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Страна
США
Зарплата
100 000 $ – 140 000 $
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Data Product Manager, Curation

Оценка ИИ

Сильная позиция в публичной компании (NYSE: RSI) с прозрачной вилкой зарплаты и отличным соцпакетом. Роль предлагает высокую степень автономии и возможность влиять на стратегию работы с данными в быстрорастущей индустрии.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует глубоких знаний в моделировании данных (Kimball/Inmon) и продвинутого владения SQL, а также умения управлять ожиданиями стейкхолдеров в динамичной среде iGaming. Высокая планка ответственности за архитектуру данных для будущих ML-решений повышает сложность позиции.

Анализ зарплаты

Медиана125 000 $
Рынок110 000 $ – 155 000 $
Оценка ИИ

Предложенный диапазон $100k–$140k полностью соответствует рыночным стандартам для Data Product Manager в США, особенно для удаленного формата работы. Верхняя граница в $140k является конкурентной для специалистов среднего и старшего звена.

Сопроводительное письмо

I am writing to express my strong interest in the Data Product Manager – Curation position at Rush Street Interactive. With over five years of experience in data modeling and analytics infrastructure, I have a proven track record of transforming complex raw data into high-quality, business-aligned curated datasets. My expertise in dimensional modeling and advanced SQL aligns perfectly with your goal of strengthening RSI’s enterprise data maturity and supporting future ML initiatives.

Throughout my career, I have focused on bridging the gap between data engineering and business insights by establishing robust semantic layers and governance standards. I am particularly drawn to RSI's innovative approach to integrating online and social gaming experiences. I am confident that my technical proficiency and product-oriented mindset will allow me to effectively partner with your BI and engineering teams to drive self-service adoption and data consistency across the organization.

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Описание вакансии

Rush Street Interactive (NYSE: RSI) is a market leader in online casino and sports betting, currently operating real-money gaming with our brands: BetRivers.com, PlaySugarHouse.com, and RushBet.co. We’re building bridges between online, social and land-based gaming businesses to create amazing, integrated experiences that keep players in the game.

The Data Product Manager – Curation is responsible for designing and managing curated data products that power reporting, analytics, and emerging advanced analytics use cases across RSI like Machine Learning. This role focuses on building trusted, well-modeled, and well-documented data layers that translate raw source data into reusable, business-aligned datasets. 

The position partners closely with analytics and analyst teams as well as data and analytics engineering to improve data consistency, usability, and self-service adoption. While machine learning and advanced analytics are longer-term areas of evolution, this role lays the semantic and structural foundation required to support them in the future. This role is critical to closing the gap between ingestion and insight and strengthening RSI’s enterprise data maturity. 

What You'll Do:

  • Design and manage curated data products composed of fact and dimension tables optimized for reporting, analytics, and downstream analytical use cases.
  • Develop and maintain semantic and subject-area data models that support analytics self-service and consistent business definitions.
  • Partner with analytics and BI teams to understand reporting needs and translate them into scalable, reusable curated datasets.
  • Lead schema design, join logic, and standardization efforts to improve trust, consistency, and cross-domain usability of data.
  • Collaborate with data engineering teams on data transformations, modeling standards, and performance optimization.
  • Support future advanced analytics and ML use cases by ensuring curated datasets are well-structured, well-documented, and extensible.
  • Establish governance standards for curated datasets, including documentation, lineage, naming conventions, and data quality monitoring.
  • Track adoption and usage of curated data products, incorporating stakeholder feedback to iteratively improve models and definitions.

