consider their application to future people analytics projects. 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.
#J-18808-Ljbffr