Senior Data Product Manager - Experimentation
Superbet
Senior Data Product Manager - Experimentation
Senior Data Product Manager - Experimentation needed to own the vision, strategy, and roadmap of the internal experimentation platform at SuperBet. Requires 6–8+ years of product management experience with a focus on data products, analytics, or experimentation platforms. Responsibilities include product strategy, cross-functional collaboration, execution, and evangelizing a hypothesis-driven culture.
Senior Data Product Manager - Experimentation
Senior Data Product Manager - Experimentation needed to own the vision, strategy, and roadmap of the internal experimentation platform at SuperBet. Requires 6–8+ years of product management experience with a focus on data products, analytics, or experimentation platforms. Responsibilities include product strategy, cross-functional collaboration, execution, and evangelizing a hypothesis-driven culture.
Salary
Core Qualifications
Technical (Must-have)
Soft Skills
Tools (Must-have)
Preferred Qualifications
Technical (Nice-to-have)
Key Responsibilities
- Develop a clear, long-term product vision for the Experimentation Platform
- Stay attuned to industry best practices, academic research, and emerging technologies
- Translate business goals and user requirements into well-defined problem statements
- Advocate for the importance of hypothesis-driven development
- Build and maintain a prioritized product roadmap for experimentation
- Collaborate with cross-functional stakeholders to gather feedback and drive alignment
- Partner closely with the Senior Engineering Manager to transform product objectives into a technical platform
- Collaborate with Data Scientists and Analysts to define statistical engines and KPI frameworks
- Work with Marketing and Product teams to ensure the platform meets diverse needs
- Clearly communicate product requirements, user stories, and acceptance criteria to engineering teams
- Manage the development cycle in an Agile environment
- Ensure each initiative launches with defined Problem, Business Impact, and Success Measurement
- Define robust product success metrics and implement tracking mechanisms
- Analyze usage data and experiment results to validate assumptions and inform enhancements
- Champion experimentation quality measurements
- Work with user communities to collect feedback and iterate on platform improvements
- Serve as the in-house expert on experimentation methodologies
- Lead initiatives like an Experimentation Embassy, workshops, and knowledge-sharing sessions
- Own the narrative around experimentation—communicating platform updates and success stories
- Continuously evangelize the power of a hypothesis-driven, data-informed approach