Lean Ninja Professional

Job description

**Educational Requirements** Bachelor of Engineering **Service Line** Quality **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 **Additional Responsibilities:** - Identified and prioritized Lean, automation and GenAI opportunities with quantified baseline and expected benefit. - Improved process flow, productivity, quality, cycle time and client / employee experience in assigned portfolios. - Reusable assets that improve speed of diagnosis, solutioning and adoption across programs. - Sustained adoption through governance, dashboards and control plans. **Technical and Professional 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. **Preferred Skills:** - Foundational->Quality models/improvement frameworks->Lean based improvement methodology - Foundational->Six Sigma->Master Black Belt - Technology->AI-Generative AI->Generative AI - Basic