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Leads multiple software engineering teams within a financial institution. Responsibilities include coaching engineers, managing delivery and stakeholder relationships, overseeing architecture and implementation, ensuring secure and resilient production systems, and maintaining compliance with business requirements. The role also drives responsible adoption of AI-assisted engineering, SDLC automation, and enterprise development tools while supporting hiring, talent development, technical troubleshooting, and project execution.

Build rapid AI prototypes, applications, point solutions, and agentic workflows alongside client engagement teams. Translate business challenges into working solutions, validate feasibility, align stakeholders, and hand off prototypes to Product and Technology. Guide teams in adopting AI-first approaches using approved platforms, controls, and guardrails. Capture business logic, support change management, connect clients with AI product teams, and teach technical practices through hands-on collaboration.

Supports AI-first process improvement and transformation engagements by analyzing processes and data, building prototypes and agentic workflows, documenting business logic, developing recommendations, and communicating solutions to technical and non-technical stakeholders. Works under senior guidance while developing technical credibility, applying generative AI responsibly, considering adoption and change management, and delivering assigned workstream outcomes. Travel may be required up to 10%.

Supports Financial Advisors and ultra-high-net-worth clients throughout onboarding, account maintenance, investment transactions, portfolio reviews, money transfers, and wealth-management service delivery. Coordinates with compliance, branch management, and internal teams while ensuring regulatory adherence, resolving client needs, and supporting firm initiatives. The role requires strong communication, independent ownership, and Series 7 and 66 licensing.

Conduct portfolio, stress, and scenario analyses to evaluate counterparty exposures across derivatives and securities financing. Execute regulatory stress testing submissions, analyze outputs, monitor risk metrics, investigate concentrations and exposure trends, prepare responses for regulators and management, and collaborate with credit, technology, quant, product, and reporting teams to improve risk metrics, automation, and data quality.

Leads the technical vision, architecture, delivery, reliability, governance, and operations of a large-scale risk feature engineering platform. Manages multiple engineering teams and senior leaders, drives Databricks and AWS platform strategy, oversees batch and real-time data systems, and establishes standards for agentic AI-enabled development, security, resiliency, data quality, and regulatory controls. Partners with executives and technology stakeholders to deliver cross-organizational platform adoption and modernization.

Leads a credit risk team overseeing end-to-end credit delivery, underwriting quality, portfolio management, credit administration, and regulatory compliance. Manages Credit Officers and Analysts, monitors capacity and performance metrics, provides training and mentorship, collaborates with Lending Advisory, Underwriting, Operations, and senior stakeholders, and delivers prudent credit guidance and client solutions.

Design, develop, and support scalable, secure database and software solutions. Drive database modernization, troubleshooting, migrations, automation, and CI/CD practices. Use AI-assisted development tools responsibly, produce architecture artifacts, and collaborate with cloud, PaaS/DBaaS, and DevOps teams to ensure production stability and continuous improvement.

Develop and execute strategic internal and executive communications for Technology and Product & Experience organizations. Support senior executives with messages, presentations, town halls, and site visits; create human-centered stories; manage communication channels and tactics; measure outcomes; and simplify complex technology, AI, and software-development concepts for employees. The role also partners with stakeholders, identifies efficiencies, and advises on emerging communication methods and tools.

Develop secure, scalable software solutions using Java and Python within an agile engineering team. Design architectures, write and maintain production code, troubleshoot systems, analyze large datasets, and improve application reliability and coding practices. Use enterprise-authorized AI development tools responsibly for coding, testing, troubleshooting, and documentation. Required experience includes AWS, PostgreSQL, SQL, software development lifecycle practices, CI/CD, resiliency, and security.