Head of Data (Data Architect / Data Science)

Founded in 2009 in Orange County, California, Yes4All has grown to become one of the  leading names in the fitness, furniture and lifestyle market. A significant player in e-commerce since 2016, we were among the first invited to Amazon’s Vendor Central (AVC) program and have been a top-12 Sports & Outdoors brand on Amazon since 2021.We expanded our presence across the USA and 17 international markets, reaching $132M GMV with 74% YoY growth in 2023, achieving 26% YoY GMV growth in 2024 and a 3.5X increase in EBITDA. With 2,000+ SKUs on platforms like Amazon, Wayfair, and Walmart, we continue to scale.Guided by Mr. Nguyen Chi My, we leverage Vietnam’s competitive strengths and strategic manufacturing partnerships to drive innovation. Beyond our own success, we empower Vietnamese SMEs, providing expertise to scale internationally.At Yes4All, our people are at the heart of our success. We empower our team members to Shine The S.E.A by embracing extreme ownership, which fosters authentic and trust-based collaboration and drives sustainable value creation. As part of the CriTICal SquaD, our members embody core competencies that set us apart. We foster a dynamic and supportive environment, encouraging individuals to grow, take initiative, and make incredible impacts.Our vision: To become the global leader in innovative products and services, delivering excellence, quality and affordability for all.Our mission: To empower global consumers with access to quality and affordable products through innovative e-commerce solutions, while fueling the success of innovators, brands and manufacturers.Join us and be part of a passionate team that is redefining the fitness and lifestyle industry!For more information: Website:   LinkedIn:  JOB DECRIPTIONS1. Data Strategy & Governance Develop and implement a comprehensive data strategy aligned with the company’s business objectives.Oversee data governance practices, ensuring data accuracy, privacy, security, and compliance with relevant regulations (e.g., GDPR, CCPA). Define data standards and best practices for data collection, integration, and processing. 2. Data Architecture & Infrastructure Lead the design, development, and maintenance of scalable data architectures and infrastructure.Oversee the implementation of data pipelines, data lakes, and ETL processes to ensure efficient data flow across systems. Collaborate with engineering teams to integrate machine learning models into production environments. 3. Analytics & Machine Learning Champion the use of machine learning algorithms to drive business insights, personalization, and predictive analytics in e-commerce. Work closely with business units (e.g., marketing, sales, customer service) to identify key data-driven opportunities and actionable insights. Lead the development and optimization of ML models to enhance customer experiences, improve forecasting, and optimize operational efficiency. 4. Collaboration & Stakeholder Management Partner with senior leadership to define and drive the company’s data-driven goals. Collaborate with product, marketing, and IT teams to ensure alignment on data needs and initiatives. Present data insights, strategies, and progress to stakeholders in an easily digestible format.