Senior Manager, Pricing Analytics & Strategy

About the Role

We are looking for a Sr. Manager, Pricing Analytics & Strategy to join the Corporate Strategy team to help drive measurement and optimization of our top monetization initiatives. In this role, you will work with cross-functional partners including Pricing & Packaging, Product Operations, Deal Desk, GTM Strategy, and field teams to define key performance metrics, build scalable reporting infrastructure, and deliver strategic insights that increase transparency, accelerate decision-making, and drive measurable business impact. This is a hybrid strategic analytics role: you'll combine deep quantitative analysis with operational enablement, translating complex pricing data into actionable insights while building the measurement frameworks that power our monetization strategy.

Responsibilities

• Measure the impact of pricing initiatives and lead strategic analysis to support and progress key pricing and monetization decisions
• Explore and champion the use of AI tools to accelerate analytics workflows, automate reporting, and scale insight delivery across the team
• Conduct evidence-based evaluations to determine key drivers of monetization growth and identify optimization opportunities
• Define key performance metrics and build scalable reports, dashboards, and automated resources to monitor the health of pricing initiatives
• Build and deliver frameworks to measure Corporate Strategy priorities and initiatives
• Enable key strategic initiatives through data-driven guidance, training materials, and operational tools for Deal Desk, renewals teams, OUs, and field sellers
• Work across the broader product portfolio and Strategy teams to collaborate, learn, and scale best practices

Requirements

• 8+ years at a high-growth tech company in pricing analytics, strategic sales/business operations, or at a top management consulting firm with strong exposure to Go-To-Market/Product Strategy/Pricing assignments
• Degree in Business, Finance, Economics, Statistics, Data Science, or another quantitative field
• Advanced data exploration and analysis skills: comfortable applying statistical techniques to answer complex business questions
• Highly proficient in Tableau, Excel / Google Sheets for building executive-facing dashboards and reports
• Proficient SQL skills: able to write complex queries to extract, manipulate, and analyze data from large-scale data platforms
• Experience leveraging AI tools to accelerate analytics workflows, automate reporting, or enhance insight generation
• Excellent communicator in written and verbal form, able to translate complex information into easily consumable insights for executive audiences
• No ego. Extremely collaborative. Bias towards action
• Comfortable operating in a fast-paced environment with a sense of urgency and ability to adjust on the fly to unplanned situations

Preferred Qualifications

• Programming for analytics: Experience with Python or R for data science workflows is a strong plus
• Advanced degree MS/PhD in quantitative field is a strong plus