Lean Ninja - JL6

• Independently drive portfolio-wide Lean, value stream, and opportunity discovery engagements, transforming current-state waste, bottlenecks, and variability into AI-first future-state operating models.

• Design, govern, and maintain end-to-end transformation roadmaps that integrate Lean, Six Sigma, GenAI, process transformation RPA / workflow automation, analytics, dashboards, and change adoption.

• Serve as a subject matter expert and trusted advisor to senior leadership, process excellence leaders, project leaders, sponsors, and practitioners on Lean, Six Sigma, and AI-enabled process transformation.

• Develop, pilot, and scale institutionalized frameworks including toolkits, assessment models, prompt libraries, value stream templates, automation qualification logic, and governance deliverables.

• Support assigned units in achieving YOY efficiency, client value, and quality commitments through structured benefit realization, control mechanisms, and adoption management.

• Own knowledge management for the Lean repository and continuously enhance it with standardized, reusable, and AI-enabled assets.

• Translate intervention and operational data into actionable insights, themes, executive narratives, and plans by leveraging dashboards, analytics, and recurring stakeholder review cadences.

• Ensure responsible, secure, and human-centered deployment of GenAI and automation by incorporating 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->Project Management->Level 3

Educational Requirements: Bachelor of Engineering