About this role
AI for Procurement is seeking a strategic Head of Business Data to lead business intelligence and GTM data science functions from San Francisco or on a remote basis. This leadership role suits a seasoned analytics professional with extensive B2B SaaS expertise looking to drive data strategy at a rapidly scaling enterprise.
Role Overview
As a Head of Business Data, you will define the enterprise business data layer and bridge go-to-market engines, finance, and product data engineering. You will establish a flawless single source of truth, build out dashboard ecosystems, and lay the strategic data foundation for upcoming AI initiatives.
Key Responsibilities
Requirements
Nice to Have
Skills and Tools
Salary and Benefits
About the Company
AI for Procurement builds an AI platform for enterprise procurement designed for humans and agents working together to orchestrate procurement across teams, tools, and suppliers. The enterprise platform is trusted by influential companies like OpenAI, T-Mobile, AMD, Mars, and Dollar Tree, having saved billions in spend and processed hundreds of billions in volume. Backed by prominent venture firms and recognized by Forbes, Fast Company, and LinkedIn, the organization relies on a culture of ownership, open communication, and high-paced innovation.
How to Apply
Candidates interested in this position should visit the official company careers page to submit an application.
Skills and tech stack
Questions candidates ask
What is the salary range for the Head of Business Data role?
The annual salary range is $250,000 to $300,000 USD, determined by factors such as location, relevant experience, education, and specific skills.
Is this position remote?
Yes, the role is listed as remote with a base location in San Francisco.
What level of experience is required?
Candidates must have 10+ years of progressive experience in data analytics, business intelligence, or analytics engineering, including at least 5+ years in a senior leadership role managing managers.
What technical skills and tools are needed?
The role requires deep expertise in the Modern Data Stack, specifically analytics and BI layers such as dbt, Looker, Tableau, or Sigma, alongside strong foundations in data modeling and semantic layers.
What benefits are offered?
Benefits include startup equity, full health, vision, and dental coverage, flexible PTO, catered meals for hybrid employees, commuter benefits, a 401(k) plan, Apple equipment, and a home office budget.