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Avalara

Cloud-based tax compliance and automation platform

Director of Analytics - GTM Operations

Data Science +1Confirmed live in the last 24 hours
Full-timeRemote in USARemote

About the Job

Requirements

  • Have 10–15+ years of experience in Sales Analytics, Data Science, or Business Intelligence in a high-growth SaaS environment.
  • Have proven experience applying artificial intelligence and machine learning techniques to business problems, particularly in forecasting, customer analytics, or go-to-market optimization.
  • Demonstrate strong proficiency with analytics and data tools, including SQL, Python or R, and business intelligence tools such as Tableau, Looker, or Power BI.
  • Have experience with machine learning frameworks and artificial intelligence-enabled platforms, including forecasting libraries, predictive modeling tools, and generative artificial intelligence applications.
  • Be familiar with modern data stack architectures, including data warehouses, extract, transform, and load pipelines, and feature stores.
  • Have a strong understanding of SaaS metrics, including annual recurring revenue, net revenue retention, customer acquisition cost, lifetime value, and pipeline coverage.
  • Have experience building and scaling analytics teams and embedding artificial intelligence into business processes.
  • Be able to translate complex data and artificial intelligence outputs into clear, actionable insights for executive audiences.
  • Have experience using artificial intelligence and related technologies, and be prepared to apply artificial intelligence to business challenges and keep current with trends and best practices.

Responsibilities

  • Partner with the chief revenue officer, Finance, and broader go-to-market leadership to drive sales efficiency, pipeline growth, and forecasting accuracy.
  • Lead a global analytics function that defines how the business measures performance, forecasts outcomes, and applies artificial intelligence to growth opportunities.
  • Embed advanced analytics and artificial intelligence into core go-to-market processes to enable more efficient and scalable revenue execution.
  • Own forecasting analytics by developing models to predict bookings, renewals, churn, and expansion across segments and geographies.
  • Improve forecasting precision through automation, model retraining, and incorporation of external and behavioral data signals.
  • Lead end-to-end funnel analytics from pipeline creation through closed-won deals and retention, using predictive modeling to identify conversion drivers and leakage risks.
  • Develop scalable frameworks to measure pipeline health, velocity, and quality, enriched with artificial intelligence-driven scoring such as deal likelihood, pipeline risk, and next-best-action signals.
  • Analyze sales cycle dynamics, deal progression patterns, and win/loss drivers using advanced analytics and pattern-recognition techniques.
  • Partner with Sales, Marketing, and Customer Success to translate insights into go-to-market plays, prioritization models, and workflow automation.
  • Establish standardized definitions and governance for funnel metrics while enabling intelligent, real-time delivery of insights.
  • Define and evolve the global key performance indicator framework for sales performance, integrating predictive and prescriptive metrics alongside traditional reporting.
  • Build and maintain executive-ready dashboards and artificial intelligence-augmented analytics environments that provide visibility into funnel conversion and velocity, pipeline and bookings health, and sales productivity and efficiency.
  • Enable self-service analytics and data democratization by equipping go-to-market teams with intuitive, insight-rich tools.
  • Analyze quota attainment and productivity trends and recommend resource optimization and coverage adjustments.
  • Apply artificial intelligence to business challenges to improve efficiency, contribute solutions, and drive results; stay current with trends and best practices and share learnings.

About the Company

Avalara

Cloud-based tax compliance and automation platform

Avalara provides cloud-based tax compliance services for businesses of all sizes. Its main product, AvaTax, automatically calculates sales tax at the point of purchase and can be connected to many business apps to make tax determinations as orders move through a company’s systems. Beyond calculation, Avalara offers returns filing and ongoing compliance management, helping customers stay up to date with changing tax laws. The company earns money through subscriptions tied to how many transactions you process and how complex your tax needs are, and it also offers consulting and training services to support customers. Compared with others, Avalara covers many industries (like e-commerce, retail, manufacturing, and software) and integrates with a wide range of platforms, aiming to provide an end-to-end, automated tax workflow. Its goal is to reduce the risk of penalties and streamline tax compliance so businesses can focus on their core operations.

Company size
5,001-10,000
Company stage
IPO
Headquarters
Durham, NC
Founded
2004

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