Head of Business Data

Zip•San Francisco, CA

3d•$250,000 - $300,000•Hybrid

About The Position

Zip is seeking a strategic, highly commercial, and visionary Head of Business Data to lead its Business Intelligence and GTM Data Science functions. This role is crucial as Zip enters a new phase of maturity, with data at the core of its strategy, powering executive decision-making and an AI-first Go-To-Market engagement model. The Head of Business Data will define the business data layer, acting as a liaison between Go-To-Market engines, finance, and the core Product Data Engineering team. Key responsibilities include establishing a "single source of truth" across the enterprise, developing a comprehensive dashboarding ecosystem, and building the strategic data foundation for upcoming AI initiatives.

Requirements

10+ years of progressive experience in data analytics, business intelligence, or analytics engineering, with at least 5+ years in a senior leadership role managing managers.
Proven SaaS DNA: Deep understanding of B2B SaaS business models, unit economics, and standard metrics. Successfully navigated the complexities of enterprise SaaS billing, CRM data (Salesforce), and financial data.
Cross-Functional Influence: Proven ability to partner effectively with highly technical engineering teams while delivering clear, commercial value to GTM and Finance leaders.
Executive Presence: Exceptional ability to translate complex data concepts into clear business narratives for C-level executives and investors.
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.).

Nice To Haves

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

Responsibilities

Set the Zip Data Strategy: Act as the primary visionary for how we leverage internal business data. Define the overarching data strategy for Zip, mapping out how our internal data ecosystem needs to evolve to support hyper-growth, new product lines, and global scale.
Lead Business Intelligence & GTM Analytics: Own the end-to-end dashboarding and reporting ecosystem. Build and maintain the core Executive Dashboard, targeted dashboards for GTM leadership, and operational views for customer-facing teams.
Pioneer AI Data Foundations: Architect the data strategy required to unlock AI capabilities. Structure and expose usage and business data to programmatically build automated, intelligent outputs, such as dynamically generated, data-backed presentation decks for clients.
Own the Business "Single Source of Truth": Partner closely with Finance, Revenue Operations, and Product to define, standardize, and track critical SaaS metrics (e.g., ARR, NDR, Gross Retention, CAC, LTV, Magic Number) via a robust semantic layer.
Partner with Core Data Engineering: Collaborate deeply with the Product Data Engineering team (who owns core product tables and overarching infrastructure) to ensure the business data layer is seamlessly integrated, performant, and reliable.
Build & Scale the Team: Hire, mentor, and lead a high-performing organization of analytics engineers, BI developers, and data analysts.
Drive Executive & Board Reporting: Deliver pristine, automated financial and operational reporting utilized by the executive team, Board of Directors, and external stakeholders.