
Director of Data – AI
South Pole
full-time
Posted on:
Location Type: Office
Location: Amsterdam • Switzerland
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Job Level
Tech Stack
About the role
- Identify and prioritize high-impact areas across the business where AI can drive revenue or efficiency
- Act as the primary subject matter expert for the leadership team on AI trends, risks, and competitive advantages
- Develop frameworks for responsible AI use, ensuring data privacy, transparency, and compliance with emerging regulations
- Manage a pipeline of AI projects from "Proof of Concept" (PoC) to full-scale production
- Be the sparring partner to the Business Leads and AI champions on the AI efficiencies and implementation in the business context
- Evaluate and map disparate data sources across the organization to determine "AI-readiness" (quality, labeling, and accessibility)
- Oversee the day-to-day progress of AI developments, removing blockers and ensuring high-quality output
- Partner with People and Culture on the Organizational upskilling program to ensure the AI adoption is broad
Requirements
- 8+ years in technology leadership
- 3+ years specifically focused on implementing Machine Learning or Generative AI solutions
- Deep understanding of the AI lifecycle (data preparation, fine-tuning, RAG architecture, and deployment)
- Deep knowledge of data warehousing, ETL/ELT processes, and data modeling
- Proven ability to translate complex technical concepts into "business speak" for stakeholders and clients
Benefits
- Flexible working hours
- Flexible workplace (home office)
- Above-average vacation allowances
- Options to buy up to 5 extra days of time off
- Available to all employees across the world
- Access to mental, physical and financial wellbeing support through our Employee Assistance Program
- Competitive Paid Parental leave
- Compassionate Leave
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Machine LearningGenerative AIAI lifecycledata preparationfine-tuningRAG architecturedeploymentdata warehousingETLdata modeling
Soft Skills
technology leadershipstakeholder communicationproblem-solvingproject managementcollaborationstrategic thinkingadaptabilitymentoringtranslating technical conceptsremoving blockers