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Tier-1 brand, metro locations, and broad generalist data requirements increase candidate competition.
Strong financial operational data and regulatory domain requirements make cross-industry transferability limited.
Explicit 10+ years, mandatory financial-domain expertise, and specific tech stack requirements create strict filters.
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Own and manage operational data for client & account, financial, or documents data domains supporting wealth management operations.
Design, build, and maintain scalable data pipelines and APIs ensuring data accuracy, timeliness, and completeness across systems.
Monitor operational data health through key metrics, enforce strong data quality controls, and collaborate with stakeholders to resolve data issues.
10+ years experience in technology roles within financial services focused on operational data management.
Bachelor's degree in Computer Science, Engineering, Information Systems, or related technical discipline.
Strong technical skills including SQL with relational databases, Python (or similar) for data pipeline development, and experience with event-driven architectures (Kafka, MQ).
Experience with data quality frameworks, RESTful API design, and document management systems relevant to one or more specified data domains.
Hands-on data professional with deep operational data management experience at scale in financial services, particularly with client lifecycle, financial transactions, or document data.
Meticulous and detail-oriented with a strong commitment to data integrity and operational rigor.
Proactive in identifying and permanently resolving data issues, capable of managing cross-team collaboration in a global environment.