Regional bank scaling AI infrastructure and cloud migration
Customers Bank operates a $22+ billion asset regional institution focused on relationship-driven commercial and specialized lending. The tech stack reveals a modernization arc: core banking (Encompass, nCino), cloud foundation (Azure, AWS, GCP), and emerging AI/analytics (Snowflake, Databricks, Microsoft Fabric). Active projects center on secure AI integration, disaster recovery, and cloud landing zones—priorities that align with documented pain points around secure AI augmentation and cloud-first transformation. Mid-seniority hiring concentration (20 of 41 open roles) suggests execution-phase scaling rather than early exploration.
Customers Bank is a publicly traded regional bank headquartered in Reading, Pennsylvania, serving entrepreneurs, small-to-mid-market companies, healthcare organizations, and technology-focused firms. The bank offers commercial lending, cash management, equipment financing, specialized credit solutions, and digital banking through a single-point-of-contact relationship model. With 501–1,000 employees, the bank reported a 2024 Net Promoter Score of 73, above U.S. banking industry average. Core lending verticals include healthcare and life sciences, venture banking, fund finance, and commercial real estate. Services span traditional business banking to emerging areas like securities-based lending and warehouse lending.
Core systems: Workday (HR), Encompass and nCino (loan origination). Cloud: Azure, AWS, GCP, with Azure Virtual Networks and ExpressRoute. Analytics: Snowflake, Databricks, Microsoft Fabric, Power BI. Security: Palo Alto Networks, Cisco, Microsoft Defender. Development: Python, CI/CD pipeline automation in progress.
Priority projects: AI-focused capstone and RAG pattern implementation; Microsoft Fabric integration; disaster recovery testing for payment systems; Azure landing zone implementation; CI/CD pipeline automation; HR dashboards and loan process improvements.
Customers Bank's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.