Assistant Manager

Job description

**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** - Problem statement, scope, assumptions, success measures - Epics/features, user stories, acceptance criteria - Process maps (as-is/to-be), customer journeys - Data dictionary, mapping specs, interface requirements - UAT approach, test scenarios, sign-off pack **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.