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Senior Data Product Manager - Analytics Platform
Отличная вакансия в стабильной, но быстрорастущей компании с серьезными инвестициями (Blackstone). Роль предполагает высокий уровень ответственности, работу с современным стеком (Snowflake) и возможность влиять на глобальную стратегию данных.
Сложность вакансии
Высокая сложность обусловлена требованиями к глубокому техническому бэкграунду (Snowflake, ETL) и необходимостью стратегического управления продуктом в крупной международной компании. От кандидата ожидается опыт более 6-8 лет и умение работать на стыке бизнеса и сложных инженерных решений.
Анализ зарплаты
Предлагаемая роль Senior Data Product Manager в Нидерландах соответствует высокому уровню рыночных зарплат для тех-сектора. Указанный диапазон отражает текущие реалии для специалистов с опытом 7+ лет в международных компаниях в Амстердаме.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Data Product Manager position for the Analytics Platform at Superbet. With over 7 years of experience in product management and a deep focus on data infrastructure, I have a proven track record of bridging the gap between technical platform capabilities and end-user value. My background in optimizing Snowflake-based ecosystems and implementing robust data contracts aligns perfectly with your mission to move from a reactive service to a strategic partner.
In my previous roles, I have successfully led cross-functional teams to deliver scalable data products that prioritize usability and clear success metrics. I am particularly drawn to Superbet's ambitious growth and the challenge of evolving the Analytics Platform to support AI capabilities at scale. I am confident that my technical expertise in DWH concepts and my user-centric approach to product strategy will allow me to make a significant impact on your data-driven objectives.
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Откликнитесь в superbet уже сейчас
Присоединяйтесь к Superbet, чтобы трансформировать аналитическую платформу и определять будущее данных в глобальной технологической компании!
Описание вакансии
It’s an exciting time to join us! We’re entering new markets, developing new technologies, and moving step by step towards our goal of exciting the world. As our business grows, the number of exciting people initiatives grows with it, and we’re looking for a new colleague to partner with our team to bring these to life.
Overview
As a Senior 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.
Qualifications
1. 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.
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.
About us
We are a global technology company dedicated to building the future of entertainment and fan-centric experiences.
With commercial markets in Brazil, Belgium, Poland, Romania, and Serbia, our company has evolved from a leading sports betting and gaming operator into a diversified product and tech organization, gathering more than 5,000 dedicated people across our teams.
Shaping the future of play
At Super, we are creating a unique entertainment ecosystem engaging millions of customers worldwide. Our product and technology teams in Amsterdam (the Netherlands), Madrid (Spain), Zagreb (Croatia), London (UK), and Bucharest (Romania) are building the playstack that will champion the future of play.
Our ambitious growth strategy focuses on expanding across Europe and Latin America while delivering immersive customer experiences and creating lasting value for our customers, partners, and communities.
Global recognition and standards
The company’s long-term strategy is supported by world-class investors. In 2019, Blackstone, the world’s largest alternative asset manager, made a strategic minority investment of €175 million. In 2025, we strengthened our financial position through a €1.3 billion refinancing agreement, reinforcing our partnership with Blackstone and enabling accelerated global expansion.
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).
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Навыки
- Agile
- Product Strategy
- BigQuery
- Snowflake
- Business Intelligence
- ETL
- Data Modeling
- Data Warehousing
- Data Science
- Redshift
Возможные вопросы на собеседовании
Проверка понимания специфики платформенных продуктов и умения работать с техническим долгом/стабильностью.
В описании вакансии упоминается разрыв между технической стабильностью (uptime) и восприятием пользователей. Какие конкретные метрики вы бы внедрили для измерения 'юзабилити' аналитической платформы?
Оценка технической экспертизы в области современных облачных хранилищ.
Как бы вы подошли к интеграции AI-возможностей Snowflake в текущую дорожную карту платформы для создания бизнес-ценности?
Проверка навыков управления стейкхолдерами и приоритизации.
Опишите ситуацию, когда вам нужно было сбалансировать требования команды Data Science и ограничения инженеров платформы. Как вы принимали решение?
Оценка опыта работы с качеством данных.
Каков ваш опыт внедрения 'data contracts' (контрактов данных) между производителями и потребителями данных для обеспечения качества на платформе?
Проверка продуктового мышления в контексте платформы.
Как вы определяете 'успех' для продукта, который является внутренним сервисом, а не внешним клиентским приложением?
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