Lead and execute cross‑functional, top‑down Operational Excellence initiatives, including onshore–offshore collaboration when applicable
Conduct end‑to‑end process discovery, walkthroughs, and deep‑dive analyses for operational and support processes
Identify, analyze, and quantify process inefficiencies, performance gaps, and continuous improvement opportunities using advanced analytical techniques
Develop high‑quality deliverables such as process maps, policies, procedures, analytical models, charts, and executive‑level management readouts
Apply Lean Six Sigma, DMAIC, and other improvement frameworks to design and recommend sustainable solutions
Support business process owners in implementing agreed recommendations and change initiatives
Measure, track, and validate benefits realization of Operational Excellence projects
Build and manage strong working relationships with diverse and senior stakeholders across functions and geographies
Actively contribute to Operational Excellence communities of practice, forums, and knowledge sharing by providing best practices, case studies, and insights on new tools and trends
Role‑model organizational values, compliance standards, and governance policies at all times
Requirements
At least 3 years of combined experience in operational management, support functions, or leading process and performance improvement projects within the insurance and/or BPO industry
Minimum 2 years of hands‑on application of Operational Excellence, problem‑solving, and project management methodologies (e.g., Lean, DMAIC, Data Analysis, Agile, Scrum)
At least 2 years’ experience participating in or leading process and performance improvement projects as a Business, Process, or Data Analyst in customer service, back‑office, or shared services environments
Strong expertise in Operational Excellence, process improvement, and problem‑solving methodologies
Advanced data analysis and statistical problem‑solving skills, including use of related tools
Proven ability to influence and engage senior stakeholders through clear communication and data‑driven insights
Excellent verbal, written, and presentation skills
Comfortable working in cross‑functional, matrixed, and multi‑geography environments