Lead Data & Risk Architecture Strategist

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