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Sports & Health: Your well-being is our top priority. Therefore, we offer you a range of opportunities to improve your health. Profit from a membership (M) package at Urban Sports Club, providing a variety of sports offers tailored to your interests.
While this is a remote position based in Germany, it may require occasional on-site collaboration at our offices in Berlin or Cologne, depending on business and team requirements.
Company Description
As a Senior Data Product Manager, you will take end-to-end ownership of the Data Product strategy and portfolio within a business domain, shaping how data is used to solve meaningful business challenges and create measurable value.
Whether your domain is Customer, Marketplace, Finance, Procurement, Pricing or Marketing, you will define the product vision, translate complex business challenges into scalable Data Products, and ensure that the solutions we build are adopted and create measurable impact.
Own and drive the Marketing Data Product roadmap
Own the technical foundation of marketing data products with Data Engineering and IT
Translate business challenges into product features and priorities
Manage backlog and agile delivery in Jira and Confluence
Ensure data quality and governance standards across products
From the employer’s posting
As a Senior Data Product Manager, you will take end-to-end ownership of the Data Product strategy and portfolio within a business domain, shaping how data is used to solve meaningful business challenges and create measurable value.
Whether your domain is Customer, Marketplace, Finance, Procurement, Pricing or Marketing, you will define the product vision, translate complex business challenges into scalable Data Products, and ensure that the solutions we build are adopted and create measurable impact.
Own and drive the Marketing Data Product roadmap
Own the technical foundation of our Marketing Data Products
Translate business challenges into product opportunities
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Azure
Databricks
dbt
Power BI
Where the posting names them
You don't need to be a Data Engineer yourself, but you should have a strong understanding of modern data platforms, data models, pipelines and marketing measurement methodologies. You'll be comfortable working closely with technical experts, challenging solutions and translating complex marketing requirements into scalable data products.
Databricks • dbt • Power BI • Microsoft Fabric • Azure Cloud • Modern Data Platforms • Marketing Analytics • Data Products • Jira • Confluence
About your tasks
- Hands-on experience with marketing measurement methodologies, particularly Attribution, Marketing Mix Modeling (MMM) and incrementality testing, with an understanding of how these approaches support marketing effectiveness and investment decisions.
- Strong understanding of modern data platforms and technologies, particularly Databricks, dbt and Power BI, with the ability to collaborate confidently with technical teams on data models, pipelines and integrations.
- Proven experience working in agile environments, including backlog management, sprint planning and stakeholder coordination using Jira and Confluence.
New ML Engineer postings at the employers we follow are up 12% over the last 5 weeks compared with the 5 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
Median yearly pay, May 2025
$140,300
Expected change, 2025 to 2035
21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
You don't need to be a Data Engineer yourself, but you should have a strong understanding of modern data platforms, data models, pipelines and marketing measurement methodologies. You'll be comfortable working closely with technical experts, challenging solutions and translating complex marketing requirements into scalable data products.
Databricks • dbt • Power BI • Microsoft Fabric • Azure Cloud • Modern Data Platforms • Marketing Analytics • Data Products • Jira • Confluence
About your tasks
Build and shape our new Marketing Data & Measurement team, helping establish the foundations, ways of working and product capabilities needed to support data-driven marketing decisions.
Own and drive the Marketing Data Product roadmap, translating the measurement strategy defined by Marketing and Marketing Analytics into scalable products and capabilities, including Attribution, Customer Lifetime Value (CLV), Marketing Mix Modeling (MMM) and incrementality testing.
Own the technical foundation of our Marketing Data Products, working closely with Data Engineering and IT to develop reliable data models, pipelines and integrations of new data sources into our existing data stack.
Translate business challenges into product opportunities, working with Marketing and Marketing Analytics to understand underlying business problems, prioritize features and continuously improve the performance and adoption of our data products.
Drive adoption and business value, ensuring Marketing Data Products are embedded into day-to-day marketing decisions and deliver measurable outcomes through clear product metrics, stakeholder feedback and business KPIs.
Act as the key interface between Marketing, Marketing Analytics, Data Engineering and IT, aligning stakeholders on priorities, dependencies, technical requirements and delivery.
Lead cross-functional collaboration, working with Product teams, Data Engineers, Analysts and technical stakeholders to turn marketing measurement requirements into scalable, reliable solutions.
