At a Glance
- Tasks: Lead the vision for our Analytics Platform and enhance user experience with data.
- Company: Join a pioneering tech company transforming sports, gaming, and fan experiences.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic team culture focused on collaboration and creativity.
- Why this job: Shape the future of data in an innovative environment and make a real impact.
- Qualifications: 6-8 years in product management with strong data analytics expertise.
The predicted salary is between 70000 - 90000 € per year.
We are on a mission to pioneer the world’s next era of play. As we grow across Europe and Latin America, we’re building The Playstack - the technology powering the next generation of sports, gaming, and fan experiences. Join us, and help make it the most widely used platform in the world! From operations, to marketing, to product, we are looking for talented people who will shape how millions of customers play, watch, and connect every day.
As a Staff Data Product Manager for the Analytics Platform, you will own the vision and roadmap for our core data foundation, primarily powered by Snowflake. Your mission is to bridge the 'Perception vs. Reality' gap: while our platform is technically robust, users often find data hard to use or unclear. 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.
Key responsibilities:- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Previous experience driving large‑scale data product initiatives from ideation to launch.
- Experience in entertainment, online gaming, or sports betting industries.
Staff Data Product Manager - Analytics Platform New United Kingdom in London employer: Super
At Super, we are committed to fostering a dynamic and inclusive work environment where innovation thrives. As a Staff Data Product Manager for our Analytics Platform in the UK, you will not only play a pivotal role in shaping the future of sports and gaming technology but also benefit from a culture that prioritises employee growth, collaboration, and user-centric design. With access to cutting-edge tools like Snowflake and a focus on professional development, you'll have the opportunity to make a meaningful impact while enjoying a supportive atmosphere that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Data Product Manager - Analytics Platform New United Kingdom in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at companies you're eyeing. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Prepare for interviews by diving deep into the company’s products and culture. Show them you’re not just another candidate; you’re genuinely excited about their mission and how you can contribute to it.
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, drop a quick thank-you note. It shows your enthusiasm and keeps you fresh in their minds.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll be part of our community from the get-go!
We think you need these skills to ace Staff Data Product Manager - Analytics Platform New United Kingdom in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Staff Data Product Manager. Highlight your experience with data products and analytics platforms, and don’t forget to mention any relevant projects that showcase your ability to bridge the gap between technical and user needs.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re passionate about the Analytics Platform and how your vision aligns with our mission. Be specific about how your skills can help us transform user experiences and drive business value.
Showcase Your Technical Know-How:We want to see your familiarity with tools like Snowflake and your understanding of data warehousing concepts. Don’t just list them; explain how you’ve used these technologies in past roles to deliver measurable results.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Super
✨Know Your Data Inside Out
As a Staff Data Product Manager, you’ll need to demonstrate a solid understanding of analytics databases like Snowflake. Brush up on your knowledge of data modelling and ETL processes, and be ready to discuss how these can drive business value in your role.
✨Showcase Your User-Centric Approach
Make sure to highlight your experience in user research and advocacy. Be prepared to share examples of how you've identified customer pain points and transformed them into actionable product improvements that enhance usability and adoption.
✨Align with Company Vision
Familiarise yourself with the company's mission to pioneer the next era of play. Think about how your vision for the Analytics Platform aligns with their broader objectives and be ready to articulate this during the interview.
✨Prepare for Agile Discussions
Since the role involves managing the development cycle in an Agile environment, brush up on Agile methodologies. Be ready to discuss how you’ve previously prioritised initiatives and monitored progress in a fast-paced setting.
