Head of Data

Yes4All is one of the leading brands for home sporting goods & furniture in the e-commerce market. Founded in 2010, we have strived to be the world leader in e-commerce enablers in term of trading, product creating and e-commerce servicing. Based in California with an operation office in HCMC, we have more than 500 young and talented members with expert knowledge and experience in the e-commerce industry.
We are on an ambitious journey to dominate not only US e-commerce market but also to enter new e-commerce markets of more than 15 countries in Europe, Asia and North America, not only Amazon channel but also Walmart, Wayfair among others. Besides, home sporting goods, furniture, outdoor and gardening are also great opportunities that we desire to occupy and create significant values. With our steady knowledge in E-commerce, Yes4All started to provide end-to-end ecommerce-enabler service in order to help Vietnamese and global manufacturers or struggling sellers bring their products to the US & International markets.
Our mission: Connect the Worldwide Resources & create innovative platform to bring products and services from innovators and manufacturers to worldwide customers more efficiently.
Our vision: To be the world leader of e-commerce enabler in term of trading, product creating, and e-commerce servicing.

I. JOB DECRIPTIONS

1. 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.

II. REQUIREMENTS

1. Education & Experience

• Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, or a related field. A Master's or Ph.D. is a plus.
• 7+ years of experience in data engineering, data science, or machine learning, with at least 3 years in a leadership role.
• Proven experience in managing and scaling data teams within a fast-paced, data-driven environment (e-commerce experience is a plus).

2. Technical Skills

• Expertise in data engineering technologies such as SQL, Python, Spark, Hadoop, Kafka, etc.
• Strong background in machine learning frameworks and tools (e.g., TensorFlow, PyTorch, Scikit-learn).
• Proficiency with cloud-based platforms (AWS, GCP, Azure) and big data technologies.
• Experience with data architecture, ETL, data modeling, and data warehousing (e.g., Snowflake, Redshift).

3. Leadership & Soft Skills

• Strong leadership and team management skills, with the ability to inspire and guide a diverse team.
• Excellent communication and interpersonal skills, with the ability to interact with stakeholders at all levels.

III. WHY YOU WILL LOVE JOINING US?

1. FOR YOU TO JOIN

• Financial Well-being: A competitive salary with 13th month salary, annual performance bonus and a variety of allowances.
• Salary review: annually or on excellent performance.
• Activities: company trips, team-building, and other customized monthly bonding events.
• Annual leaves: 16 days off and 01 Birthday Leave per year.
• Healthcare: annual health check, insurance according to Labor Law and extra PTI Insurance package.
• Working Environment: dynamic, friendly environments with working time flexibility, and other perks include snacks, coffee, and healthy food provided daily suited for hardworking, fun, and team collaboration.

2. FOR YOU TO GROW

• Ambition: We are now keeping on with our hyper growth to multicategory, multichannel, multimarket, and expanding into the world largest e-commerce enabler. Hence, there will continuously be opportunities to challenge yourself, learn new skills and knowledge.
• Challenges: Your voice can always be heard as we embrace the eagerness of learning and sharing. You can be your own boss and create your own value with the ability to take initiative and make decisions in all aspects of work.
• Chances: Be led and coached by experienced and inspirational leaders and participate in various training courses where you can enlarge your knowledge and experience in the E-commerce and Supply Chain industry.

3. FOR YOU TO STAY

• People: Having a headquarter in the US and an operation office in Vietnam, our team is young and highly motivated. You will be working with and alongside members having experiences from International Corporations or high profile from Vietnam that share the same passion and dedication.
• Culture: Our working environment is humble, collaborative and 100% healthy. We promote Exchange & Speak out, you can receive transparent and supportive feedback so you can perform the best.
• Career path: Provide you with a great career path, open to rotating for your better understanding of the company and contribute across many of our functions.

And much more, join us and let yourself explore other fantastic things!

• Bằng cấp: Đại học
• Độ tuổi: 30 - 50
• Hình thức: Nhân viên chính thức