Intuit is seeking an exceptional Principal People Data & Analytics Specialist with deep expertise in artificial intelligence (AI) and machine learning (ML) to advance its data-driven decision-making capabilities across the enterprise. The role aims to design, develop, and implement AI-powered analytics solutions that drive insights into the employee lifecycle, workforce trends, and organizational health, translating complex data into compelling narratives that influence leaders and shape talent strategies.
Requirements
- 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.
- Experience with transformer models for sentiment analysis.
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.
- Build data visualizations and dashboards that make complex analytics approachable and compelling.
- Collaborate with other analytics teams to share best practices, methods, and tools.
- Evaluate and pilot new technologies, frameworks, and algorithms to enhance insights.
Other
- 8+ years of experience in people data, workforce analytics, or related advanced analytics roles.
- Exceptional storytelling and communication skills to convey technical findings to non-technical audiences.
- Ability to work independently in ambiguous, fast-paced environments and deliver impactful outcomes.
- Principal-level influence without people management — you will be a hands-on expert shaping enterprise analytics strategy.
- Master’s preferred.
