Senior Business Analyst IRC300504

Job Description

• Proven ability to elicit and document business rules embedded in legacy applications.
• Experience analysing incident/ticket history to establish operational baselines and pain points.
• Skilled at facilitating functional discovery workshops with mixed business and technical stakeholders.
• Able to define and baseline SLAs, KPIs, and success metrics for a support engagement.
• Comfortable using AI tooling to accelerate analysis while verifying outputs against source data.
• Work on legacy or mission-critical systems.

Job Responsibilities

• Lead functional discovery workshops to map what the mainframe applications do from a business perspective.
• Document critical business rules, batch dependencies, and functional pain points tied to legacy code.
• Analyse incident and backlog history, using AI-assisted clustering where useful, to establish a current-state support baseline.
• Define SLA, KPI, and success-metric baselines for the proposed maintenance model.
• Triage and prioritize candidate use cases for the maintenance pilot by business impact.

• Consolidate current-state findings into the assessment deliverables alongside the architect.

   

Department/Project Description

The engagement supports a maintenance assessment and advisory for a legacy mainframe environment built primarily on COBOL, running mission-critical batch and online workloads. The objective is to establish a fact-based understanding of the current application estate and its support model, and to define a scoped, low risk maintenance pilot as the basis for a potential longer term managed services engagement.

The initial advisory phase is an assessment structured in three stages: a scope-alignment workshop to agree services, ownership, and boundaries; a current-state assessment of the code estate, data, batch/online flows, operations, and ticket history to establish baselines and pain points; and a pilot-identification stage to prioritize candidate use cases and define objectives and success metrics. The phase is diagnostic in nature — it covers evaluation, characterization, and effort estimation only, with no code remediation or production changes performed during assessment. Success depends heavily on timely access to client subject-matter experts and to the target environment.