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.

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

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.

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.

Education

Bachelor of Engineering