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Metro location and data role popularity balanced by seniority and niche enterprise data modeling skills.
High—requires financial services/regulatory domain expertise and enterprise data modeling experience, limiting cross‑industry transferability.
Explicit 10+ years, required hands‑on modeling tools, and regulated finance experience make filters highly stringent.
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Lead design, review, and optimization of enterprise logical and physical data models aligned with business and regulatory requirements.
Develop domain expertise in client, account, asset, transaction, and advisor data to support data quality and business decision-making.
Collaborate cross-functionally to deliver scalable, secure, and compliant party data solutions, provide mentorship, and participate in agile delivery processes.
Bachelor’s degree in a related field; advanced degree preferred.
10+ years of experience in data analysis, data modeling, data architecture, or data governance roles.
8+ years hands-on with enterprise data modeling tools, SQL, and relational databases; experience with logical, physical, dimensional modeling.
Experience in financial services, fintech, wealth management, or highly regulated industries.
Experienced technical leader with deep expertise in enterprise data modeling and cloud-native data platforms.
Demonstrates ability to translate complex data concepts into business value and support regulatory compliance.
Familiar with Agile delivery methodologies and capable of mentoring junior data professionals.