South Pole

Director of Data – AI

South Pole

full-time

Posted on:

Location Type: Office

Location: AmsterdamSwitzerland

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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