**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 pay equity 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.