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- Tasks: Lead the vision for our Analytics Platform and enhance user experience with data.
- Company: Join a global tech group revolutionising entertainment and fan experiences.
- Benefits: Competitive salary, diverse team, and opportunities for professional growth.
- Other info: Dynamic, inclusive culture focused on innovation and collaboration.
- Why this job: Shape the future of play and impact millions of users worldwide.
- Qualifications: 6-8 years in product management with strong data product 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 (with minimal incidents in 2025), 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- 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.
- Education & experience: 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.
- 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.
- Strong differentiators: Previous experience driving large-scale data product initiatives from ideation to launch. Experience in entertainment, online gaming, or sports betting industries.
We are a global technology group, dedicated to building the future of entertainment and fan-centric experiences. With commercial markets in Brazil, Belgium, Poland, Romania, Greece and Serbia, and a network of offices across Spain, Croatia, Malta, Gibraltar, the Netherlands and the UK, we are a truly international organization. Our purpose at Super has evolved from sports and betting into creating the platform that stretches into the wider world of technology-driven entertainment. With a growing and diverse team of more than 5,000 people, we create immersive, responsible, and personalised experiences for millions of customers worldwide.
Everything we do at Super is rooted in doing what is right: for customers, for each other, and for our long-term vision. Our Culture Manifesto is our North Star. It captures our purpose, mission, and the six core beliefs that shape how we think, make decisions, and act every day. Super is committed to the highest standards of compliance, safety, and responsibility. As such, we are active members of the International Betting Integrity Association (IBIA) and the European Gaming & Betting Association (EGBA). At Super, we operate as a high-performing team. We hire and grow talent based on ability and potential, regardless of background and identity because we know diverse perspectives drive better performance.
Staff Data Product Manager - Analytics Platform employer: Super Technologies
Contact Detail:
Super Technologies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Product Manager - Analytics Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend events, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your expertise in data product management. This will not only demonstrate your capabilities but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for interviews by researching the company and its products. Understand their mission and how your role as a Staff Data Product Manager fits into their vision. Tailor your answers to show how you can bridge the 'Perception vs. Reality' gap they mentioned.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Super.
We think you need these skills to ace Staff Data Product Manager - Analytics Platform
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for the role and our mission shine through. We want to see how excited you are about shaping the future of play and making a real impact in the gaming and sports industry!
Tailor Your Experience: Make sure to highlight your relevant experience in product management, especially with data products or analytics platforms. We love seeing how your background aligns with our needs, so don’t hold back on those specific achievements!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so use simple language to explain your skills and experiences. Remember, we’re looking for someone who can bridge the gap between technical and business teams!
Apply Through Our Website: We encourage you to submit your application directly through our careers page. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Super Technologies
✨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 ETL pipelines and data warehousing concepts, and be ready to discuss how you've used these tools in past projects.
✨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 technical data into intuitive solutions that enhance user experience.
✨Articulate Your Vision
You’ll need to own the product strategy and vision for the Analytics Platform. Practice articulating your long-term vision and how it aligns with broader data-driven objectives. Think about how you can bridge the gap between perception and reality in data usability.
✨Demonstrate Agile Management Skills
Since you'll be managing the development cycle in an Agile environment, come equipped with examples of how you've translated business goals into actionable user stories and acceptance criteria. Show that you can balance operational excellence with strategic initiatives.