Mainframe Data Conversion Specialist

Description: IBM OMA Data Conversion Specialist (JOBTRAC Migration)

Location- Dallas TX

Position Overview

We are seeking a highly skilled IBM OMA Data Conversion Specialist to support the migration, transformation, and validation of CA‑JOBTRAC job scheduling data into IBM-based enterprise scheduling environments. The ideal candidate will have strong mainframe experience, deep knowledge of IBM OMA utilities, and hands-on background performing large‑scale data conversions with attention to detail and process accuracy.

Key Responsibilities

Data Conversion & Migration

• Extract, convert, and transform JOBTRAC scheduling data (jobs, calendars, triggers, relationships, and anchors) into target IBM scheduling formats.
• Execute automated and manual data‑conversion processes, ensuring accuracy across multiple data types and formats—skills aligned with established data-conversion specialist expectations.
• Develop mapping rules and cross‑reference matrices to align JOBTRAC constructs with IBM OMA processing models.

Technical Execution

• Utilize IBM OMA utilities, scripts, and batch processes to ingest, verify, and validate migrated schedule data.
• Work with mainframe datasets, JCL, REXX/CLIST, COBOL or equivalent tools for data extraction and transformation.
• Troubleshoot conversion issues, reconcile mismatched records, and resolve discrepancies encountered during data transformation.

Required Skills & Qualifications

Technical Skills

• Strong knowledge of CA‑JOBTRAC job structures, job history file formats, and GJTRMAIV‑based job‑collection processes.
• Hands-on experience with IBM mainframe environments, including IBM Z, JCL, dataset structures, and standard utilities.
• Data conversion expertise, including manual and automated techniques, large‑scale dataset handling, and transformation logic.
• Familiarity with IBM OMA (Operational Management Assistant) or related IBM scheduling toolsets.
• Proficiency with scripting languages (REXX preferred), FTP/SFTP, and mainframe data manipulation tools.

Core Competencies

• Strong analytical and problem‑solving abilities—especially when handling large and complex data sets, as expected for professional data‑conversion roles.
• Excellent communication skills for cross‑team collaboration.
• High attention to detail and accuracy.
• Ability to manage multiple conversion streams under tight timelines.