Director of Data
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AI Summary
The Role
We’re hiring a Director of Data to lead Outschool’s Data team, responsible for both developing infrastructure, pipelines, and tools to power Outschool’s data needs, as well as providing analytics and insights to steer the company toward high-quality, data-informed decisions. This is a critical leadership role that combines data strategy, people leadership, and strong hands-on technical contribution. The ideal candidate will shape Outschool’s data foundations, improve self-serve analytics tools and resources, and build applied AI / ML capabilities while working across the business to find new ways to create impact with data.
Core Responsibilities:
Lead, mentor, and grow a small but mighty data team while remaining hands-on with data architecture, modeling, technical direction, and analytics.
Contribute directly as an individual contributor, particularly in data engineering, data infrastructure, and analytics engineering, helping establish high standards for data quality, reliability, and usability.
Lead data strategy and execution across Outschool’s core data systems, including Redshift, dbt, and Opensearch, and self-serve tools such as Omni, Amplitude, and Statsig.
Partner cross-functionally with Product, Engineering, Marketing, Operations, Finance, and other teams to deliver trusted, decision-ready data resources and analytics.
Collaborate with senior leadership to align on strategy, priorities, metrics, experimentation practices, and long-term roadmap planning.
Foster a culture of data quality, ownership, documentation, self-service, experimentation, and continuous improvement through mentorship and feedback.
Lead adoption of self-serve data practices across the organization, ensuring teams can access and use data effectively without requiring significant centralized support.
Help define and implement modern data practices that improve speed, trust, discoverability, and leverage across analytics, experimentation, and applied AI / ML.
Desired Experience & Skills:
10+ years of experience in data engineering, analytics engineering, analytics, data science, ML, software engineering, or related technical roles.
5+ years of management experience leading data, analytics, engineering, or ML teams, with demonstrated proficiency in performance management, career development, and people logistics.
Strong experience with modern data infrastructure and analytics engineering, including SQL, dbt, data modeling, pipeline reliability, and warehouse architecture, as well as building self-serve analytics systems and practices using tools such as Omni, Looker, Amplitude, Statsig, Mode, Hex, or similar platforms.
Experience with deep analytics / data science, including influencing stakeholders with data-informed decisions and strategies.
Experience balancing data leadership responsibilities with hands-on technical contribution, especially in data engineering, data infrastructure, or analytics engineering.
Proven ability to lead multiple complex data initiatives from planning through execution and adoption.
Deep experience leveraging experimentation, A/B testing, analytics, and metrics to inform decisions.
Ability to align data strategy and execution with broader business, product, and engineering priorities.
Ability to guide ML Engineering work in areas such as search, recommendations, personalization, or applied automation, even if not personally the deepest ML practitioner.
Excellent communication and stakeholder management skills across technical, non-technical, and executive audiences.
Other Considerations:
Experience in EdTech or building products for learners, educators, or families
Familiarity with search, discovery, recommendations, or marketplace systems
Experience with Redshift, dbt, Opensearch, Omni, Amplitude, or Statsig
Experience at a fast-paced startup or high-growth company
Compensation:
Outschool recruits across the US and Canada, and sets employee salaries to reflect local compensation and cost of living. In addition to base compensation, this role is eligible for equity and benefits. Additional details are provided during the interview process.
For Canadian-based candidates, compensation range for this role is $220,000 - $275,000 CAD annually.
This role is available in the following US Pay Zones:
US Tiers
US Tier 1: San Francisco Bay Area and New York City
US Tier 2: All California excluding San Francisco Bay Area, Seattle Metro, Boston Metro, Chicago Metro, Denver Metro, Austin Metro, Portland Metro
US Tier 3: All other cities and states
US Pay Zones
US Tier 1: $260,000 - $357,500
US Tier 2: $221,000 - $303,875
US Tier 3: $195,000 - $268,125
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