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Lead data science and machine learning initiatives supporting small business lending and commercial credit risk. Develop predictive models, advanced algorithms, and automated analytical solutions for underwriting, pricing, portfolio management, and lending decisions. Translate complex datasets into actionable insights, advise senior leaders, lead projects, promote ethical AI, mentor team members, and advance analytical practices across the organization.

Leads cross-functional programs supporting business transformation, operational efficiency, and strategic initiatives. Develops program plans, manages budgets and resources, oversees governance, mitigates risks, aligns stakeholders, and reports performance to senior leadership. Coordinates internal and external partners, supports business cases and investment planning, promotes change readiness, and mentors program staff. Ensures compliance with organizational controls while improving program delivery methodologies and enterprise practices.

Year-round intern supporting Military Talent Acquisition Programs, Early Careers, and Internal Mobility initiatives. Responsibilities include recruiting outreach, job postings, interview scheduling, event coordination, candidate communications, program inquiries, research, reporting, data maintenance, presentations, and cross-functional projects. The role provides hands-on experience in talent acquisition, HR program management, communications, and enterprise workforce initiatives while requiring enrollment in college-level coursework throughout the internship.

Develops predictive, descriptive, and prescriptive models using member, financial, and organizational data. Identifies insights, tests hypotheses, builds algorithms and automated processes, and communicates findings to stakeholders. The role supports business decision-making, product and process optimization, ethical AI practices, and model lifecycle execution while leading small projects and initiatives.

Designs, develops, tests, maintains, and supports distributed intake channels, web applications, workflow services, and enterprise orchestration platforms. Builds reusable automations, integrates server, storage, database, and network technologies, reengineers processes, evaluates emerging technologies, and improves platform reliability. Provides technical consulting across teams, promotes automation adoption, and creates comprehensive technical documentation.

Analyze data from multiple internal and external sources to identify trends, produce dashboards and reports, and deliver actionable insights to leadership. Develop BI solutions, KPI reporting, forecasts, root-cause analyses, and data-driven recommendations. Communicate findings to technical and nontechnical stakeholders, respond to ad hoc reporting needs, validate and integrate data, and lead small projects supporting business performance.

Leads enterprise LLMOps, AgentOps, and MLOps capabilities, including AI deployment, monitoring, governance, evaluation, reliability, FinOps, and continuous improvement. Owns the AI operations roadmap, standards, service model, and adoption strategy while partnering with security, risk, infrastructure, architecture, and business teams. Builds a multidisciplinary team, manages strategic vendors and budgets, establishes responsible AI controls, and reports on adoption, operational health, cost efficiency, and risk.

Oversees mortgage records production flow, document quality control, indexing, lien releases, paid-in-full processing, MERS/eVault activity, reconciliations, audits, vendor performance, and regulatory compliance. Coordinates daily assignments, resolves complex inquiries and documentation discrepancies, supports supervisors, and serves as a subject matter expert on mortgage notes and critical loan documents. Guides less experienced staff and may act as supervisor in the incumbent’s absence.

Provide financial consulting and investment/insurance recommendations to members, grow and service a book of business, execute securities transactions, maintain regulatory compliance (FINRA, NASAA, SEC), run local seminars/events, and track/report sales performance.

Leads complex manual and automated testing across web, client-server, API, service-based, mainframe, and cloud-native systems. Creates test plans, cases, automation frameworks, reusable components, and documentation; executes integration, regression, functional, SIT, UAT, and end-to-end testing. Troubleshoots automation, manages defects, supports CI/CD testing in Azure DevOps, analyzes requirements and results, and mentors testing staff while collaborating with technical and business stakeholders.