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Lead FP&A analyst responsible for complex financial analysis, forecasting, and financial modeling. Develops methodologies, owns channel and product costing models, supports pricing, produces senior‑level presentations, responds to business information requests, improves financial service delivery, manages projects, and supports team development.

Develops scalable, secure ETL pipelines, database architectures, and real-time or batch data solutions. Integrates large datasets, ensures data quality and integrity, writes complex code and queries, and translates business needs into technical designs. Leads solution development, testing, releases, documentation, training, and vendor issue resolution while advising business partners on data analysis and tools.

Support a senior IT leader by managing complex calendars, prioritizing and deconflicting meetings, coordinating events and logistics, arranging domestic and international travel, processing expenses, ordering supplies, maintaining distribution lists, and assisting with special projects. The role requires discretion, sound judgment, strong organization, proactive decision-making, and proficiency with Microsoft Office and collaboration tools.

Two-year rotational program for graduating students to analyze structured and unstructured data, develop dashboards and visualizations, apply SQL/Python/Tableau/Power BI, partner with business teams, and deliver insights that influence strategy and improve client and operational outcomes.

Two-year rotational program for recent graduates to analyze structured and unstructured data, build dashboards and visualizations, partner with business and tech teams, apply data governance, and deliver insights using SQL, Python, Tableau and cloud platforms to influence strategy and improve client and operational outcomes.

Leads enterprise data engineering, AI engineering, and data management teams. Owns strategy, roadmaps, and delivery for governed data products, cloud-native platforms, lakehouse architectures, semantic intelligence, and AI-enabled analytics. Drives AWS modernization, DataOps, MLOps, governance, security, reliability, responsible AI, and platform adoption while partnering with business and technology executives. Builds organizational capability, recruits talent, and translates complex data and AI investments into measurable business outcomes.

Design and deploy AI/ML solutions, including agentic AI systems, multi-agent LLM applications, enterprise knowledge systems, and predictive models. Partner with stakeholders to solve high-value business problems, establish evaluation frameworks, and implement monitoring, guardrails, explainability, and responsible AI practices. Collaborate with engineering teams on scalable production deployment, advise on AI strategy, and mentor colleagues.

Leads discovery and analysis of complex business challenges, translating them into problem statements, solution options, business cases, and strategic recommendations. Partners with stakeholders, product managers, architects, and subject matter experts to evaluate risks, dependencies, and technology investments. Facilitates consensus among competing priorities, presents recommendations to senior leaders, and identifies reusable global capabilities across regions and business lines.

Develops and supports full-stack applications and databases, translating technical specifications into code, testing software, automating tests, and deploying applications across development, test, and production environments. Provides production support, participates in design and code inspections, follows software development and architecture standards, learns business and technology needs, and complies with information security policies.

Leads business requirements, process documentation, governance artifacts, operational playbooks, and readiness activities for debit card and money movement initiatives. Coordinates stakeholders across Product, Operations, Risk, Compliance, Legal, Technology, vendors, and program leadership. Tracks dependencies, decisions, and deliverables; supports feature prioritization, vendor onboarding, contract requirements, launch readiness, and transition into ongoing operations.