Data Product Manager

March 14

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Logo of AUTODOC

AUTODOC

AUTODOC is the leading technology ecosystem connecting all stakeholders in the automotive aftermarket. It is the largest and fastest-growing e-commerce platform for vehicle parts in Europe, operating in 27 countries with local domains available in 23 languages. Founded in 2008 in Berlin, AUTODOC has become one of Europe's most exciting internet companies, generating a revenue of over 1. 3 billion euros in 2023. The company offers 5. 8 million products from 2300 brands for car, truck, and motorcycle manufacturers, providing reliable solutions for all parties involved in the market. With a diverse team of around 5000 employees across ten sites, AUTODOC is committed to its entrepreneurial spirit and a unique business model that delivers outstanding value to its customers.

e-commerce • online retail • automotive spare parts e-commerce • internet • online

5001 - 10000 employees

Founded 2008

🛍️ eCommerce

🚗 Transport

👥 B2C

📋 Description

• Research, define, and communicate a clear product vision aligned with the company's overall strategy. • Develop and maintain a strategic roadmap for the assigned data product(s). • Conduct market research, stakeholder & competitive analysis, and customer feedback analysis to inform product strategy. • Identify opportunities for product innovation. • Ensures product completeness. • Communicate clearly and actively participate in meetings. • Engage with internal and external stakeholders to gather requirements, provide updates, and ensure alignment with business objectives. • Act as the primary point of contact for all matters related to the assigned data product(s). • Develop the solution vision and roadmap.

🎯 Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Business Administration, or a related field. • Proven experience as a product manager, preferably in the IT/software industry 7+ years. • Experience with technological data products. • Strong understanding of data product management principles, data analytics, and software development processes. • Domain area expertise in establishing a data warehouse, including performing extensive domain and market research to determine product vision and strategic roadmap. • Familiarity with data visualization tools and techniques. • Experience with cloud platforms and technologies (e.g., AWS, Azure, Google Cloud). • Knowledge of machine learning and AI technologies and their applications in data products. • Skills in data engineering to build data products. • Skills in data analysis and data science to understand how those products will be used. • Skills in data platform development, coding pipelines, managing data quality monitoring. • Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams. • Strong analytical and problem-solving abilities, with a data-driven approach to decision-making. • Ability to prioritize and manage multiple tasks in a fast-paced environment. • Leadership qualities and the ability to influence and motivate others towards a common goal. • Familiarity with different roadmap prioritization frameworks and ensuring solution viability. • Adaptability and flexibility in approach. • Ability to identify and solve problems effectively, leading products to success

🏖️ Benefits

• Competitive salaries based on your professional experience • Fast-growing international company with stable employment • Annual vacation and 1 additional day off on your birthday • Mental Wellbeing Program – the opportunity for free psychological counseling for you and your family members • 24/7 hotline and online sessions • Opportunities for advancement, further trainings (over 650 courses on soft and hard skills on our e-learning platform), and coaching • Free English and German language classes • Flexible working hours and hybrid work

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