Head of Business Data

Zip
San Francisco, New York
Workplace: HybridFull timeUSD 250,000 - 300,000 annuallyFunction: Administration & Executive AssistanceExperience: 10+ yearsSkills: ["Leadership","Communication","Cross-functional collaboration","Executive storytelling","Ownership"]

Lead Zip’s Business Intelligence and GTM Data Science functions, defining the business data strategy that connects GTM engines, finance, and Product Data Engineering. Own executive and GTM dashboarding/reporting as part of a single source of truth for core SaaS metrics. Architect governed analytics foundations that enable AI initiatives and dynamic, data-backed outputs. Hire and scale analytics talent and deliver automated board-level reporting.

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FursaFursa
Zip
Zip
1 month ago

Head of Business Data

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Lead Zip’s Business Intelligence and GTM Data Science functions, defining the business data strategy that connects GTM engines, finance, and Product Data Engineering. Own executive and GTM dashboarding/reporting as part of a single source of truth for core SaaS metrics. Architect governed analytics foundations that enable AI initiatives and dynamic, data-backed outputs. Hire and scale analytics talent and deliver automated board-level reporting.
Location: San Francisco, New York
Workplace: Hybrid
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Sr. Director level

Key Responsibilities

  • •Define Zip’s business data strategy and roadmap to support hyper-growth, new product lines, and global scale.
  • •Own end-to-end dashboarding and reporting, including the Executive Dashboard and GTM leadership and operational views.
  • •Architect AI-ready data foundations by structuring and exposing usage and business data for automated, intelligent outputs.
  • •Establish and govern a business single source of truth by standardizing and tracking key SaaS metrics via a semantic layer.
  • •Collaborate with Product Data Engineering and hire/mentor analytics engineers, BI developers, and data analysts; deliver automated executive and board reporting.

Pay and Benefits

Salary: USD 250,000 - 300,000 annually
Equity and Bonus:Equity
Perks:Startup EquityHealth InsuranceVisionDentalCommuter BenefitsPaid LeaveHome Office401k Plan

Key Requirements

  • •10+ years of progressive experience in data analytics, business intelligence, or analytics engineering, including 5+ years leading managers.
  • •Proven SaaS background with deep understanding of B2B SaaS business models, unit economics, and core metrics; experience with enterprise SaaS billing, Salesforce, and financial data.
  • •Ability to partner cross-functionally with technical engineering teams while delivering commercial value to GTM and Finance leaders.
  • •Executive presence to translate complex data concepts into clear business narratives for C-level executives and investors.
  • •Deep expertise in the modern data stack across analytics/BI layers (dbt, Looker, Tableau, Sigma) and building governed semantic layers.
Experience:10+ yearsSaaSB2B SaaS
Skills:LeadershipCommunicationCross-functional collaborationExecutive storytellingOwnership
Tech Stack:DbtLookerTableauSigmaSalesforceMarketoNetSuiteStripeLLMsSemantic layerDimensional modeling

Company Brief

Zip
Provides buy-now-pay-later (BNPL) and digital payment solutions for consumers and merchants across multiple markets, enabling flexible payments, consumer credit, and merchant financing services.
Industry: Lending
Company Size: Enterprise (1,001+ employees)
Revenue: USD 250M to 500M
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Sydney, Australia
Founded: 2013
WebsiteLinkedIn