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Mid-level, metro-based data product role with common skills and moderate brand attracts medium competition.
Core data-product skills are transferable, but regulatory and wealth-management experience increases domain specificity.
Explicit 5+ years requirement plus mandatory SQL and platform experience increases filter strictness.
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Support strategic data platforms by translating business needs into data-centric problem statements and defining data product outcomes.
Perform advanced data analysis to identify and resolve data quality, lineage, and semantic issues impacting downstream consumers.
Collaborate with engineering and product teams to define data contracts, quality controls, and support agile delivery with impact analysis and stakeholder communication.
5+ years in Product Analytics, Data Analysis, Data Product Ownership, or platform-oriented product roles.
Advanced hands-on SQL skills including querying, joins, and performance tuning.
Experience with data platforms, distributed data systems, or integration layers.
Experience working in Agile/Scrum environments with cross-functional product and engineering teams.
Experienced in operating across complex, distributed data ecosystems and translating ambiguity into actionable insights.
Strong understanding of data modeling, semantic consistency, data quality, lineage, and governance.
Background or familiarity with financial services, wealth management, or regulated data environments and experience supporting advisor data platforms or enterprise shared data services.