Mainframe Consultant

About the role

We are seeking an experienced Mainframe Consultant with deep expertise in Healthcare Payer systems, specializing in IMS, DB2, COBOL, JCL, CICS, and Mainframe-based core administrative platforms.

Key Responsibilities

• Serve as a subject matter expert for Healthcare Payer business processes and legacy mainframe applications.
• Analyze and interpret business workflows related to: Member Enrollment and Eligibility, Provider Management, Claims Processing and Adjudication, Benefits and Plan Configuration, Authorization and Utilization Management, Care Management, Billing and Premium Processing, Customer Service Operations.
• Collaborate with business stakeholders to document and validate business rules embedded within legacy systems.
• Perform comprehensive analysis of legacy mainframe applications and associated databases.
• Understand end-to-end application architecture involving: IMS DBIMS TMDB2COBOLJCLCICSVSAMSort UtilitiesBatch and Online Processing.
• Identify system dependencies, interfaces, business logic, and data flows across applications.
• Support impact assessments and modernization roadmaps.
• Analyze IMS hierarchical database structures and interpret business relationships.
• Understand segment layouts, parent-child hierarchies, and complex data associations.
• Map business concepts to underlying IMS and DB2 data structures.
• Interpret legacy business rules embedded within programs, database schemas, and batch processes.
• Support extraction and transformation of IMS and DB2 data for cloud, analytics, and modernization programs.
• Reverse engineer legacy applications to uncover business rules.
• Create detailed functional specifications and technical documentation.
• Document: Data lineage, Business rule mappings, Data transformation logic, Source-to-target mappings, Process flows, Dependency matrices.
• Partner with data and business teams to validate findings.
• Support legacy modernization initiatives involving IMS and DB2 platforms.
• Assess migration readiness and modernization approaches.
• Provide recommendations for: Data modernization, Cloud migration, Data lake and lakehouse integration, Enterprise analytics enablement, Semantic layer creation, API enablement of legacy systems.
• Collaborate with Data Architects and Engineering teams on modernization strategies.
• Participate in discovery workshops, application assessments, and client discussions.
• Present findings, recommendations, and solution approaches to business and technical stakeholders.
• Support proposal development, effort estimation, and modernization planning.
• Act as a trusted advisor for healthcare payer transformation initiatives.
• Communicate complex legacy application concepts to modern engineering and business teams.
• Conduct data profiling and system assessment activities.
• Perform source-to-target mapping across legacy and modern platforms.
• Define transformation rules and reconciliation approaches.
• Support migration and validation activities during modernization programs.
• Ensure business and data integrity are preserved during transition initiatives.
• Collaborate with Enterprise Architects and Data Architects to design future-state solutions.
• Provide insights into legacy application behavior and downstream impacts.
• Assist in defining integration patterns between mainframe systems and modern platforms.
• Support semantic modeling, data governance, and enterprise data architecture initiatives.

Required Technical Skills

• Mainframe Technologies: COBOL, JCL, CICS, IMS DBIMS TMDB2VSAM, File-AID, Sync, Sort, Mainframe Utilities.
• Database & Data Analysis: IMS Hierarchical Database Structures, DB2 Relational Database Design, Data Mapping, Data Profiling, Data Lineage, Data Modeling, Source-to-Target Mapping.
• Healthcare Domain: Payer Operations, Claims Adjudication, Enrollment & Eligibility, Provider Data Management, Benefits Administration, Authorization & Utilization Management, Healthcare Data Models, Regulatory and Compliance Awareness.
• Modernization Exposure: Data Lake / Lakehouse Concepts, Cloud Migration Initiatives, Enterprise Data Platforms, API Integration Patterns, Analytics Enablement Programs.

Additional Requirements

• Strong analytical and investigative skills.
• Ability to interpret undocumented legacy applications and business logic.

Life at CitiusTech

We focus on building highly motivated engineering teams and thought leaders with an entrepreneurial mindset, centered on our core values of Passion, Respect, Openness, Unity, and Depth (PROUD) of knowledge. Our success lies in creating a fun, transparent, non-hierarchical, diverse work culture that focuses on continuous learning and work-life balance. Rated by our employees as the Great Place to Work according to the Great Place to Work survey. We offer you a comprehensive set of benefits to ensure that you have a long and rewarding career with us.