Assistant Manager

Job details

Job Description: Core strengths / capabilities

Requirements & analysis: discovery workshops, user stories, epics, acceptance criteria, NFRs, prioritization support
Process & operational design: as-is/to-be, Visio, service blueprints, controls and handoffs
Data & integration awareness: data lineage, field mapping, event flows, basic SQL (where relevant)
Delivery support: backlog refinement, sprint support, UAT planning/execution, triage, defect management
Stakeholder management: influencing across Product, Tech, Ops, Compliance/Risk; clear written comms
Quality & governance: traceability, change impact assessment, RAID management, documentation discipline

Responsibilities: Typical deliverables

Tools/ways of working (examples)

Jira/Confluence, Visio, Excel, SQL (basic–intermediate), Agile/Scrum/Kanban.

Nice “differentiators” (optional)

Experience in regulated environments (risk, audit, controls-by-design)
Familiarity with cloud patterns, microservices, event-driven architecture (high-level)
Ability to simplify complex stakeholder needs into an MVP and phased roadmap

Qualifications: Graduate in Computer Science, Data Science, or related field. 2-3 years of experience in data engineering or related field.