Job Description:
Lead structured Kaizen cycles focused on throughput, quality and risk reduction. Apply relevant Process Management tools (e.g. Lean/Six Sigma tools such as VSM (Value Stream Mapping), SIPOC (Supplier, Input, Process, Output, Customer), 5 Whys, Ishikawa). Perform process mining and time‑and‑motion analysis. Identify root causes of rework, delays, documentation errors and funding bottlenecks. Design and develop To‑Be processes including clear role definitions, handoffs, and service-level expectations. As minimum expected is inclusion of RACI (Responsible, Accountable, Consulted, Informed), SLAs and control points. Analyze and document current (“as-is”) processes across all functions – e.g. origination, credit, operations, funding/treasury, and portfolio management. Identify inefficiencies (benchmarking against other countries in the network, against the market), bottlenecks, error drivers, and compliance-related risks. Support the creation and maintenance of standard operating procedures (SOPs), process maps, and work instructions. Serve as the primary process interface between functions (e.g., IT, Risk, Operations, Finance). Align process and system requirements with Group standards while ensuring local regulatory and operational needs are met. Facilitate cross-functional workshops to align stakeholders on process changes, implementation steps, and responsibilities. Translate business requirements into structured change requests for HQ IT teams, or external local providers. Define functional requirements, expected outcomes, dependencies, acceptance criteria, and test scenarios. Support prioritization of change requests and maintain transparency on timelines and delivery status. Coordinate user acceptance testing (UAT) with local teams and document test results. Ensure system enhancements support process design, reporting, compliance, and operational efficiency. Monitor performance of external systems and service quality, maintaining communication and coordination with external providers (if such). Translate gaps into OCR (Optical Character Recognition)/RPA (Robotic Process Automation) and workflow opportunities. Build business cases with ROI and risk impact. Define data quality rules and reporting requirements Monitor and supervise process implementation across teams, ensuring adoption and operational consistency. Track and manage implementation progress, risks, open issues, and mitigation actions.
