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.
Senior Data Scientist at Sun Life Financial driving business initiatives through generative AI and analytics. Collaborating with stakeholders and developing AI solutions to translate business goals into actionable insights.
Data Scientist utilizing advanced analytical techniques in financial regulation at FCA. Driving innovation by uncovering insights from complex datasets and shaping future regulatory frameworks.
Data Scientist at Capital One leveraging AI and machine learning to analyze vast customer data. Collaborating with cross - functional teams to deliver user - friendly solutions and insights.
Senior Manager driving product analytics at Mistplay, the mobile gaming loyalty app. Leading teams to enhance analytics and experimentation in mobile gaming strategies.
Product & Data Manager role focusing on data reliability and product offerings for Eldora Group in Switzerland. Engage with various departments for operational excellence and quality assurance.
Senior Data Scientist at Eyecare Health transforming data into actionable insights and predictive models. Leading machine learning initiatives to optimize decision - making and improve health outcomes.
Data Scientist II at LexisNexis applying statistical analysis and building predictive models for fraud and credit risk. Collaborating with teams to enhance existing products and provide actionable insights.
Senior Lead Data Scientist managing a data science team focused on pricing models in Business Insurance. Driving success through scope definition, mentorship, and collaboration with various teams.
Head of Data Sources and Acquisition Strategy managing external data sourcing at Fitch Group. Overseeing partnerships and compliance, ensuring data quality and business alignment.
Data Scientist driving data - led decision - making in Zurich's Life products team. Collaborating with data, AI and business experts to enhance efficiency and strategic insights.