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Mid-level Product Manager title and common data skills create moderate applicant competition despite mid-tier employer.
Data platform product skills transfer across industries, but preferred domain experience raises fit sensitivity.
Requires 5+ years product management and specific data platform experience, making filters moderately strict.
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Define and own the strategy, roadmap, and delivery of enterprise data platform and analytics products.
Manage end-to-end product lifecycle including requirements, development, and optimization of scalable, reusable data products.
Collaborate cross-functionally with engineering, analytics, data governance, and business teams to ensure data quality, compliance, and impactful business insights.
Bachelor's degree in Computer Science, Engineering, IS, Data Science, Business, or related field.
5+ years of Product Management experience, specifically with enterprise data platforms, data warehouses or BI solutions.
Strong understanding of data architecture, ETL/ELT, APIs, analytics ecosystems, and Agile delivery experience.
Work Experience Required: 5+ years Product Management ; Notice Period: Not explicitly mentioned in the JD.
Strategic product manager capable of partnering effectively with Engineering, Analytics, Data Governance, PMO, and other product teams to drive business value.
Experienced in building scalable, governed, and operationally excellent data products supporting multiple business domains.
Comfortable driving collaboration and stakeholder management to influence cross-functional teams without direct authority.