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Data Product Manager – Curation

Product ManagerProduct ManagerFull TimeRemoteTeam 501-1,000Since 2012H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

25 days ago

Salary

$100K - $140K / year

Bachelor Degree5 yrs expExperience acceptedEnglishSQL

Job Description

• 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.

Job Requirements

  • 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.
  • 5+ years partnering with BI, analytics, and business stakeholders to gather requirements and deliver trusted data products.
  • Strong understanding of how curated data enables reporting, self-service analytics, and consistent decision-making.
  • 3–5 years designing dimensional models, schemas, and semantic layers for analytics or reporting use cases.
  • 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.
  • Advanced SQL skills and hands-on experience working with data marts, transformations, and analytical datasets.
  • 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.

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)

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