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Senior Data Product Manager - Analytics Platform

Оценка ИИ

Отличная позиция в крупной международной компании с серьезными инвестициями (Blackstone). Четко сформулированные задачи, работа с современным стеком (Snowflake) и возможность влиять на глобальную стратегию данных.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует глубокого понимания технических аспектов (Snowflake, ETL, DWH) и одновременно сильных навыков управления продуктом для работы с пользовательским опытом. Высокий уровень ответственности за стратегию платформы в глобальной компании.

Анализ зарплаты

Медиана80 000 €
Рынок70 000 € – 95 000 €
Оценка ИИ

Предлагаемая роль Senior Data PM в Испании обычно оплачивается в диапазоне 70-90 тысяч евро в год. Учитывая масштаб Superbet и недавнее рефинансирование, можно ожидать зарплату на уровне верхней границы рынка или выше, включая бонусы.

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 adoption. My background includes extensive work with Snowflake and modern data stacks, where I have successfully transformed reactive data services into strategic assets that drive business value.

What excites me most about this role is the challenge of addressing the 'Perception vs. Reality' gap. I am passionate about user-centric data design and have previously led initiatives that improved data usability by implementing clear quality guardrails and intuitive data modeling. Having worked in high-growth environments, I understand the importance of integrating data platform needs directly into the product development lifecycle. I am eager to bring my expertise in roadmap prioritization and stakeholder management to Superbet to help scale your AI and analytics capabilities across global markets.

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Откликнитесь в superbet уже сейчас

Присоединяйтесь к Superbet и превратите сложную аналитическую платформу в интуитивно понятный инструмент для миллионов пользователей!

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
  • User Research
  • Data Warehousing
  • Data Science
  • Redshift

Возможные вопросы на собеседовании

Проверка умения решать основную проблему, описанную в вакансии: разрыв между технической стабильностью и удобством для пользователей.

Как бы вы подошли к измерению и сокращению разрыва между 'техническим аптаймом' платформы и 'восприятием данных пользователями'?

Оценка технической экспертизы в области современных облачных хранилищ данных.

Опишите ваш опыт работы со Snowflake. Какие специфические функции этой платформы вы использовали для масштабирования аналитики или внедрения AI?

Проверка навыков приоритизации в сложной среде с множеством стейкхолдеров.

Как вы балансируете в дорожной карте задачи по обеспечению операционной стабильности (tech debt) и внедрение новых стратегических функций?

Оценка способности внедрять культуру работы с данными в продуктовые команды.

Как вы планируете интегрировать аналитическую платформу в жизненный цикл разработки других продуктовых команд, чтобы она не была 'второстепенной задачей'?

Проверка опыта работы с качеством данных и контрактами данных.

Расскажите о вашем опыте внедрения контрактов данных (data contracts) между производителями и потребителями данных. С какими трудностями вы сталкивались?

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