Senior Data Product Manager - Experimentation in London
Senior Data Product Manager - Experimentation

Senior Data Product Manager - Experimentation in London

London Full-Time 70000 - 90000 ÂŁ / year (est.) Home office (partial)
Super

At a Glance

  • Tasks: Lead the vision and strategy for our experimentation platform, driving data-driven decision-making.
  • Company: Join Super, a global tech group revolutionising entertainment and fan experiences.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Be part of a diverse team dedicated to creating immersive experiences worldwide.
  • Why this job: Shape the future of play and impact millions with innovative experimentation tools.
  • Qualifications: 6-8 years in product management, with expertise in A/B testing and data products.

The predicted salary is between 70000 - 90000 ÂŁ 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 Senior Data Product Manager – Experimentation, you will own the vision, strategy, and roadmap of our internal experimentation platform. Your primary focus will be defining “what” we build and “why” — ensuring our teams have robust, intuitive tools for A/B testing, audience segmentation, feature flag management, and data-driven decision-making. Through close collaboration with Engineering, Data Science, Marketing, and Product teams, you will champion a hypothesis-driven culture, transforming how we learn, iterate, and innovate at scale. Your work will empower every team at SuperBet to rapidly experiment, reduce time-to-insight, and drive measurable business impact.

Key responsibilities

  • Product strategy & vision
    • Develop a clear, long-term product vision for the Experimentation Platform, aligning with the broader data-driven objectives.
    • Stay attuned to industry best practices, academic research, and emerging technologies to keep our platform at the cutting edge.
  • Defining the “What” and “Why”
    • Translate business goals and user requirements into well-defined problem statements, expected business impact, and success metrics.
    • Advocate for the importance of hypothesis-driven development, evangelizing experimentation methodologies across the organization.
  • Roadmap & stakeholder management
    • Build and maintain a prioritized product roadmap for experimentation, balancing quick wins with strategic, long-term initiatives.
    • Collaborate with cross-functional stakeholders (Product, Marketing, Data Science, Engineering) to gather feedback, refine requirements, and drive alignment.
  • Cross-functional collaboration
    • Partner closely with the Senior Engineering Manager to transform high-level product objectives into a scalable, reliable, and efficient technical platform.
    • Collaborate with Data Scientists and Analysts to define statistical engines, experiment design templates, and consistent KPI frameworks.
    • Work with Marketing and Product teams to ensure the experimentation platform meets diverse needs—ranging from audience segmentation to feature flagging and surveys.
  • Execution & delivery
    • Clearly communicate product requirements, user stories, and acceptance criteria to engineering teams.
    • Manage the development cycle in an Agile environment, providing clarity on priorities and monitoring progress.
    • Ensure each initiative launches with a defined Problem to Solve, Business Impact, and Success Measurement, tracking progress to inform continuous improvement.
  • Performance & impact tracking
    • Define robust product success metrics (adoption rates, number of experiments run, time-to-insight, etc.) and implement tracking mechanisms.
    • Analyze usage data and experiment results to validate assumptions, identify gaps, and inform product enhancements.
    • Champion experimentation quality measurements—ensuring teams follow best practice and extract meaningful insights.
    • Work with user communities to collect feedback, refine feature requirements, and iterate on platform improvements.
  • Domain expertise & thought leadership
    • Serve as the in‑house expert on experimentation methodologies, statistical significance, confidence intervals, and advanced testing frameworks.
    • Lead initiatives like an Experimentation Embassy, workshops, and knowledge‑sharing sessions to promote best practices across the company.
  • Communication & evangelism
    • Own the narrative around experimentation—communicating platform updates, success stories, and impact to both technical and non‑technical audiences.
    • Continuously evangelize the power of a hypothesis‑driven, data‑informed approach within the organisation, aligning executives and teams on key objectives.

