Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data - driven solutions for better customer experiences.
About the role
- 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.
- Impact people's lives in a major way.
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