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 advantages, 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 Qualified 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

📌 Lean Ninja Professional (Bengaluru)
🏢 Infosys
📍 Bengaluru