Data Products & Solutions Manager
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Data Products & Solutions Manager: Leading the development and delivery of internal and consumer-facing data solutions with an accent on platform capabilities, data governance, and stakeholder alignment. Focus on building scalable, self-service data products and managing a team of engineers to ensure reliable, well-modeled data delivery.
Location: Must be based in New York, NY
Salary: $120,000 - $170,000 yearly
Company
is a leading media and entertainment company operating iconic brands across news, sports, and entertainment sectors.
What you will do
- Lead the development of data products, datasets, and foundational dashboards for internal and downstream consumers.
- Partner with Platform Development and Data Governance teams to ensure reliable, well-modeled, and observable data.
- Manage intake and prioritization for data solutions, balancing immediate business needs with long-term scalability.
- Enable self-service analytics by establishing reusable datasets, models, and access patterns.
- Manage and mentor a small team of data and analytics engineers.
- Ensure all solutions align with platform standards for governance, reliability, and performance.
Requirements
- 5+ years of experience building data products, datasets, or analytics solutions in an enterprise environment.
- Strong proficiency in SQL and experience using Python for data transformation and modeling.
- Familiarity with modern data platform tooling, including Node.js/TypeScript services and Databricks.
- Solid understanding of data modeling, transformation patterns, and BI tools like Tableau or Power BI.
- Proven experience managing or mentoring engineering teams.
- Must be able to attend an in-person interview in New York, NY.
Nice to have
- Experience enabling self-service analytics at scale.
- Familiarity with data contracts, governance, and lineage concepts.
- Experience in media, streaming, or large-scale enterprise environments.
- Exposure to modern data architectures like lakehouse or ELT pipelines.
Culture & Benefits
- Comprehensive health insurance and retirement plans.
- Paid time off and balanced work-life environment.
- Opportunity to work in a fast-moving, high-ownership media environment.
- Commitment to fair and equitable compensation practices.
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