Head of Business Data

Zip is the AI platform for enterprise procurement — built for humans and agents working together. By orchestrating procurement across teams, tools, and suppliers with the help of AI agents, companies can secure the resources they need to innovate faster than ever before.

The world’s most influential enterprises trust Zip, including T-Mobile, OpenAI, AMD, Mars, Dollar Tree, and more. Together they’ve saved over $8 billion and processed over $500 billion in spend. Zip’s team includes product leaders from Apple, Airbnb, and Meta, as well as former procurement leaders from United Health, Sanofi, MGM Resorts, Discover, and NASA.

Backed by Adams Street, Alkeon, BOND, CRV, DST, Tiger Global, and Y Combinator, Zip has raised $371 million, most recently at a $2.2 billion valuation and has been recognized by Forbes Fintech 50, Fast Company's Most Innovative Companies, Inc. Best in Business, and LinkedIn Top Startups.

We are a rapidly scaling, late-stage SaaS company experiencing hyper-growth. As we enter our next phase of maturity, data is at the center of our strategy - powering everything from executive decision-making to an AI-first GTM engagement model.

We are looking for a strategic, highly commercial, and visionary Head of Business Data to lead our Business Intelligence and GTM Data Science functions. In this role, you will define the business data layer, acting as the bridge between our Go-To-Market (GTM) engines, finance, and our core Product Data Engineering team. You will ensure we have a flawless "single source of truth" across the enterprise, build out our comprehensive dashboarding ecosystem, and lay the strategic data foundation necessary to power our upcoming AI initiatives.

• →

• Deep expertise in the Modern Data Stack, specifically focused on the analytics and BI layers (e.g., dbt, Looker, Tableau, Sigma).

• Strong foundations in data modeling, dimensional modeling, and establishing a governed semantic layer.

• Strategic understanding of how to structure, model, and serve data to power Large Language Models (LLMs) and embedded AI features.

• Deep understanding of the intersection between GTM systems (Salesforce, Marketo, CS platforms) and back-office financial systems (NetSuite, Stripe, etc.).

• Experience preparing a company's data infrastructure for public market readiness (IPO) or leading data diligence during late-stage fundraises.