Head of Data & Analytics responsible for building a world-class data organization at Speak. Defining data vision and strategy to drive data-informed decisions in the company.
Responsibilities
Build and lead a high-performing team of analysts and data engineers that support teams across product, growth, marketing, curriculum, finance, leadership, and more.
Define and own the long-term data vision, strategy, and roadmap across infrastructure, analytics, and governance, with a specific focus on the use of AI and related tools to enable the team and scalability.
Standardize key metrics and definitions across the organization, driving consistency and alignment.
Develop and maintain robust, scalable data pipelines with >99% uptime and automated monitoring.
Build and promote self-serve data tools and dashboards that empower teams to access insights faster.
Increase experimentation velocity in partnership with Product and Growth, while improving rigor and accuracy of results.
Establish strong data governance, ensuring compliance with global privacy regulations (GDPR, CCPA, etc.).
Hire, coach, and mentor data talent, growing the team while maintaining high standards for quality, accuracy, and reliability.
Drive adoption of a data-first culture across the company through education, storytelling, and partnership.
Requirements
Proven experience building and leading high-performing data and analytics teams at a scaled tech company.
Deep understanding of modern data stacks and tools: e.g., BigQuery, Airflow, Mode, Amplitude, dbt, Looker, or similar.
Strong technical foundation in SQL, and proficiency in Python or similar languages for analytics and modeling.
Demonstrated success in using data to drive measurable improvements in product and growth KPIs.
Strong knowledge of data governance, privacy, and compliance frameworks.
Ability to translate complex data into clear insights and narratives for executive and cross-functional stakeholders.
Strategic mindset with a willingness to dive into hands-on problem solving when needed.
Excellent communication skills and experience influencing senior leaders and cross-functional partners.
Nice to have: Experience in language learning, edtech, or other mobile consumer products.
Nice to have: Experience building data functions across international markets.
Nice to have: Exposure to ML/AI modeling for personalization or recommendation systems.
Benefits
Join a fantastic, tight-knit team at the right time.
Do your life's work with people you’ll love working with.
Global in nature: We’re live in over 40 countries.
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