Head of Revenue Insights & AI-Driven Growth

Avalara, Inc.

United States, Northern America, Americas

Hybrid

USD 180,000 - 240,000

Full time

14 days+

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Benefits offered by this job

Bonuses
Private medical, life, and disability
Paid time off
Paid parental leave

Job summary

Avalara, Inc. is seeking a Sr. Director of Value Creation Insights to lead an analytics and insights function driving revenue growth and GTM efficiency. You will manage ~30 analysts and engineers, partnering with Sales, Marketing, Finance, and Revenue Operations to translate data into strategic actions.

The role blends analytics, operations, and strategy, overseeing forecasting, scoring, data infrastructure, AI-enabled analytics, and cross-functional collaboration at scale.

Qualifications

  • 10+ years in analytics, data science, or data engineering with 4+ years in management.
  • Deep expertise in Snowflake, SQL, dbt, and modern data stack tooling.
  • Hands-on with AI/LLM tools and building AI agents or automated workflows.
  • Experience leading distributed teams onshore and offshore across time zones.
  • SaaS business metrics, ARR, MRR, GTM funnel analytics exposure.

Responsibilities

  • Lead analytics and insights translating data into decisions that drive revenue growth.
  • Oversee forecasting analytics, scoring, and governance across GTM functions.
  • Partner with Sales, Marketing, Finance, and Revenue Ops; communicate to executives.
  • Build and manage a globally distributed team of ~30 and ensure high quality standards.
  • Set data definitions, KPIs, and telemetry aligning with company strategy.

Skills

Leadership
Snowflake
dbt
AI/LLM
Cross-functional leadership

Tools

Fivetran
Snowflake
Power BI
Hex

Job description

Avalara, Inc. is seeking a Sr. Director of Value Creation Insights to lead an analytics and insights function driving revenue growth and GTM efficiency. You will manage ~30 analysts and engineers, partnering with Sales, Marketing, Finance, and Revenue Operations to translate data into strategic actions.

The role blends analytics, operations, and strategy, overseeing forecasting, scoring, data infrastructure, AI-enabled analytics, and cross-functional collaboration at scale.

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