Mainframe Systems Manager.

Oversee, lead, and manage a team of system programmers, including day-to-day operations,
scheduling, task delegation, performance management, and setting team and individual goals.
• Plan and coordinate upgrades for mainframe hardware such as mainframe processors,
DASO, and VTS systems.
• Research, evaluate, and implement strategic technological solutions to modernize and
optimize mainframe systems.
• Oversee all aspects of daily mainframe operations, including monitoring, incident
response, change management, and project intake.
• Work effectively with your manager, peer managers, external agencies, and technical support
staff, including documenting and explaining technical issues clearly.
• Complete team projects by coordinating team resources and collaborating with other
departments and the data center.
• Plan work, manage timelines, and provide accurate status updates as required.
• Support staff in learning new technologies quickly and resolving issues efficiently.
Preferred Qualifications:
• Possess 1O+ years of experience working as a mainframe manager in a med to large-
scale enterprise environment.
• Demonstrate strong expertise with mainframe technologies including z/OS, CICS, D82, IMS.
• Demonstrate strong interpersonal skills and the ability to work well in a team environment.
• Show initiative, self-motivation, and the ability to independently find answers and solutions.
• Willingness to work after hours, weekends, and maintain 24/7 availability and responsiveness when
required.
• Ensure adherence to all technical policies, standards, and security requirements.
• Exhibit excellent oral, written, organizational, and interpersonal communication skills.
• Experience with enterprise monitoring tools such as OMEGAMON, SMF analytics.
• Experience supporting disaster recovery planning, testing, and execution.
• Knowledge of mainframe security frameworks.
• Experience collaborating with storage, network, and data center operations teams.
• Ability to drive modernization initiatives including automation, performance tuning, and workload.