We are seeking a highly skilled and experienced Senior Manager, Pricing Analytics & Data Science to lead our efforts in driving data-driven pricing strategies and answering critical business questions that shape our company's future. This role demands a blend of deep analytical expertise, data science capabilities, exceptional project management skills, and a strong understanding of pricing and packaging within a dynamic SaaS environment. The ideal candidate will be a strategic thinker, skilled problem-solver, and collaborative leader, capable of managing complex analytical projects that directly impact revenue growth and customer success. Responsibilities include applying expert-level data analysis, statistical modeling, and machine learning techniques to identify pricing opportunities and optimize revenue; developing and maintaining sophisticated pricing models, predictive algorithms, and causal inference models; utilizing data storytelling to communicate complex analytical findings and recommendations to senior leadership; building consumption prediction models and customer behavior analytics to drive pricing strategy; designing and developing industry-standard dashboards using Tableau; creating compelling data visualizations; building automated reporting systems for pricing KPIs and business impact metrics; leading complex pricing analytics and data science projects; collaborating with pricing strategy, product, finance, and sales teams; providing guidance on data warehousing, ETL processes, and data orchestration; building and maintaining strong relationships with cross-functional teams; and presenting statistical findings and model results to executive leadership. Required qualifications include expert-level proficiency in SQL and Tableau, strong statistical analysis and modeling skills, experience with predictive modeling and machine learning, advanced business analysis and project management skills, experience with pricing and packaging in SaaS, data engineering concepts, stakeholder collaboration, and problem-solving skills. Preferred qualifications include advanced proficiency in Python or R, experience with consumption-based pricing models, and an advanced degree in a related quantitative field.