VP, Head of Analytics, Data Science & Pricing

About Upwork

Upwork Inc.’s (Nasdaq: UPWK) family of companies connects businesses with global, AI-enabled talent across every contingent work type including freelance, fractional, and payrolled. This portfolio includes the Upwork Marketplace, which connects businesses with on-demand access to highly skilled talent across the globe, and Lifted, which provides a purpose-built solution for enterprise organizations to source, contract, manage, and pay talent across the full spectrum of contingent work. From Fortune 100 enterprises to entrepreneurs, businesses rely on Upwork Inc. to find and hire expert talent, leverage AI-powered work solutions, and drive business transformation. With access to professionals spanning more than 10,000 skills across AI & machine learning, software development, sales & marketing, customer support, finance & accounting, and more, the Upwork family of companies enables businesses of all sizes to scale, innovate, and transform their workforces for the age of AI and beyond. Since its founding, Upwork Inc. has facilitated more than $30 billion in total transactions and services as it fulfills its purpose to create opportunity in every era of work.

About the Role

As the VP, Head of Analytics, Data Science & Pricing, you will define how Upwork uses data, insights, and economics to accelerate growth and shape the company’s strategy. Reporting to the CFO, you’ll lead Data Science, Corporate Analytics, Customer Insights, Research, and Pricing—partnering closely with Product, Engineering, Marketing, and AI.

This role sits at the center of one of the most fascinating questions today: the future of work. You’ll lead efforts to understand how AI is reshaping work, build data products that enable Human+AI collaboration, and deliver insights that inform both internal strategy and external thought leadership.

Responsibilities

• Define and execute an enterprise-wide analytics, insights, and pricing strategy aligned with Upwork’s mission, financial goals, and AI roadmap.
• Lead a central analytics organization that delivers applied insights across Product, Marketing, and AI.
• Elevate modeling and quantitative capabilities to drive predictive, causal, and economic insights.
• Strengthen and scale the existing pricing function through optimization, automation, and experimentation.
• Partner with Data Engineering and AI teams to modernize infrastructure, automate reporting, and democratize analytics.
• Oversee marketplace and customer analytics to understand trends in Human+AI collaboration and workforce transformation.
• Drive integration of new technologies and analytical methods to expand self-service capabilities and accelerate decision-making.
• Lead a team of economists to evolve marketplace models, pricing elasticity frameworks, and monetization strategies.
• Translate complex analytics into clear, actionable narratives for executives and external audiences.
• Foster a culture of curiosity, rigor, and insight-driven decision-making across the company.

What it takes to catch our eye

• Proven success leading large-scale analytics, insights, data science, or pricing functions in a technology or marketplace organization.
• Deep understanding of applied economics, pricing, and marketplace dynamics, with a record of turning insights into measurable business outcomes.
• Demonstrated ability to connect analytics, research, and AI to strategy, influencing decisions that drive growth and customer impact.
• Expertise in experimental design, econometrics, and research methodologies for pricing, product, and customer optimization.
• Experience building and leading diverse, high-performing teams across analytics, insights, and research disciplines.
• Exceptional communication and storytelling skills—able to turn complex data and insights into clear, strategic narratives for senior leaders.