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

Philips is hiring an E-Commerce Data, Automation & AI Manager (m/w/d) in Hamburg, Germany. It pays €111k-€119k a year and Level rates it ; you can apply on Philips.

Level's read on this job

On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
Tools and skills the posting cites include Python, SQL and Power BI.
Level classifies it as a senior role.
Level lists 791 other open roles at Philips.

AI in this role

Develop and execute an AI and automation roadmap for Philips Western Europe Amazon e-commerce operations.

pythonsqlpower-bitableauamazon-vendor-centralamazon-seller-centralamazon-adsprofiteroflywheel-commerce-cloudgoogle-analytics

ai-safetyecommerceartificial-intelligencemachine-learningautomationpredictive-analyticsdata-governance

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.

Taking responsibility should be rewarded fairly and transparently. The annual base salary for this position is between €110,758.00 and €119,051.00, and is based on the applicable collective bargaining agreement. The stated salary range reflects the tariff progression within the corresponding pay grade. New employees are generally placed in the base level of the respective pay grade.

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

How we rate this

E-Commerce Data, Automation & AI Manager (m/w/d) at Philips rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

E-Commerce Data, Automation & AI Manager (m/w/d) is an open job at Philips.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is €111k-€119k a year.
The role is based in Hamburg.
The job was posted on September 28, 2026.
Seniority: senior.
Applications are handled by Philips. Apply on Philips

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI SafetyEcommerceArtificial IntelligenceMachine learningAutomationPredictive AnalyticsData GovernancePython

Questions you could be asked

How do you think about the risk of an AI system in this kind of role failing silently?
Tell me about a project where ecommerce was part of your work. What did you do?
Tell me about a project where artificial intelligence was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where automation was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI Safety, Ecommerce, Artificial Intelligence, Machine learning, and Automation. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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