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Product Manager - Data Platform

Own roadmap and backlog for data platform portfolio, prioritizing datasets and platform capabilities. Partner with engineering and analytics teams to deliver trusted, well-modeled data with strong governance and cataloging practices.

116k – 129kUnited StatesProduct ManagementRemote3+ YOE

About the role

Key Duties and Responsibilities

  • Own the roadmap and backlog for your portfolio, prioritizing datasets and platform capabilities against customer value and business impact
  • Serve both customers and internal data stakeholders, translating domain needs into clear data definitions, schemas, and requirements
  • Run continuous discovery with domain experts and engineering teams to deeply understand data sources, transformations, and usage across the platform
  • Partner with data platform engineers to guide datasets through transformation stages, ensuring quality progression into trusted, consumable data layers
  • Work cross-functionally with engineering, analytics, and product teams to enable consistent and scalable data usage across the platform
  • Assess product investment opportunities and incoming requests with structured rigor, bringing clear recommendations on dataset prioritization and platform improvements
  • Define and monitor data health, adoption, and usability metrics, using insights to inform roadmap decisions
  • Enable and support data catalog creation and ongoing maintenance, ensuring datasets are well-documented and understood across teams
  • Influence and align multiple product teams without formal authority to drive cross-platform data consistency and adoption
  • Support ongoing data operations, including dataset health, usage questions, and continuous improvements

Your Key Strengths

  • Bachelor's degree in Healthcare, Engineering, Business Administration, or related field
  • 3+ years of product management experience, including B2B experience with enterprise customers
  • Experience managing software or platform products through the full development lifecycle
  • Experience working with data platforms, data pipelines, or analytics products
  • Strong understanding of data concepts such as data modeling, schema design, and data transformation
  • Familiarity with Azure (Data Lake), Databricks, or comparable cloud data platforms
  • Working knowledge of SQL and/or Python (preferred)
  • Experience with data cataloging, governance, and cross-domain data definition
  • Ability to influence and drive alignment across engineering, data, and product stakeholders without formal authority
  • Strong communication and stakeholder management skills with both technical and business audiences
  • Experience working with complex, cross-platform data ecosystems and multiple stakeholders
  • A bias toward execution and outcomes, with strong prioritization and decision-making skills

Compensation & Benefits

  • US base salary range: $115,900 - $128,800 + bonus + benefits
  • Benefits starting from Day 1
  • Retirement Plan Matching
  • Flexible Paid Time Off
  • Wellness Support Programs and Resources
  • Parental & Caregiver Leaves
  • Fertility & Adoption Support
  • Continuous Development Support Program
  • Employee Assistance Program
  • Allyship and Inclusion Communities
  • Employee Recognition

Skills

Product ManagementData PlatformsData ModelingSchema DesignData TransformationAzure Data LakeDatabricksSQLPythonData CatalogingData Governance

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