Project Management Executive - Return & Refund, Operations

1. Initiative Management (Primary Focus)

• Own the end-to-end lifecycle of R&R improvement projects: scoping, planning, stakeholder alignment, execution, and post-launch review.
• Maintain a structured initiative pipeline aligned with business priorities, ensuring clear ownership, timelines, and success criteria for each workstream.
• Coordinate cross-functional delivery across Operations, Product, Engineering, Quality, and Regional teams, managing dependencies and resolving blockers proactively.
• Produce project documentation including charters, RACI matrices, implementation plans, and post-implementation reports.
• Escalate risks and system incidents to relevant stakeholders with clear impact assessment and proposed mitigations.

2. Needs Analysis & RR Process Improvement

• Conduct structured needs assessments to identify gaps in policy, process, tooling, or agent knowledge that are contributing to operational inefficiencies, escalation trends, or customer dissatisfaction.
• Analyse escalation data, agent query patterns, CSAT signals, and refund leakage metrics to surface root causes and quantify improvement opportunities.
• Translate findings into actionable recommendations with clear business cases, prioritised by impact and feasibility.
• Track the effectiveness of implemented changes through defined KPIs - including error rate reduction, escalation volume, AI resolution accuracy, and CSAT movement.

3. Knowledge Governance & Documentation

• Develop, standardise, and maintain R&R policies, SOPs, decision trees, and process documentation, ensuring consistency, accuracy, and regulatory alignment.
• Structure documentation for AI-readability: taxonomy, tagging, metadata, and logic-flow formatting that supports downstream automation and training data use.
• Own version control and change management across all R&R knowledge assets, ensuring operational teams always work from a single source of truth.
• Conduct periodic knowledge audits to identify outdated content, inconsistencies, or gaps ahead of policy changes or product launches.

4. Systems, AI & Integration

• Serve as the operational interface between R&R and Product/Tech teams for system enhancements, automation rollouts, and AI tool integration.
• Identify and propose opportunities for automation within returns and refund workflows - including rule-based decisioning, agent-assist tools, and chatbot integrations.
• Translate R&R policies and decision logic into structured formats suitable for AI training datasets and automated workflows.
• Monitor AI output accuracy post-deployment, identify performance gaps, and work with Data Science teams to refine models and training inputs.
• Apply working knowledge of IT systems and integration frameworks to assess feasibility of proposed enhancements and engage meaningfully in technical discussions with Engineering counterparts.

• Bachelor's degree in Business, Information Technology, Project Management, Operations Management, or a related field.
• 3-6 years of experience spanning project coordination, process improvement, knowledge management, or system operations - ideally within an e-commerce or marketplace environment.
• Proven track record of managing cross-functional projects from initiation through to measurable outcome.
• Experience working with or alongside Product and Engineering teams on system enhancements or integrations is strongly preferred.
• Exposure to AI tools, automation platforms, or agent-assist / chatbot technologies is an advantage.