Qualifications

  • Education & experience
    • Bachelor’s or Master’s degree in Business, Computer Science, Data Science, Statistics, or a related field (or equivalent practical experience).
    • 6–8+ years of product management experience, ideally with a focus on data products, analytics, or experimentation platforms.
  • Technical & domain expertise
    • Strong familiarity with A/B testing, multivariate testing, feature flag management, and audience segmentation.
    • Understanding of statistical methods (confidence intervals, p-values, hypothesis testing) and ability to collaborate with data scientists on experiment designs.
    • Exposure to data infrastructure, ETL pipelines, BI tools, and relevant technologies.
  • Product management skills
    • Proven track record in leading cross‑functional teams (Engineering, Data Science, UX) using Agile methodologies.
    • Ability to convert complex data or statistical concepts into clear business value and actionable product requirements.
    • Skilled in developing roadmaps, facilitating stakeholder alignment, and prioritising high‑impact features.
  • Strong differentiators
    • Hands‑on experience building experimentation platforms, customer segmentation systems, or ML evaluation frameworks.
    • Previous work in entertainment, online gaming, or sports betting industries, especially around experimentation and user experience improvements.
    • Previous experience driving large‑scale data product initiatives, from ideation to launch.

About Super

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.

Shaping the Future of Play

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.

Senior Data Product Manager - Experimentation in London employer: Super

Super is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration across diverse teams. With a commitment to employee growth, we provide ample opportunities for professional development and the chance to shape the future of entertainment technology. Located in a vibrant international environment, our team enjoys the unique advantage of working on cutting-edge projects that impact millions of customers worldwide.
Super

Contact Detail:

Super Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Product Manager - Experimentation in London

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend events, and connect with potential colleagues 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

Prepare for interviews by practising common questions and scenarios related to data product management. Think about how you would approach A/B testing or audience segmentation, and be ready to share your insights and experiences.

✨Tip Number 3

Showcase your passion for experimentation! During interviews, talk about your previous projects and how you’ve used data-driven decision-making to achieve results. This will demonstrate your alignment with our mission at Super.

✨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 Senior Data Product Manager - Experimentation in London

Product Management
A/B Testing
Multivariate Testing
Feature Flag Management
Audience Segmentation
Statistical Methods
Hypothesis Testing
Data Analysis
Agile Methodologies
Cross-Functional Collaboration
Roadmap Development
Stakeholder Management
Communication Skills
Experimentation Methodologies
Business Impact Measurement

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter to reflect the specific skills and experiences that align with the Senior Data Product Manager role. Highlight your expertise in A/B testing and data-driven decision-making, as these are key aspects of the job.

Showcase Your Impact: When detailing your previous roles, focus on the measurable impact you've had. Use metrics to demonstrate how your work has driven business results, especially in experimentation and product management.

Be Clear and Concise: Keep your application straightforward and to the point. Use clear language to communicate your ideas and experiences, making it easy for us to see how you fit into our mission of pioneering the next era of play.

Apply Through Our Website: We encourage you to submit your application through our careers page. This ensures that your application is reviewed promptly and gives you a chance to explore more about our culture and values at Super.

How to prepare for a job interview at Super

✨Know Your Experimentation Inside Out

Make sure you’re well-versed in A/B testing, multivariate testing, and feature flag management. Brush up on statistical methods like confidence intervals and p-values, as these will likely come up in discussions. Being able to speak confidently about these topics will show that you’re the right fit for the Senior Data Product Manager role.

✨Align with Company Vision

Familiarise yourself with Super's mission and values. Understand how your role as a Senior Data Product Manager fits into their broader objectives. Be ready to discuss how you can contribute to their goal of creating the next generation of sports and gaming experiences through data-driven decision-making.

✨Prepare for Cross-Functional Collaboration

Since this role involves working closely with Engineering, Data Science, and Marketing teams, think of examples from your past experience where you successfully collaborated across departments. Highlight your ability to gather feedback and drive alignment, as this will be crucial for managing the product roadmap effectively.

✨Showcase Your Problem-Solving Skills

Be prepared to discuss how you define problems and measure success. Bring examples of how you've previously translated business goals into actionable product requirements. This will demonstrate your capability to own the vision and strategy for the experimentation platform, which is key for this position.

Senior Data Product Manager - Experimentation in London
Super
Location: London

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