Top Data & Analytics Jobs in Charlotte, NC

Lead design and delivery of enterprise-scale, hybrid data architectures; advise senior leadership; modernize legacy systems; define patterns for application, analytics, workflow, and AI workloads; mentor teams; balance scalability, security, TCO, and ROI while enabling migration to target architectures.

Lead definition and execution of card systems and data architecture strategy. Design target-state architectures (lakehouse, streaming, data mesh, knowledge graphs), drive integrations and APIs, ensure compliance and resiliency, and collaborate with product, engineering, and infrastructure to deliver scalable data platforms supporting analytics, reporting, and AI capabilities.

Leads enterprise architecture and strategy for metadata management, data lineage, governance, observability, and AI-enabled data platforms. Defines scalable ingestion, scanning, cataloging, and lineage solutions; expands metadata coverage; supports regulatory and operational requirements; and advances AI-assisted discovery and governance. Provides technical leadership across agile teams, mentors engineers, influences senior leaders, and drives modernization, platform transformation, and cross-domain architectural decisions across a regulated financial services environment.

Leads home lending portfolio risk analytics, monitoring performance, identifying emerging risks, evaluating credit policies and business initiatives, and developing executive dashboards and governance reporting. Performs deep-dive analyses, automates reporting, assesses product and process changes, and communicates actionable insights to senior leaders and cross-functional risk, finance, credit policy, and business stakeholders.

Design, build, and maintain optimized, highly available data pipelines and the BMG Data Warehouse. Lead medium-to-complex data integration, data modeling, code reviews, QA, and cloud migration efforts. Collaborate with business partners to translate requirements into solutions, resolve technical issues, and support analytics and reporting needs while adhering to policies and compliance.

Performs deposit pricing and portfolio analytics for consumer and small business banking. Analyzes large datasets to evaluate customer behavior, balance migration, product performance, pricing effectiveness, portfolio health, growth, mix, and profitability. Develops scenario analyses, recurring reports, visualizations, and leadership presentations while ensuring data quality, governance, and analytical rigor. Collaborates with pricing, product, strategy, and analytics teams to support strategic decisions and portfolio optimization.

A 10-week quantitative analytics internship for PhD candidates. Interns apply statistics, artificial intelligence, machine learning, and programming to credit risk, fraud detection, operational loss, portfolio forecasting, model validation, and consumer decisioning projects. The role includes technical training, mentorship, collaboration with quantitative professionals, and exposure to senior leaders. High-performing interns may be considered for full-time roles after graduation.

10-week summer internship for Masters candidates to build and validate quantitative models for capital markets, applying statistical, simulation, and machine learning techniques, contributing to model performance monitoring, pricing, and risk analytics with mentorship and potential full-time conversion.