E-Commerce Data, Automation & AI Manager (m/w/d)

Job description

Job Title E-Commerce Data, Automation & AI Manager (m/w/d) Job Description Your role: Develop and execute an AI and automation roadmap for the Western Europe Amazon e-commerce function Support in building a future-proof e-commerce strategy to help Philips win in AI-driven shopping environments, including Amazon Rufus, Alexa Shopping, Agentic Commerce, GEO Define how Philips Personal Health products are discovered, compared, ranked, and recommended by AI shopping assistants, moving beyond traditional keyword search toward conversational and agentic commerce Develop automated reports and alerts covering sales, traffic, conversion, media efficiency, share of search, digital shelf quality, pricing, availability, and portfolio performance Use predictive analytics and machine learning to support promotion effectiveness, sales trend identification and early risk detection Drive adoption of AI-enabled tools and workflows by training users, documenting processes, embedding new ways of working, and supporting change management Establish responsible AI and data governance standards, ensuring data quality, transparency, compliance, and alignment with business objectives Lead test-and-learn initiatives to validate new AI e-commerce opportunities, measure business impact, and scale successful use-cases across Western Europe Amazon markets You're the right fit if you have experience in: Working with Amazon Vendor Central, Seller Central, Amazon Ads, retail media, or digital shelf platforms such as Profitero or Flywheel Commerce Cloud Using AI tools, machine learning models, automation platforms, or predictive analytics Scripting computer applications Working with AI-driven search, recommendation engines or conversational / agentic commerce Building dashboards, automated reports, or business intelligence solutions Working with media optimization, keyword analysis, pricing analytics, demand forecasting, or content optimization Working across EU markets and cross-functional teams. Preferred Certifications Certifications in AI, machine learning, data analytics, automation, Amazon Ads, Google Analytics, Power BI, Tableau, Python, SQL, or cloud analytics platforms are a plus. How we work together We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week. About Philips We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others. • Learn more about our business . • Discover our rich and exciting history . • Learn more about our purpose . If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here . #LI-Eu #LI-Office #PersonalHealth