Head of Data & Analytics
Listed on 2026-02-12
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IT/Tech
Data Analyst, Data Science Manager, Data Engineer, Data Scientist
About Bizee
Bizee (formerly Incfile) has helped over 1 million entrepreneurs start and run their businesses. We’re transforming from a transaction-focused formation business to an AI-powered operating system for entrepreneurs.
We champion the everyday entrepreneur. We believe in self-determination, grit, and earned success. No fluff, no jargon, no pretense. We work hard, ship fast, and let our products speak for themselves.
We’re looking for a data leader who builds. Someone who can design the data architecture that powers intelligent products, stand up the analytics that drive business decisions, and lead a team that turns raw data into competitive advantage. If you believe data is the foundation of AI, not an afterthought, this role is for you.
What Makes Working Here Different- Data Is the Foundation of Everything: AI-powered products are only as good as the data underneath them. You’re not building dashboards for a data warehouse; you’re designing the intelligence layer that powers an AI operating system for entrepreneurs.
- Greenfield Data Strategy: We’re standing up master data management, customer intelligence, marketing analytics, and 50-state jurisdictional data models. You define the strategy and build the foundation.
- Business-Critical Domains: Customer data, jurisdictional compliance data, marketing attribution, and financial data. These aren’t academic exercises. Getting the data model right directly impacts revenue, compliance, and company valuation.
- AI-Native From Day One: Every data system you build should be designed with AI consumption in mind. You’re not just making data queryable; you’re making it intelligent.
As Head of Data & Analytics, you own the data strategy, architecture, and intelligence capabilities for Bizee. You will design the data structures that power customer intelligence, marketing analytics, jurisdictional compliance, and financial reporting across the platform.
This is not a governance or oversight role. You are a hands-on data leader who personally designs data models, reviews pipeline architecture, and writes queries to validate business logic. You lead a team of approximately 3-4 Technical Leads, Principal Data Scientists, Analysts, and Engineers providing overall leadership to 15-20 team members. You will be spending meaningful time in the work yourself.
We call this a player-coach: you set the vision and strategy, then roll up your sleeves and build alongside your team.
You will partner directly with Platform Engineering, Product, and Marketing leadership to ensure the data foundation enables their roadmaps. You own the data architecture decisions that determine whether the company can execute on subscription transformation, lifecycle marketing, customer intelligence, and AI-powered product experiences. This means you need deep business domain expertise. You understand how data models map to business outcomes, not just technical schemas.
This is an AI-native leadership role. You design data systems with AI consumption as a first-class requirement. You use AI tools to accelerate your own work and your team’s work. You have a point of view on how modern data architecture should evolve to support AI-powered products and decision-making.
Reports to CTO.
Data Domains You’ll Own- Customer Intelligence: Unified customer data model spanning acquisition, formation, subscription lifecycle, renewals, and churn. The foundation for personalization, segmentation, and AI-driven lifecycle management.
- Jurisdictional & Compliance Data: 50-state regulatory requirements, filing rules, fee structures, and compliance timelines. This is a uniquely complex domain that directly impacts product accuracy and customer trust.
- Marketing Analytics & Attribution: Marketing mix modeling, full-funnel experimentation, channel attribution, CAC/LTV analysis, and spend optimization. Partnering directly with Marketing leadership to connect data to growth decisions.
- Financial & Operational Data: Revenue analytics, subscription metrics, Net Suite data integration, and financial reporting foundations that support investor-grade visibility.
- Master Data Management: Defining the canonical data models and…
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