Lean Ninja

The Lean Ninjas team drives AI-first process excellence by combining Lean, Six Sigma, value stream management, GenAI, automation and data-led transformation across programs and enterprise functions. The role partners with delivery, quality, automation and business stakeholders to identify non value adds, reimagine workflows, build reusable Lean/AI assets, and accelerate measurable productivity, client value and experience outcomes. Technical Requirements: • Hands-on Lean / Six Sigma improvement experience; Green Belt / Black Belt preferred. • Working understanding of Agile, ITIL / SDLC ways of working and service delivery operating models. • Ability to use data for baseline, root-cause analysis, prioritization and benefit measurement; exposure to AI platforms, Power BI, Python or equivalent analytics tools preferred. • Familiarity with GenAI use cases such as knowledge search, summarization, workflow assistance, prompt patterns, decision support and automation enablement. • Ability to translate process pain points into automation / AI opportunity /Process Improvement charters with clear outcomes, risks, controls and adoption needs. • Strong problem solving, stakeholder communication, change adoption and storytelling skills. Responsibilities: • Execute targeted Lean diagnostics, value stream mapping and opportunity identification for assigned programs, with emphasis on cycle-time reduction, defect reduction, productivity improvement and experience uplift. • Use GenAI, Copilot-style productivity patterns, automation discovery and analytics to reimagine current-state processes into AI-assisted future-state workflows. • Support design and pilot of Lean + GenAI + automation solutions, including problem statements, business cases, benefit hypotheses, adoption plans and control mechanisms. • Contribute reusable playbooks, prompts, checklists, value stream templates, dashboards and knowledge assets to the Lean repository. • Partner with process owners and delivery teams to track benefits, adoption, risks and sustainment through visual management and governance cadence. • Promote responsible AI adoption by ensuring transparency, human-in-the-loop validations, privacy awareness and appropriate usage controls in proposed interventions. • Focus on Continuous improvement in the offerings Preferred Skills: Foundational->Quality models/improvement frameworks->Lean based improvement methodology,Foundational->Six Sigma->Master Black Belt,Technology->AI-Generative AI->Generative AI - Basic