Bizee is hiring a Head of Data & Analytics

Bizee is hiring a Head of Data & Analytics to own the data strategy, architecture, and intelligence capabilities for the company. This is a hands-on, player-coach leadership role designing data structures that power customer intelligence, marketing analytics, jurisdictional compliance, and financial reporting across the platform.

What You'll Do

• Design and own the data strategy, architecture, and intelligence capabilities for the company.
• Design data structures that power customer intelligence, marketing analytics, jurisdictional compliance, and financial reporting.
• Be a hands-on leader who personally designs data models, reviews pipeline architecture, and writes queries to validate business logic.
• Lead a team of approximately 3-4 Technical Leads, Principal Data Scientists, Analysts, and Engineers, providing overall leadership to 15-20 team members.
• Partner directly with Platform Engineering, Product, and Marketing leadership to ensure the data foundation enables their roadmaps.
• Own data architecture decisions critical for subscription transformation, lifecycle marketing, customer intelligence, and AI-powered product experiences.
• Design data systems with AI consumption as a first-class requirement.
• Own the Customer Intelligence domain: unified customer data model for acquisition, formation, subscription lifecycle, renewals, and churn.
• Own the Jurisdictional & Compliance Data domain: 50-state regulatory requirements, filing rules, fee structures, and compliance timelines.
• Own the Marketing Analytics & Attribution domain: marketing mix modeling, full-funnel experimentation, channel attribution, CAC/LTV analysis, and spend optimization.
• Own the Financial & Operational Data domain: revenue analytics, subscription metrics, NetSuite data integration, and financial reporting foundations.
• Own Master Data Management: define canonical data models and governance standards.
• Deliver a comprehensive data strategy and roadmap aligned to business priorities.
• Design and begin implementing canonical data models for Customer, Product, Jurisdiction, and Transaction domains.
• Ensure reliable, governed data flow across CMS (Statamic), NetSuite, payment processors (Adyen), state filing systems, and customer-facing applications.
• Stand up marketing mix modeling, attribution, and experimentation infrastructure.
• Build the unified customer view that enables lifecycle segmentation, churn prediction, and personalized engagement.
• Enable self-service analytics for Marketing, Product, and Operations teams to reduce ad-hoc data request volume by 60%+.
• Design data pipelines and storage patterns that serve AI/ML workloads as a first-class use case.
• Assess current team capabilities, define the target org structure, and hire or develop to fill gaps.

What We're Looking For

• Strategic vision with execution discipline: can articulate a 2-year data strategy and break it into quarterly milestones.
• AI-native thinking: designs data systems with AI consumption as a first-class requirement and uses AI tools to accelerate work.
• Experience building marketing analytics, customer intelligence, or business intelligence capabilities from scratch.
• Experience as a data architecture builder: personally designed database structures and data models that power business intelligence at scale.
• Deep business domain expertise in complex domains (multi-entity, multi-jurisdiction, subscription lifecycle, or financial services).
• Cross-functional partnership skills with Platform Engineering, Product, and Marketing leadership.
• Player-coach leadership: leads a team of senior technical leads while staying hands-on in the work.

Nice to Have

• Experience designing a data architecture that enabled a business to make fundamentally better decisions.
• Experience building marketing analytics or attribution infrastructure that directly influenced company spend allocation.
• Experience designing data models for complex, multi-jurisdictional or multi-entity businesses.
• Experience with ERP data integration (NetSuite, SAP, or similar).
• Experience building data platforms that serve both human analysts and AI/ML systems as first-class consumers.
• Experience in the Prosumer or SMB space, e-commerce, legal tech, fintech, or compliance-heavy industries.
• Demonstrated use of AI tools to accelerate data engineering, analysis, or modeling work.

Team & Environment

You will lead a team of approximately 3-4 Technical Leads, Principal Data Scientists, Analysts, and Engineers, providing overall leadership to 15-20 team members. This is a player-coach leadership role reporting to the CTO.

Bizee is an Equal Opportunity Employer; employment with Bizee is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.