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Mid-level, metro data product role with broad, non-niche requirements increases candidate competition.
Data product ownership skills are transferable but preference for regulated financial services raises fit sensitivity.
Explicit 5+ years requirement, mandatory advanced SQL and platform experience create strict screening filters.
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Own and support data product management for strategic data platforms, focusing on defining data contracts, validating quality, and assessing downstream impact.
Perform advanced data analysis to investigate quality issues, conduct impact analysis for data changes, and recommend solutions for systemic data flow problems.
Collaborate with cross-functional teams to translate complex data ecosystems into actionable insights, support Agile delivery, and enable evidence-based prioritization decisions.
Minimum 5 years experience in Product Analytics, Data Analysis, Data Product Ownership, or platform-oriented product roles.
Strong hands-on experience with SQL including advanced querying and performance considerations.
Experience with data platforms, distributed data systems, or integration layers, and working in Agile/Scrum environments.
Knowledge of data modeling, semantic consistency, data quality, lineage, governance, and event-driven architectures.
Senior individual contributor comfortable operating at the intersection of product management and advanced data analysis in complex data-centric platforms.
Experience working across upstream data sources, platform services, and downstream consumers with a focus on data as a product.
Ability to translate complex data flows into clear, decision-ready narratives and support scalable, reusable data distribution patterns.