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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Head of Business Data - **Company:** ZIP, INC. - **Location:** United States - **Experience:** Expert - **Salary:** $250,000.0 - $300,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Business Intelligence Development, Software as a Service, Customer Data Management, Data Infrastructure, Data Warehousing, Dimensional Modeling, Netsuite, Salesforce.Com, Tableau (Software), Large Language Models, Data Strategy, Stripe, Core Data, Marketo, Data Analytics, Looker Analytics - **Published:** August 4, 2026 - **Apply:** https://www.dice.com/job-detail/39738fe9-eb06-417d-b790-921902ae7d33 ## About the Role Experience & Leadership * 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. You have 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. Technical Expertise * 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. ## Description * Set the Zip Data Strategy: Act as the primary visionary for how we leverage internal business data. You will 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. You will 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. You will structure and expose usage and business data so we can programmatically build automated, intelligent outputs - such as dynamically generated, data-backed presentation decks for our 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. ## Related Videos - [Navigating Growth, Scaling Challenges, and Office Expansions with David Singleton, CTO at Stripe](https://www.wearedevelopers.com/videos/100362-navigating-growth-scaling-challenges-and-office-expansions-with-david-singleton-cto-at-stripe) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Build Your Own Subscription-based Course Platform](https://www.wearedevelopers.com/videos/321-build-your-own-subscription-based-course-platform) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Teini - an extremely small webshop leveraging awesome and free tech](https://www.wearedevelopers.com/videos/286-teini-an-extremely-small-webshop-leveraging-awesome-and-free-tech) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)