Head of Data, AI & Intelligence at Bizee

Houston, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Feb, 26

Salary

0.0

Posted On

18 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, AI Strategy, Predictive Systems, Automation, Insights, Experimentation, Business Decisioning, Leadership, Data Science, Analytics, BI, Technical Fluency, Cross-Functional Collaboration, Data Quality, Governance, Architecture, Strategic Thinking

Industry

Legal Services

Description

About Bizee Bizee (formerly Incfile) has helped more than one million entrepreneurs start and manage their businesses. Now we’re evolving from a formation service into an AI-powered Operating System for Entrepreneurs built to connect ambition to action through intelligent systems that simplify complexity, anticipate needs, and give founders the freedom to build faster. We move fast, stay close to the customer, and focus relentlessly on building what matters. We build with heart, hustle, grit, and humility, the same qualities that define the entrepreneurs we serve. The Opportunity This is one of the most strategically important roles in Bizee’s next chapter. As Head of Data, AI & Intelligence, you will define the intelligence backbone of the company, the systems, models, pipelines, insights, and decisioning layers that power Bizee’s evolution into an AI-driven Entrepreneur Operating System. You will transform fragmented data into a unified, event-driven, real-time intelligence platform that fuels automation, improves product efficacy, enhances growth performance, and unlocks new value through predictive systems. This is not a reporting or analytics role. It is a platform and enterprise value role. You will build the architecture and operating systems that connect the entire company: Product, Engineering, Growth, Marketing, Customer Operations, and Finance. This is a role for a builder, architect, and strategic thinker who sees around corners and designs systems that scale for years. What You’ll Lead Intelligence Architecture & Data Platform Ownership: Own the long-term vision and architecture for Bizee’s intelligence platform, data models, events, pipelines, services, and real-time systems. Build a unified, event-driven foundation that powers automation, AI workflows, segmentation, and product decisioning. Create the semantic layer, governance model, and data contracts that enforce clarity and reliability across teams. AI Strategy, Automation & Predictive Systems: Define and build the AI strategy that powers Bizee’s operating system, from generative interfaces to workflow automation to risk scoring and predictive actions. Partner with Product & Engineering to embed intelligence directly into customer journeys and operational workflows. Build the infrastructure that enables experimentation, model retraining, and scalable AI deployment. Insights, Experimentation & Business Decisioning: Lead the insights engine that informs product prioritization, growth strategy, and customer understanding. Build the systems that turn raw data into actionable insight, segmentation, LTV models, lifecycle behavior, funnel analytics, customer health. Create the experimentation framework for growth, product, and operations. Data Engineering, Data Science & BI Leadership: Lead and scale Data Engineering, Data Science, Analytics, and BI as a cohesive Intelligence organization. Establish standards for modeling, observability, data quality, and reliability. Ensure teams have clean, trusted, governed data that moves at the speed of the business. Executive Partnership & Cross-Functional Impact: Partner with CTO, Product, Growth, CMO, CFO, and Operations to connect intelligence strategy directly to business outcomes. Build dashboards, KPIs, and insight loops that drive clarity for executives and operators. Shape company strategy through data-driven storytelling and forward-looking analysis. What You’ll Bring: 10+ years across Data, AI/ML, or Intelligence leadership within SaaS, platform, or high-scale environments. Experience building unified data platforms, event-driven systems, and scalable insight layers. Deep technical fluency in data engineering, ML, distributed systems, and modern data stack patterns. Proven ability to ship AI or predictive products in partnership with Product & Engineering. Strong leadership presence able to align executives, influence partners, and drive cross-functional adoption. Clear, strategic thinking with a track record of simplifying complexity into action. A builder’s mindset and bias for momentum; thrives in ambiguity and creates clarity through structure. Success Looks Like Within months, Bizee’s data foundation is unified and reliable. Teams operate with clarity, dashboards are trusted, and data flows seamlessly into product, growth, operations, and finance. Within 12–18 months, Bizee has a real intelligence layer: an event-driven data platform, predictive systems powering automation, real-time insights embedded across workflows, and AI driving measurable improvements in customer outcomes, efficiency, LTV, and product stickiness. You’ve built a world-class intelligence organization, modernized our data foundation, and turned intelligence into one of Bizee’s strongest and most strategic differentiators. 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. #LI-REMOTE

Responsibilities

You will define the intelligence backbone of the company, transforming fragmented data into a unified, real-time intelligence platform. This role involves building architecture and operating systems that connect various departments within the company.