About Company: E-commerce enabler
What you'll do
- Define and execute a company-wide data strategy aligned with business goals and AI ambitions.
- Establish robust data governance, privacy, and compliance frameworks; maintain a centralized data risk library and oversee audits.
- Lead the design and implementation of modern data architecture, pipelines, and AI-ready infrastructure.
- Drive the transition from traditional analytics to real-time AI-powered decision systems (LLMs, RAG).
- Own the AI roadmap and partner with engineering, product, and business teams to deploy AI/ML models into workflows.
- Build and lead a high-performing, cross-functional data team while championing data literacy and responsible AI innovation.
What you'll need
- 7+ years of experience in data engineering, preferably with AI/ML, with at least 4 years in leadership roles
- Proven experience delivering large-scale data initiatives and production-grade AI/ML solutions.
- Strong strategic thinking, stakeholder management, and executive communication skills.
- Experience, RAG architectures, vector databases, modern data stacks, and MLOps.
- Experience in eCommerce, social/ live commerce, or retail is a plus
- Fluent in spoken and written English.
Benefits
- Premium insurance coverage
- 15 days annual leave & 3 days sick leave
- Hybrid working (1 WFH day per week)
- Company-provided laptop
Due to the high volume of applications we are experiencing, our team will only be in touch with you if your application is shortlisted.
