Senior Capacity Planning Engineer

About the Role

The Senior Capacity Planning Engineer for Mainframe works with a team responsible for monitoring, analyzing, and reporting mainframe processing capacity. The successful candidate will collect, process, and validate system resource data and business volume data for future analysis using sound data science principles. This role requires a basic understanding of Mainframe and knowledge of the sources and tools used to collect, validate, and process system data.

Responsibilities

• Run and validate the Data Collection and Reporting process using scheduling software.
• Design basic reports using SAS and build and edit JCL in ISPF.
• Create and update policies, job aids, and other documentation.
• Learn MICS/MXG Database Architecture and diagnose MICS-related errors.
• Execute and validate MICS administrative tasks to maintain proper maintenance.
• Use basic methods to summarize data, display it in an organized manner, and identify patterns and relationships.
• Collect and report business volume data from various sources.
• Conduct risk assessments of extreme market conditions for selected business streams.
• Produce and update a Business Process Requirements document for selected business streams.
• Organize and store Capacity Planning artifacts for future retrieval.
• Develop ad hoc reports for senior business and management forums.
• Mitigate risk by following established procedures, monitoring controls, and spotting key errors.

Requirements

• A bachelor's degree in a mathematics or statistics discipline is preferred, or equivalent work experience.
• A minimum of 5 years of related experience is required.

Skills

• SAS experience is required.
• Understanding of mainframe technology and its components is necessary.
• MICS/MXG experience is essential.
• Familiarity with mainframe capacity and performance data (SMF, RMF, CICS, DB2, MQ) is needed.
• Intermediate skills in MS Office, particularly PowerPoint and Excel, are required.
• Analytical skills including data exploration, analysis, and production of models are required.
• Solid background with Descriptive Statistics is required.
• Knowledge of Inferential Statistics is a plus.

Benefits

• Medical, dental, vision, life, disability, and other supplemental insurance plans.
• Employee Stock Purchase Program (ESPP).
• 401K program with company match after 12 months of tenure.
• Health Savings Account (HSA) on the HDHP plan.
• SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions.
• Corporate discount savings program and other discounts.
• On-demand training program and access to certification prep, technical and leadership courses/books/seminars after 6+ months of tenure.
• Certification discounts and perks for associations including CompTIA and IIBA.
• Dedicated customer service team for benefits and resources.
• Access to a certified Career Coach.