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Leads analysis, design, development, testing, maintenance, and modernization of business-critical IBM i applications. Provides client consulting, resolves application issues, documents architectures, conducts code reviews, and may lead technical teams. Requires advanced RPG/RPGLE and embedded SQL expertise, DB2 application programming, ILE concepts, JDA/MMS experience, deployment processes, and strong technical communication skills.

Develop, maintain, enhance, and support business-critical IBM i/AS400 applications using RPG/RPGLE, CL, IBM i SQL, and Synon2/E. Analyze requirements, troubleshoot production issues, perform root-cause analysis, participate in the software development lifecycle, and collaborate with technical teams and business stakeholders. The role also includes incident and change management, code reviews, documentation, application reliability improvements, and occasional mentoring of junior developers.

Generate qualified analytics sales pipeline by researching target accounts, prospecting CFOs and finance leaders, conducting discovery conversations, qualifying opportunities, scheduling meetings for Account Executives, and maintaining accurate Salesforce records. The role requires outbound communication across phone, email, and LinkedIn, collaboration with Sales and Marketing, and familiarity with financial reporting, business intelligence, Power BI, Microsoft Fabric, and Azure Data.

Lead diagnosis and optimization of enterprise Java performance across application, JVM, middleware, database, OS, and infrastructure. Use profiling, heap/thread dumps, APM and observability tools to identify root causes, design scalable architectures, recommend remediation, and guide implementations while leading client-facing discovery and technical workshops.

Lead FP&A activities including detailed financial analysis, forecasting, budgeting, and audit‑level reporting. Build and maintain financial models, integrate financial and operational data, support M&A due diligence and pricing/sales profitability, and recommend data-driven strategic insights while driving automation and AI-enabled analytics adoption.