Data Product Manager (f/d/m)

Founded in 1996, mobile.de disrupted the status quo of buying and selling cars as the first online vehicle marketplace.

Today, we are Germany's largest vehicle marketplace with around 1.4 million listed cars, commercial vehicles, motorcycles and e-bikes. Both private customers and more than 40,000 registered vehicle dealers use the platform and benefit from 108 million customer visits per month. As a “one-stop shop”, mobile.de's offering includes financing and leasing solutions in addition to buying and selling - and we will not stop innovating. If you are driven by an eagerness to learn and a passion for collaboration then we should get to know each other.

mobile.de is an equal opportunity employer and we value diversity. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability status.

If you feel like you don’t meet all of the requirements for this role but are interested, please consider applying anyway. We strongly encourage people from historically excluded groups to apply.

What we offer

We are looking for a Data Product Manager (d/f/m)

You will join our Data & Analytics Strategy team with the mission to maximize value and insights generation using data. We are on the journey towards empowering our business with the right data, insights and tools. As part of this journey, you will create an impact by accelerating our journey to become data-driven by leading the development & management of data products in the company to meet the needs of the stakeholders. 

We have a team set up with Analytics, Data Science, Data Engineering, and collaborate closely with Product and Technology. Striving towards providing the best experience for our customers in meeting their mobility needs. Within these expert groups, we believe in sharing knowledge and developing standards and solutions for data products and smart products to fulfill our business objectives. 

Your Role & Responsibilities:

• Requirements Engineering: Bridge technical and business needs, act as translator to align data capabilities with the business objectives

• Planning & Prioritization: Define priorities based on potential growth and long-term strategic goals

• Strategic Partnership with Business Teams: Act as a strategic partner to business teams (clusters) by empowering them to lead with data. Consult with them to integrate data planning into their business and product roadmaps, and support them in efficiently managing data engineering and other resources to achieve high-impact objectives.

• Driving User Adoption: Drive adoption of data products by providing training, documentation, and ongoing support to end-users.

• Championing Data Self-Service: Promote a data self-service culture by researching and proposing data-driven solutions, and empower teams (e.g., Marketing, Sales, Product) through upskilling initiatives.

• Elevating Data Quality Standards: Mentor teams to improve data quality standards, foster best practices, and help team members develop skills to use data effectively and build data-centric solutions.

Your Profile:

• Conceptual understanding of data engineering principles, including data pipelines and data modeling techniques (e.g., LookML, dbt). 

• Experience with data analysis and BI tools (e.g., SQL, Looker) is preferred.

• Knowledge of data governance, security, and quality frameworks.

• Proven experience in Data Product Management, including roadmap planning, prioritization, defining success metrics for data products, and working with agile methodologies.

• Exceptional project management and communication skills, with the ability to explain complex ideas and collaborate effectively with stakeholders at all levels. Skilled at translating business requirements into actionable solutions for data engineers.

• A strong desire to learn and grow within the evolving data mesh domain and strong understanding of the business landscape to drive strategic decision making with data.