Head of Data, Analytics

Posted 69ds ago

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Job Description

Head of Data & Analytics at Bizee designing data architecture and intelligence capabilities. Leading a team and partnering with cross-functional departments to drive AI-powered products.

Responsibilities:

  • Own the data strategy, architecture, and intelligence capabilities for Bizee.
  • Design the data structures that power customer intelligence, marketing analytics, jurisdictional compliance, and financial reporting.
  • Lead a team of approximately 3-4 Technical Leads, Principal Data Scientists, Analysts, and Engineers.
  • Partner directly with Platform Engineering, Product, and Marketing leadership.
  • Ensure the data foundation enables subscription transformation, lifecycle marketing, and AI-powered product experiences.
  • Use AI tools to accelerate work and team processes.
  • Design data systems with AI consumption as a requirement.

Requirements:

  • 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.

Benefits:

  • Health Care Plan (Medical, Dental & Vision)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Virtual Wellness Resources
  • Work From Home