Lean Ninja Professional

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