Head of Data and Analytics, Speak

• 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

Desirable

• As the Head of Data & Analytics, you will be responsible for building and leading a world-class data organization that powers product, growth, and data engineering at Speak
• You’ll define and execute the strategy that ensures every decision at Speak is data-informed while scaling our infrastructure, improving data accessibility, and driving measurable business impact across millions of learners worldwide
• 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