Lean Ninja - JL6 Professional

Educational Requirements

Bachelor of Engineering

Service Line

Quality

Responsibilities

Independently lead portfolio-level Lean, value stream and opportunity discovery interventions, translating current-state waste, bottlenecks and variability into AI-first future-state operating models. Create and govern transformation roadmaps that combine Lean, Six Sigma, GenAI, process transformation RPA / workflow automation, analytics, dashboards and change adoption. Act as SME and advisor to senior leadership, process excellence leaders, project leaders, sponsors and practitioners on Lean, Six Sigma and AI-enabled process transformation. Build, pilot and institutionalize scalable frameworks, toolkits, assessment models, prompt libraries, value stream templates, automation qualification logic and governance assets. Help allocated units meet YOY efficiency, client value and quality commitments through structured benefit realization, controls and adoption management. Lead knowledge management for the Lean repository and continuously upgrade it with standardized, reusable and AI-enabled assets. Convert intervention and operational data into insights, themes, executive narratives and action plans using dashboards, analytics and stakeholder review cadences. Ensure responsible, secure and human-centered use of GenAI and automation by embedding risk checks, usage guardrails, validation loops and adoption readiness into solution design.

Technical and Professional Requirements:

Strong understanding of Waterfall, Agile, SAFe, ITIL, ITSM and project / service management tools; ability to tailor Lean interventions to delivery context. Working knowledge of GenAI-enabled productivity, prompt engineering basics, knowledge workflows, AI-assisted analysis, workflow automation and automation qualification. Ability to define Lean + automation + GenAI operating models, including opportunity pipeline, prioritization, business case, controls, metrics, ownership and adoption plan. Advanced problem solving, statistical thinking, data storytelling and data visualization; Power BI and analytics toolkit exposure preferred. Strong senior stakeholder management, consulting orientation, facilitation, executive communication and change management capability. Awareness of responsible AI principles, risk management, data privacy, security and human-in-the-loop validation for AI-assisted process changes.

Preferred Skills:

• Foundational->Quality models/improvement frameworks->Lean based improvement methodology
• Foundational->Six Sigma->Master Black Belt
• Technology->AI-Generative AI->Generative AI - Basic