Data Manager (AI/ML)

Location: Luxembourg; hybrid work with teams in the office an average of four days a week.

Company

hirify.global is a WPP agency providing brand experience, customer experience, commerce, data, and Amazon consulting services for global brands.

What you will do

• Lead, mentor, and develop a cross-functional team of Data Scientists, BI Engineers, and Data Analysts.
• Own delivery planning, JIRA workflows, backlog prioritization, Scrum ceremonies, stakeholder communication, and delivery quality.
• Build, review, debug, and ship production-quality solutions using SQL, Python, dbt, BigQuery, AWS, Power BI, and Looker Studio.
• Develop scalable data products, analytical solutions, machine learning models, AI-powered tools, and commercial intelligence offerings.
• Use AI coding and workflow automation tools while enforcing code review, testing, explainability, and responsible AI practices.
• Lead client discovery, scoping, presentations, research initiatives, and coordination with IT, Media, Content, and Account teams.

Requirements

• 5+ years of experience in Data Science, Advanced Analytics, or a related field, including 1–2 years leading mixed technical teams.
• Advanced SQL, solid Python with pandas, NumPy, and scikit-learn or equivalent, plus experience with cloud data environments such as BigQuery and AWS.
• Strong knowledge of machine learning, statistics, measurement, experimentation, and model quality evaluation, with experience moving models into production or decision-support tools.
• Hands-on experience with AI coding assistants and automation tools, supported by disciplined review, testing, and debugging.
• Experience with Agile/Scrum practices, JIRA administration, backlog management, sprint facilitation, and client-facing delivery.
• Fluent English, written and spoken, is required.

Nice to have

• Experience in digital advertising, retail media, e-commerce, or the Amazon ecosystem, including AMC, DSP, Sponsored Ads, or Vendor Central.
• GenAI or LLM experience, including prompt engineering, RAG pipelines, LLM evaluation, or human-in-the-loop deployment.
• MLOps, model monitoring, drift detection, data products, semantic layers, scoring systems, or recommendation engines.
• Agency, consulting, or WPP experience and additional languages, especially French or German.

Culture & Benefits

• Senior leadership role with strategic influence over data, ML, and AI across a European Amazon practice.
• Opportunity to shape a team roadmap and develop commercial solutions for major global brands.
• AI-assisted, experimentation-focused environment supported by strong technical foundations.
• Collaborative and inclusive workplace that values curiosity, ownership, diverse perspectives, and impact.
• Hybrid setup with regular office collaboration and flexibility accommodations discussed during the hiring process.