What You'll Bring:

  • Bachelor’s degree in Information Systems, Data Science, Computer Science, or a related field, preferred, or equivalent experience.
  • 5+ years in data product, analytics infrastructure, or data modeling roles.
  • Stakeholder Management: 5+ years partnering with BI, analytics, and business stakeholders to gather requirements and deliver trusted data products.
  • Analytics & Product Thinking: Strong understanding of how curated data enables reporting, self-service analytics, and consistent decision-making.
  • Data Modeling: 3–5 years designing dimensional models, schemas, and semantic layers for analytics or reporting use cases.
  • ML Awareness (Foundational): General familiarity with how curated data may support future ML or advanced analytics use cases (e.g., feature readiness, aggregation strategies), without expectation of hands-on model development.
  • Technical Proficiency: Advanced SQL skills and hands-on experience working with data marts, transformations, and analytical datasets.
  • Documentation & Governance: Experience maintaining semantic definitions, data catalogs, and quality standards to ensure data is discoverable, explainable, and trustworthy.
  • Able to travel occasionally both domestically and internationally.

This role spans a wide breadth of experience at Rush Street Interactive, welcoming candidates with diverse experiences, backgrounds, and locations. The pay range reflects potential variations in experience, skills, and location. The pay range does not reflect total compensation, which includes base pay, benefits, and/or bonuses. For candidates outside the US (Canada, Europe, Latin America), we take a locally informed approach to compensation and will share specific ranges based on your country of residence.

Location Eligibility (for nationwide roles): Open to candidates across the U.S.

Location Eligibility (for other roles): Location requirements may vary and will be specified in the job posting.

*Benefits:*

  • Discretionary annual company bonus (Eligibility Varies by Role)
  • 401(k) plan with 100% company match on the first 4%
  • Comprehensive medical coverage (HSA & FSA plans), dental, and vision insurance
  • Paid Time Off (Eligibility Varies by Role)
  • Employee Assistance Program (EAP)

Pay Range

$100,000—$140,000 USD

What Makes Us Great:

  • Comprehensive compensation
  • Work-life balance initiatives
  • Autonomy – we embrace personal freedom and responsibility
  • Creativity – we are open to new ideas of how we can be better
  • Growth – we want you to develop personally as well as professionally
  • Top-notch professionals who are passionate about what they do
  • People-oriented environment and supportive atmosphere

As a rapidly growing company in an emerging industry, you’ll have a huge impact on our product and our company. We like proactive team members and strive to have a company of self-disciplined professionals who enjoy collaboration, having fun, and of course, achieving together what others believe to be improbable. We are dedicated to treating everyone with respect and to support your professional and personal growth.

Rush Street Interactive is an equal opportunity employer and committed to a diverse and inclusive workplace. All qualified applicants will be considered for employment without regard to race, national origin, ancestry, sex, sexual orientation, sexual identity and expression, marital status, family status, lifestyle, age, culture, religion, military and veteran status, citizenship, or disability.

Be at the forefront of this ground-breaking industry! Apply now!

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Навыки

  • SQL
  • Data Modeling
  • Dimensional Modeling
  • Data Governance
  • Product Management
  • Business Intelligence
  • Data Engineering
  • Machine Learning
  • Data Catalog
  • Schema Design

Возможные вопросы на собеседовании

Проверка опыта проектирования архитектуры данных для аналитики.

Опишите ваш подход к проектированию витрин данных (data marts) для кросс-доменного использования. Как вы балансируете между нормализацией и производительностью?

Оценка навыков управления продуктом в контексте данных.

Как вы определяете приоритетность задач при создании новых наборов данных, если запросы от команд маркетинга и финансов конфликтуют?

Проверка понимания качества и управления данными.

Какие метрики качества данных (Data Quality) вы считаете наиболее критичными для курируемых слоев данных и как вы их отслеживаете?

Оценка способности работать на стыке инженерии и бизнеса.

Расскажите о случае, когда вам пришлось внедрять семантический слой или каталог данных. С какими трудностями внедрения (adoption) вы столкнулись?

Проверка готовности данных для ML.

Какие требования вы предъявляете к структуре данных сегодня, чтобы они были пригодны для обучения моделей машинного обучения в будущем?

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Страна
США
Зарплата
100 000 $ – 140 000 $