Technical Skills:

Expert in at least two Hogan modules (ILP, IDS, CIS, ODS, FSS, etc.). Advanced COBOL, JCL, Easytrieve, REXX; Assembler a plus.

Deep understanding of financial operations:

deposits, loans, payments, ACH/wire, ATM/debit, credit cards, collections, GL reconciliation. Experience with API integration, batch processing, and VSAM. Proficient in AI-assisted development tools for code, review, and automation. Demonstrated ability to perform code reviews, and mentor junior developers. Strong background in production support, issue resolution, API integration, and SDLC best practices. Proficient in leveraging AI-assisted development tools to enhance productivity and code quality

Preferred:

8+ years with large-scale, high-transaction, high-availability software implementations. Experience with Hogan upgrades and integrating AI tools into the SDLC. Equivalent combination of education and experience is considered. Experience using A.I. tools preferred. Supervisory Responsibility This position will not supervise employees. Licenses and Certifications There are no additional licenses and/or certifications required. Work Environment While performing the duties of this job, the employee is regularly exposed to an indoor office setting with moderate noise. •Most roles require working in an office setting with moderate noise and the ability to lift 25 pounds.• Travel Ability to travel to various worksites and be on-call may is required. Pay Transparency The anticipated starting salary range for this role is $84,700.00 - $188,845.00 This position is eligible for an organizational performance based annual bonus, subject to board discretion and approval. This position is eligible for an individual performance based annual bonus. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. This is not intended to be an all-inclusive list of job duties, and the position will perform other duties as assigned. Lead technical analysis, design, and implementation of Hogan application enhancements and production fixes in a mission-critical core banking environment. Develop and maintain COBOL/Assembler programs and JCL; design and support API integration points. Execute full SDLC activities, driving process improvements and automation using AI tools to translate business requirements into technical specifications for Hogan modules. Enhance and automate the Technical Review Board and peer review processes to ensure project scope, deliverables, and coding standards are met. Provide expert-level support for batch failures, online transaction issues, fraud concerns, and data reconciliation discrepancies. Architect solutions for complex system modifications involving multiple Hogan modules, database structures (VSAM), and batch processing frameworks; advocate for Snowflake in reporting solutions. Perform impact analysis on proposed changes, assess downstream effects, and develop automated risk mitigation strategies using AI tools. Lead technical discussions with business stakeholders, IT management, and vendors to prioritize initiatives and resolve architectural challenges, leveraging AI to automate prioritization. Ensure compliance with change management, documentation standards, version control, and release management, utilizing AI tools where possible. Collaborate with automated testing teams to expand and maintain comprehensive testing strategies (functional, regression, performance). Analyze and resolve defects, using system logs, CPROF, Pem dumps, and debugging tools (e.g., Expediter) to identify root causes. Balance multiple projects and production incidents, meeting SLA commitments and enforcing adherence to change control, audit, and disaster recovery procedures. Undertake additional responsibilities as business and technical needs evolve.

Key Relationships IT Management:

Provide technical recommendations, drive continuous improvement, and support escalation avoidance.

Development Team:

Mentor developers on Hogan architecture and coding practices, conduct technical reviews, promote knowledge transfer and collaborative problem-solving, and encourage AI adoption.

Business Units/Vendors:

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