E-Commerce Data, Automation & AI Manager

About the role

Lead the development and execution of an AI‑driven automation roadmap for Philips' Western Europe Amazon e‑commerce function. Shape a future‑proof e‑commerce strategy that leverages conversational and agentic commerce to help Philips win in AI‑enabled shopping environments.

Key responsibilities

• Develop and execute an AI and automation roadmap for the Western Europe Amazon e‑commerce function.
• Define how Philips Personal Health products are discovered, compared, ranked, and recommended by AI shopping assistants.
• Build automated reports and alerts covering sales, traffic, conversion, media efficiency, 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 through training, documentation, and change management.
• Establish responsible AI and data governance standards, ensuring data quality, transparency and compliance.
• Lead test‑and‑learn initiatives to validate new AI e‑commerce opportunities and scale successful use‑cases across Western Europe Amazon markets.

Required profile

• Experience with Amazon Vendor Central, Seller Central, Amazon Ads, retail media or digital‑shelf platforms such as Profitero or Flywheel Commerce Cloud.
• Hands‑on experience using AI tools, machine‑learning models, automation platforms or predictive analytics.
• Ability to script computer applications and work with AI‑driven search, recommendation engines or conversational commerce.
• Proven track record building dashboards, automated reports or business‑intelligence solutions.
• Experience in media optimisation, keyword analysis, pricing analytics, demand forecasting or content optimisation.
• Demonstrated ability to work across EU markets and cross‑functional teams.

Required skills

• Certifications or proven expertise in AI, machine learning, data analytics and automation.
• Knowledge of Amazon Ads, Google Analytics, Power BI, Tableau, Python, SQL and cloud analytics platforms.