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Tier-1 brand, metro location, mid-level generalist role, and broad skillset increase applicant competition.
Requires financial-services regulatory and data-governance expertise, making industry experience highly valuable.
Mandatory 5+ years, domain data governance, and specific technologies (Java, OpenAPI, Kafka) tighten filters.
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Lead development and delivery of product data to support strategic objectives, operations, analytics, and reporting.
Identify and mitigate data risks across the data lifecycle ensuring compliance with firmwide policies and standards.
Drive adoption of AI-assisted engineering practices for improving code quality, delivery speed, and operational outcomes.
5+ years of applied experience with formal training or certification in software engineering concepts.
Experience in data technology including data governance and data management.
Proven experience with AI-assisted software development tools in coding, review, and testing.
Strong understanding of API lifecycle/documentation (OpenAPI/Swagger, REST, GraphQL) and event-driven/messaging platforms (e.g., Apache Kafka).
Experienced in integrating data governance and analytics requirements within software product teams in financial services.
Skilled in managing cross-functional collaboration among product owners, tech leads, data analytics, risk, and controls.
Capable of leading teams in responsible AI use ensuring secure and compliant engineering workflows.