What are the responsibilities and job description for the Lead Data & Risk Architecture Strategist position at wellsfargo?
Description
Title:Lead Data & Risk Architecture Strategist
Location: Charlotte, NC
Duration: 18 months
Work Engagement: W2
Work Schedule: Onsite
Benefits on offer for this contract position: Health Insurance, Life insurance, 401K and Voluntary Benefits
Summary:
In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Systems Architecture Review and analyze complex multi-faceted, larger scale or longer-term Systems Architect challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables Strategically collaborate and consult with Client personnel Required Qualifications: Systems Architecture experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education
Key Requirements:
· Applicants must be authorized to work for ANY employer in the U.S. This position is not eligible for visa sponsorship.
Technology Architecture within large banks with strong experience in Risk Management solutions (Credit, Market, Operational Risk, GRC platforms)
Proven expertise in data center migration architectures, including:
Legacy → modern platform migrations (on-prem / hybrid)
Environment isolation, minimal data movement, and regulatory-aligned patterns
Deep expertise in Data & Information Architecture, including:
Data modeling (logical, physical, canonical) and domain-driven data design
Semantic modeling and business-aligned data abstraction layers
Graph-based architectures and multi-dimensional ontologies to represent complex relationships (e.g., entities, hierarchies, controls, risk linkages)
Strong understanding of data lineage, metadata, traceability, and auditability
Design of authoritative data sources, reconciliation frameworks, and governed data pipelines
Hands-on experience with modern data platforms and integration patterns: APIs, event-based, batch/file ingestion