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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal Product Manager - Analytics Platform - **Company:** Super Technologies - **Location:** Netherlands - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Analytics Applications, Data Analysis, Big Data, BigQuery, Databases, Extract Transform Load (ETL), Data Warehousing, Software Engineering, Snowflake, Information Technology, Data Analytics, Data Management, Amazon Redshift - **Published:** May 22, 2026 - **Apply:** https://nl.indeed.com/viewjob?jk=42674a1194441f26 ## About the Role Do you have experience in Usability?, Do you have a Master's degree?, * Bachelor's or Master's degree in Business, Computer Science, Data Science, or a related field. * 6-8+ years of product management experience, specifically with data products or analytics platforms. 2. Technical & domain expertise * Strong familiarity with Analytics databases (e.g Snowflake, BigQuery, Redshift), ETL pipelines, DWH concepts and BI tools. * Ability to convert complex technical concepts into clear business value. * Proven track record in leading cross-functional teams 3. Strong differentiators * Previous experience driving large-scale data product initiatives from ideation to launch * Experience in entertainment, online gaming, or sports betting industries. ## Description You will define the "what" and "why" of our platform , ensuring it transitions from a reactive service to a strategic partner that empowers every team at Super to leverage data and AI capabilities at scale., Product strategy & vision * Own and articulate the product strategy and long-term vision for the Analytics Platform by defining the end-to-end analytical product lifecycle -- from data producer contract management and quality guardrails to downstream data consumers, their access patterns, and measurable value realisation. * Develop a long-term vision for the Analytics Platform, aligning with broader data-driven objectives. * Stay ahead of industry trends in cloud warehousing, data modeling, and emerging AI technologies. * Propose and explore new ways of utilizing Snowflake to leverage AI capabilities and drive business value. User research & advocacy * Define and continuously evolve a clear measurement framework for Analytics Platform usability and adoption; use it to enable data-driven decisions with platform leaders and to directly shape roadmap priorities based on measurable impact. * Deeply investigate actual customer needs, workflows, and pain points to eliminate "blind spots" in platform adoption. * Address the gap between technical uptime and user perception by ensuring data is intuitive, clear, and reliable. * Champion a user-centric culture, transforming how technical and business teams interact with our data models. Roadmap & stakeholder management * Build and maintain a prioritized product roadmap, balancing operational excellence with strategic initiatives. * Collaborate with Product, Marketing, and Data Science to ensure Analytics platform is focused on most impactful initiatives across all areas Strategic integration * Partner with Product teams to ensure the Analytics Platform is a first-class citizen in the development lifecycle, not an afterthought. * Partner with the Analytics Platform and Data leadership to transform high-level objectives into vision, direction and roadmap for a scalable, reliable technical platform. Execution & delivery * Translate business goals into well-defined problem statements, user stories, and acceptance criteria. * Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress. * Ensure every initiative has a defined "Problem to Solve" and clear success measurement. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [Making Data Warehouses fast. 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