Tech Director

About Trafilea

Trafilea is a Consumer Tech Platform for Transformative Brand Growth. We’re building the AI Growth Engine that powers the next generation of consumer brands.

With over $1B+ in cumulative revenue 12M+ customers and 500+ talents across 19 countries we combine technology growth marketing and operational excellence to scale purpose-driven digitally native brands.

We own and operate our own digitally native brands (not an agency) with presence in Walmart Nordstrom and Amazon and a strong global D2C footprint.

Why Trafilea

We’re a tech-led eCommerce group scaling our own globally loved DTC brands while helping ambitious talent grow just as fast.

🚀 We build and scale our own brands.

🦾 We invest in AI and automation like few others in eCom.

📈 We test fast grow fast and help you do the same.

🤝 Be part of a dynamic diverse and talented global team.

🌍 100% Remote USD competitive salary paid time off and more.

Key Responsibilities

The mission of the Data & Analytics Director is to define and lead Trafilea’s data strategy ensuring data accuracy availability and accessibility across the organization . This role will oversee data science data engineering and business intelligence teams to enable data-driven decision-making. By aligning initiatives with business objectives the Director will foster innovation scalability and a culture of using insights to drive performance.

• Lead the development and execution of Trafilea’s data strategy.

• Ensure compliance with global data privacy and security standards.

• Manage and scale high-performing teams across data science engineering and BI.

• Promote a culture of knowledge-sharing mentorship and innovation.

• Ensure data pipelines warehouses and reporting systems deliver accuracy and scalability.

• Drive adoption of cloud platforms (AWS Azure GCP) for modernized infrastructure.

• Collaborate with Marketing Product Operations and Finance to ensure data initiatives support business goals.

• Deliver dashboards models and reports that connect operational performance with strategic outcomes.

• Stay at the forefront of new technologies and methodologies in data science and analytics.

• Apply advanced analytics and AI to unlock growth opportunities.

• 10 years in development 5 in a senior role (Tech Manager)

• Bachelor’s or Master’s in Data Science Computer Science Statistics or related field.

• Extensive experience in data leadership ideally in high-growth or e-commerce environments.

• Proven success in building and managing data science engineering and BI teams.

• Expertise in SQL Python R and data visualization (Tableau Power BI).

• Strong understanding of cloud platforms (AWS Azure GCP).

• Deep knowledge of advanced analytics ML pipelines and data governance.

• Strong project management and cross-functional collaboration skills.

• Excellent communicator able to simplify complexity for business audiences.

• Visionary leader with a balance of strategic thinking and execution focus.