Own backlog management and agile delivery, managing priorities, sprints and stakeholder expectations using Jira and Confluence while balancing new capabilities, technical improvements and operational requirements.
Enable scalable and reliable marketing analytics, supporting the development of a modern data platform that empowers Marketing Analytics teams with accessible, reusable and trustworthy data products.
Ensure data quality and governance, establishing clear standards for reliability, consistency and accessibility across all products delivered by the Marketing Data & Measurement team.
Qualifications
About You
Several years of experience as a Product Owner or Product Manager within Marketing Analytics, MarTech or Data Products, ideally with experience building or leading cross-functional teams.
Strong understanding of marketing and e-commerce, including performance marketing, brand marketing, CRM, customer retention and the role of data in driving commercial decisions.
Hands-on experience with marketing measurement methodologies, particularly Attribution, Marketing Mix Modeling (MMM) and incrementality testing, with an understanding of how these approaches support marketing effectiveness and investment decisions.
Strong understanding of modern data platforms and technologies, particularly Databricks, dbt and Power BI, with the ability to collaborate confidently with technical teams on data models, pipelines and integrations.
Proven experience working in agile environments, including backlog management, sprint planning and stakeholder coordination using Jira and Confluence.
Strong stakeholder management and communication skills, with the ability to influence cross-functional teams and explain complex technical concepts and measurement methodologies to senior and C-level stakeholders.
A hands-on, product-driven mindset, comfortable operating at the intersection of Marketing, Data and IT, challenging requirements and translating business needs into scalable solutions.
Fluent English and German, with experience in e-commerce, retail or the healthcare/pharmaceutical industry considered a strong advantage.
Additional Information
About your Benefits:
In order to provide our employees with the best possible support for their individual needs, we offer a wide range of benefits:
Work from Home: If your job does not require you to be present in the office, we can arrange the place you work from individually - even for up to 20 days a year anywhere in the EU.
Redcare events: We promote teambuilding through creative team events, and celebrate our successes together at regularly scheduled parties.
Kindergarten Grant: We offer our employees who pay for childcare in kindergarten 100,00 € (total) per month.
Mental health: Get quick professional help from psychologists from nilo if you feel overwhelmed in your personal or professional life. Anonymously and free of charge.
Personal Development: We are all constantly learning. That's why we support and foster your career development through internal & external training and help you grow.
Mobility: Your commute matters to us. We provide our employees with a fully costed Deutschland Ticket which can be used at any time.
Sports & Health: Your well-being is our top priority. Therefore, we offer you a range of opportunities to improve your health. Profit from a membership (M) package at Urban Sports Club, providing a variety of sports offers tailored to your interests.
While this is a remote position based in Germany, it may require occasional on-site collaboration at our offices in Berlin or Cologne, depending on business and team requirements.
Company Description
About Redcare Pharmacy:
As Europe’s No.1 e-pharmacy Redcare Pharmacy is powered by passionate teams and cutting-edge innovation. We strive to create a healthy collaborative work environment where every employee feels valued and inspired to contribute to our vision “Until every human has their health”. If you’re seeking a career that offers purpose and aligns with your values join us and start your #Redcareer today.
About the role
As a Senior Data Product Manager, you will take end-to-end ownership of the Data Product strategy and portfolio within a business domain, shaping how data is used to solve meaningful business challenges and create measurable value.
Whether your domain is Customer, Marketplace, Finance, Procurement, Pricing or Marketing, you will define the product vision, translate complex business challenges into scalable Data Products, and ensure that the solutions we build are adopted and create measurable impact.
Working at the intersection of business, product and data, you will have the autonomy to challenge assumptions, identify the opportunities that matter most, and bring business stakeholders and cross-functional Data & AI teams together around a clear product direction.
This is not a traditional requirements-management role. We are looking for someone who thinks in problems, outcomes and products rather than requests and individual reports.
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Pay
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Location & working pattern
Cologne, Germany
- Sports & Health: Your well-being is our top priority. Therefore, we offer you a range of opportunities to improve your health. Profit from a membership (M) package at Urban Sports Club, providing a variety of sports offers tailored to your interests.
While this is a remote position based in Germany, it may require occasional on-site collaboration at our offices in Berlin or Cologne, depending on business and team requirements.
Company Description
Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.