Head of Analytics Engineering

Summary

Join ClassDojo as their Head of Analytics Engineering and lead the scaling of their data foundation. Set the vision for analytics engineering, architect scalable solutions, and build a high-performing team. Partner with cross-functional and executive stakeholders to make data accessible, trusted, and actionable, driving strategic impact. Ensure data becomes a core enabler of decision-making. Lead cross-functional initiatives transforming data use, serve as a thought partner to executives, and align data strategy with product and engineering vision. Oversee the design of data ecosystems, championing modular architectures, and hold the bar on modeling and architecture standards. Build and grow high-performing teams, cultivate an inclusive culture, and set clear goals and performance expectations. Be a hands-on technical leader with expertise in SQL, data modeling, Airflow, dbt, and data orchestration, establishing best practices and leading evaluations of modern tools. Mentor engineers and analysts, build learning systems, and model proactive collaboration with cross-functional teams.

Requirements

• 7+ years experience with data / analytics engineering with at least 3 years of managing Analytics Engineering teams
• Strategic Influence and Organizational Partnership
• Systems Thinking & Data Architecture Leadership
• People Leadership, Team Building & Performance
• Technical Excellence & Thought Leadership
• Mentorship, Enablement & Cross-functional Culture

Responsibilities

• Lead and scale our data foundation
• Set the vision for analytics engineering
• Architect scalable solutions
• Build a high-performing team
• Partner closely with cross-functional and executive stakeholders to make data accessible, trusted, and actionable - driving strategic impact across product, engineering, and operations
• Ensure that data becomes a core enabler of decision-making throughout the company
• Lead cross-functional, high-impact initiatives that transform how the organization uses data to drive decision-making and product outcomes
• Serve as a thought partner to executives, product leaders, and senior engineering counterparts, shaping long-term strategy and technical direction through deep data acumen and architectural foresight
• Proactively align data strategy with product and engineering vision—operating at the planning and prioritization stage—to steer teams toward scalable, principled solutions
• Be known as a force multiplier, not only through technical contributions, but by building the right team structure, fostering healthy cross-functional collaboration, and driving a culture of strategic clarity and quality
• Oversee the design of data ecosystems that handle business complexity at scale, championing modular, forward-compatible architectures (e.g. semantic layers, universal metrics frameworks, streaming integrations)
• Hold the bar on modeling and architecture standards, ensure technical consistency across teams, and personally review the most complex, high-impact design decisions
• Define and govern ownership of data domains across your team, ensuring schemas reflect strategic business and product abstractions across fact, agg, and cube layers
• Build and grow high-performing teams through thoughtful hiring, onboarding, and career development practices
• Cultivate a psychologically safe, inclusive culture that fosters innovation, experimentation, and accountability
• Your team operates with autonomy, speed, and a shared sense of excellence
• Set clear goals and performance expectations—managing capacity, leveling workloads, and advocating for resourcing to match ambition
• Guide the team through organizational change and technical evolution, ensuring consistent execution even in moments of ambiguity
• Be a hands-on technical leader who brings deep expertise in SQL, data modeling, Airflow, dbt, and data orchestration—and coach others toward the same standards
• Establish and operationalize best practices across modeling, testing, version control, observability, and performance tuning—often via frameworks or internal tooling that scale team effectiveness
• Lead evaluations and rollouts of modern tools, frameworks, or architectural shifts (e.g., dbt metrics layer, column-level lineage, warehouse-native apps) that unlock new business capabilities or reduce complexity
• Be a mentor to engineers, analysts, and cross-functional partners alike
• Build learning systems—docs, design reviews, internal courses, and more—to scale technical excellence across your org
• Model proactive collaboration with Engineering, Product, Legal, and GTM teams, helping demystify the data landscape and ensuring that insights and infrastructure deliver strategic value, not just reporting
• Lead with context and transparency, ensuring stakeholders are aligned on data definitions, source-of-truth systems, and the tradeoffs behind key design decisions

Preferred Qualifications

• You are a continuous learner
• Staying current in the latest trends and technologies in AI, data analytics, and educational technology is no easy feat
• You've transformed a tactical data stack into a strategic platform used across an organization
• You balance vision and execution—knowing when to lead with a north star and when to deliver the next best milestone
• You have a bias for action, but you never compromise data trust, systems quality, or your people