FIS Systematics Subject Matter Expert

Role-FIS Systematics Subject Matter Expert Exp- 5+ Yrs Location-Bangalore Description: We are seeking an experienced FIS Systematics Subject Matter Expert (SME) to support a large-scale core banking data migration program. The client is transitioning from FIS Systematics - a legacy COBOL-based core banking platform - to a modern, cloud-native Gen 3 core banking solution. The contractor will serve as the authoritative source of knowledge on Systematics data structures, processing logic, and operational workflows, enabling the migration team to accurately map, transform, validate, and load source data into the target system. Key Responsibilities Source System Analysis & Documentation

• Serve as the primary SME for FIS Systematics, including CICS/COBOL file structures, VSAM datasets, and application modules (e.g., DDA, Savings, Loans, CD, GL).
• Interpret and document Systematics data definitions, copybooks, and file layouts to inform data mapping activities.
• Identify and explain system-of-record hierarchies, account relationships, and cross-module dependencies.
• Clarify business rules embedded in Systematics processing logic (e.g., interest calculations, statement cycles, charge-off logic) for use in transformation specifications.

Data Mapping & Transformation Support

• Collaborate with data architects and migration engineers to produce source-to-target field-level mapping documents.
• Advise on data type conversions, code table translations, and handling of Systematics-specific packed decimal, binary, and zoned-decimal fields.
• Support the identification and resolution of data quality issues discovered during profiling, including null handling, referential integrity gaps, and legacy encoding.
• Review and validate transformation logic to ensure business rules are correctly represented in ETL/ELT pipelines.

Data Quality & Testing

• Define and document acceptance criteria for source data extracts, including record counts, balancing totals, and key field validations.
• Partner with QA and reconciliation teams to design test cases that verify the integrity of migrated data against Systematics source records.
• Assist in investigating reconciliation breaks, data anomalies, and exception reports during migration dress rehearsals and cutover.
• Validate that migrated balances, transaction histories, and account attributes align with Systematics end-of-day positions.

Pipeline Design & Build Support

• Advise migration engineers on optimal extract strategies from Systematics, including batch file exports, tape-to-disk conversion, and VSAM sequential read approaches.
• Support the design of data pipeline architecture, providing input on sequencing, dependency management, and load ordering (e.g., party before account, account before transactions).
• Review pipeline build artifacts - including extract scripts, transformation code, and load procedures - to ensure alignment with Systematics data semantics.
• Participate in pipeline testing cycles and provide domain-level validation of outputs at each stage.

Stakeholder Engagement

• Act as a translator between legacy system operations teams and modern platform architects, bridging knowledge gaps across generations of technology.
• Participate in working sessions, sprint reviews, and design workshops as required.
• Produce clear written documentation suitable for both technical and non-technical audiences.

Required Qualifications

• 5+ years of hands-on experience with FIS Systematics (also marketed as Metavante Systematics or SCI), including deep knowledge of its core modules (DDA, Savings, Installment Lending, Mortgage, CD/IRA, General Ledger).
• Strong understanding of Systematics file architecture: VSAM KSDS/ESDS structures, copybook layouts, and record types.
• Familiarity with COBOL-based processing logic and ability to read/interpret Systematics source programs and JCL job streams.
• Experience participating in or leading data migration, system conversion, or parallel run activities involving Systematics as source or target.
• Practical knowledge of data extraction methodologies from Systematics batch environments (sequential file dumps, report writer extracts, direct VSAM reads).
• Experience creating or reviewing data mapping specifications and transformation logic documentation.
• Strong analytical and problem-solving skills with the ability to investigate complex data discrepancies.
• Excellent written and verbal communication skills; ability to document complex legacy concepts clearly.

Preferred Qualifications

• Prior experience with Gen 3 / cloud-native core banking platforms (e.g., Thought Machine Vault, Mambu, Temenos Transact, or similar).
• Exposure to modern data pipeline tooling (e.g., Informatica, dbt, Azure Data Factory, AWS Glue, or Apache Spark).
• Experience with banking regulatory data requirements, including HMDA, CRA, AML, and call report data lineage.
• Familiarity with data quality frameworks and tools (e.g., Great Expectations, Collibra, Informatica DQ).
• Background in community banking, credit unions, or regional banking environments where Systematics is most prevalent.
• Prior consulting or contracting experience on core banking conversion programs.

Engagement Expectations The successful contractor will be embedded within the data migration program workstream and is expected to:

• Be available for regular stand-ups, working sessions, and ad hoc consultations during core business hours.
• Deliver high-quality written documentation and mapping artifacts within agreed sprint timelines.
• Work collaboratively with onshore and offshore team members across time zones.
• Exercise sound judgment in escalating risks or issues related to source data quality or migration design.
• Maintain confidentiality of client data and comply with applicable data handling and security policies