Head of Data & Analytics at Bizee

Houston, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

09 May, 26

Salary

0.0

Posted On

08 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Strategy, Data Architecture, AI Consumption, Customer Intelligence, Marketing Analytics, Financial Data, Master Data Management, Cross-Functional Partnership, Player-Coach Leadership, Business Domain Expertise, Analytics, Data Models, Data Synchronization, Self-Service Analytics, Team Build-Out, AI-Native Thinking

Industry

Legal Services

Description

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. The Role 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, NetSuite data integration, and financial reporting foundations that support investor-grade visibility. Master Data Management: Defining the canonical data models and governance standards that ensure consistency across all systems. You can’t build automation on unreliable data, and you own making the data reliable. What You’ll Deliver Data Strategy & Roadmap: Deliver a comprehensive data strategy aligned to business priorities (subscription transformation, marketing efficiency, customer intelligence). A roadmap that Platform, Product, and Marketing leadership can plan against. Master Data Foundation: Design and begin implementing canonical data models for Customer, Product, Jurisdiction, and Transaction domains. Establish Master Data Records with clear definitions, reconciliation rules, quality standards, and governance that the entire organization trusts. Data Synchronization: Ensure reliable, governed data flow across CMS (Statamic), NetSuite, payment processors (Adyen), state filing systems, and customer-facing applications. Establish clear ownership, SLAs, and reconciliation processes for cross-system data integrity. Marketing Analytics Capability: Stand up marketing mix modeling, attribution, and experimentation infrastructure. Give Marketing leadership the data visibility they need to optimize spend and prove ROI. Customer Intelligence Platform: Build the unified customer view that enables lifecycle segmentation, churn prediction, and personalized engagement. This is the data backbone for our subscription transformation. Self-Service Analytics: Enable Marketing, Product, and Operations teams to answer their own data questions without engineering tickets. Reduce ad-hoc data request volume by 60%+. AI-Ready Data Layer: Design data pipelines and storage patterns that serve AI/ML workloads as a first-class use case. Make it easy for product teams to build intelligent features on top of clean, well-modeled data. Team Build-Out: Assess current team capabilities, define the target org structure, and hire or develop to fill gaps. Build a team that operates with clear domain ownership and cross-functional partnership. What We’re Looking For Strategic Vision with Execution Discipline: You can articulate a 2-year data strategy and break it into quarterly milestones. You create roadmaps that stakeholders can plan against and hold yourself accountable to delivery. AI-Native Thinking: You design data systems with AI consumption as a first-class requirement. You understand how data quality, structure, and accessibility impact AI/ML outcomes. You use AI tools to accelerate your own work. Analytics & Intelligence: You’ve built marketing analytics, customer intelligence, or business intelligence capabilities from scratch. You know how to stand up attribution models, experimentation frameworks, and self-service analytics platforms. Data Architecture Builder: You’ve personally designed database structures and data models that power business intelligence at scale. You understand dimensional modeling, event-driven data architectures, and how to design schemas that serve both operational and analytical workloads. You don’t just draw ERDs; you build them. Deep Business Domain Expertise: You understand how data models map to business outcomes. You’ve worked in domains where data complexity is high (multi-entity, multi-jurisdiction, subscription lifecycle, or financial services) and you can translate business requirements into data architecture decisions. Cross-Functional Partnership: You partner effectively with Platform Engineering, Product, and Marketing leadership. You understand their roadmaps and ensure the data foundation enables their goals. You present data strategy in business terms, not just technical terms. Player-Coach Leadership: You lead a team of senior technical leads while staying hands-on in the work. You review data models, validate pipeline logic, and write SQL when needed. You set the vision and build alongside your team. What Will Make You Stand Out You can walk us through a data architecture you designed that enabled a business to make fundamentally better decisions, including the tradeoffs you navigated and what you’d do differently. You’ve built marketing analytics or attribution infrastructure that directly influenced how a company allocated spend. You’ve designed data models for complex, multi-jurisdictional or multi-entity businesses. You have experience with ERP data integration (NetSuite, SAP, or similar) and understand how financial data flows through an organization. You’ve built 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. You can demonstrate how you’ve used AI tools to accelerate data engineering, analysis, or modeling work. This Role Is NOT For You If... You’re a pure people manager who has stepped away from hands-on data work. This role requires you to be in the data models, reviewing pipeline logic, and validating business assumptions. You think "data strategy" means selecting tools and vendors. We need someone who designs data architectures that solve business problems. You haven’t personally used AI tools and are skeptical about their value in data work. You prefer to build data platforms in isolation. This role requires deep, continuous partnership with business stakeholders. You want a mature data infrastructure to optimize. We’re building the foundation, and we need someone who’s energized by creating order from ambiguity. What We Don’t Care About Prestigious company names on your resume. Formal degrees (show us your results and your data models). Years of experience (show us your impact and the decisions your data enabled). Polished "corporate" personas (we want authentic, high-output builders). Interview Note: We will ask you to whiteboard a data architecture for one of our business domains. We will ask you to walk through a data platform you built and how it enabled business outcomes. We will ask you to present a data strategy as if you were presenting to our executive team. Come prepared with specific examples that show both your technical depth and your business acumen. Disclaimer: 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. The compensation offered to the successful applicant may vary based on factors including experience, skills, education, location, and other job-related reasons. This employer participates in E-verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. Available benefits include: Health Care Plan (Medical, Dental & Vision), Life Insurance (Basic, Voluntary & AD&D), Virtual Wellness Resources, Work From Home

Responsibilities

As Head of Data & Analytics, you will own the data strategy, architecture, and intelligence capabilities for Bizee, designing data structures that power various analytics and compliance functions. You will lead a team of 15-20 members while being hands-on in data model design and validation.