Senior Product Manager (Canadian Timezone) @ N-iX
(práce v Polsku)

Senior Product Manager (Canadian Timezone) @ N-iX

Polsko

• Work in the Canadian timezone (EDT) 
• 4+ years of experience in product management, with a focus on data platforms, data products, or analytics solutions.
• Experience with data warehousing technologies
• Proficiency in data analysis and prototyping
• Experience with data architecture, ETL/ELT pipelines, and data governance.
• Familiarity with AI/ML platforms (e.g., Databricks, DataRobot) and BI tools (e.g., Tableau, Quick Sight).
• Familiarity with data mesh, data contracts, and modern data
• Balance technical depth with business acumen, and to communicate with both technical and non-technical audiences.
• English level - Upper-Intermediate and above.
• Bachelor’s degree in computer science, Engineering, Business, or related field; equivalent experience considered.

We are looking for a Senior Product Manager to join our team.

Our customer is the European online car market with over 30 million monthly users, with a market presence in 18 countries. As a Senior Product Manager, you will play a pivotal role in shaping the future of online car markets and enhancing the user experience for millions of car buyers and sellers.

,[Lead roadmap execution for the team’s internal and external data products, ensuring understanding of the clients’ goals and user needs. , Enable data product transformation for internal and external data products to drive maximum business value , Champion data as a product, promoting adoption of data capabilities across the organization. , Collaborate with Data Engineering, Analytics, and Business teams to define product requirements, prioritize features, and provide solutions. , Guide the development of data transformation and presentation layers to support data analytics. , Ensure data products are secure, compliant, and scalable, with a focus on usability and performance. , Monitor product performance using OKRs and KPIs and iterate based on feedback and evolving needs. , Stay current with industry trends in data platforms, AI/ML, and cloud technologies, and apply best practices to product development. ] Requirements: Product Management, Data, BI Tools Tools: Agile. Additionally: Flexible working hours and remote work possibility, Mentoring program, Life insurance, Training budget, English lessons, Compensation of Certifications, Active tech community, International team, Referral program, Cafeteria, Modern office, Free coffee, Kitchen, Friendly atmosphere.

Kategorie

productManagement

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