Head of Business Data

Zip

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
San Francisco, CANew York, NY
Salary
$250,000–$300,000 / yr
Employment
Full-time
Posted
99 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $182k
This role $275k
$121k $319k
below market most similar roles pay here above market

This role pays more than 90% of similar roles. Most pay $140,550–$224,223 — the blue band above. At the midpoint, this role pays about $275k versus about $182k for comparable roles.

Based on 240 similar postings.

Employer

About Zip

Zip Co is a global buy-now, pay-later company offering flexible installment payment solutions to consumers and merchants, enabling interest-free purchases across retail, travel, and healthcare. Industry: Financial Technology & Consumer Lending

Zip currently has 7 open roles on FindRole.

Listed pay typically runs $185,000–$260,000 across 7 roles with salary data.

Most-posted roles

View all roles at Zip

At a glance

TL;DR · Head of Business Data

The Head of Business Data will lead the Business Intelligence and GTM Data Science functions to define the enterprise data layer. This role acts as a bridge between Go-To-Market engines, finance, and Product Data Engineering to establish a single source of truth. Key responsibilities include setting the overarching data strategy, building a comprehensive dashboarding ecosystem, and architecting data foundations for AI initiatives. The successful candidate will manage a team of analytics engineers and BI developers to track SaaS metrics like ARR and CAC. Required expertise includes the Modern Data Stack, specifically dbt, Looker, Tableau, and Sigma. The role requires deep knowledge of Salesforce, Marketo, NetSuite, and Stripe to solve complex problems regarding B2B SaaS billing, unit economics, and automated financial reporting.

What you'll do

  • Define the overarching data strategy to support hyper-growth, new product lines, and global scale.
  • Own the end-to-end dashboarding and reporting ecosystem for executive, GTM, and operational teams.
  • Architect the data strategy and structure required to unlock and power AI capabilities.
  • Define and standardize critical SaaS metrics via a robust semantic layer to create a single source of truth.
  • Partner with Product Data Engineering to ensure the business data layer is integrated and reliable.
  • Hire, mentor, and lead a high-performing organization of analytics engineers, BI developers, and data analysts.
  • Deliver automated financial and operational reporting for the executive team, Board of Directors, and external stakeholders.

What we're looking for

  • 10+ years of progressive experience in data analytics, business intelligence, or analytics engineering.
  • 5+ years in a senior leadership role managing managers.
  • Deep understanding of B2B SaaS business models, unit economics, and standard metrics.
  • Proven ability to partner with technical engineering teams while delivering commercial value to GTM and Finance leaders.
  • 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 the analytics and BI layers like dbt, Looker, Tableau, or Sigma.
  • Strong foundations in data modeling, dimensional modeling, and establishing a governed semantic layer.
  • Strategic understanding of structuring and modeling data to power Large Language Models and embedded AI features.
  • Experience preparing a company's data infrastructure for public market readiness or leading data diligence during late-stage fundraises (preferred).

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