Senior Manager, Engineering Process Excellence & AI Automation

Overview

Lead enterprise engineering process improvement and embed AI automation across product development.

Key Responsibilities

• ai lifecycle
• plm integration
• tool design
• process improvement
• portfolio planning
• governance

Tasks

-Negotiation & Conflict Resolution: Handles competing priorities (business units vs. enterprise standards) diplomatically while maintaining governance integrity. -Connect to portfolio & profit planning. Tie process excellence to budget priorities; partner with Program/Portfolio management to prioritize initiatives and make benefits realization visible. -Lead continuous improvement. Use Design for Six Sigma (DFSS), Advanced Product Quality Planning / Production Part Approval Process (APQP/PPAP), Product Design Scorecard (PDSC), and data driven methods to raise capability, yield, and speed; standardize what works and retire what doesn’t. -Align with the digital thread. Synchronize process changes with PLM (Enovia)/EIM/MBSE roadmaps; quantify productivity impact from data/automation. -Coaching & Mentoring: Guides functional leaders and mentors EFE team members in Pune to build capability and sustain adoption. -Own the standard process. Maintain and improve enterprise standard work for product development execution (e.g., Eaton PROLaunch 2.0), including governance structures (steering committees, standard work councils), decision rights, training, and readiness/audit mechanisms. -Lead through influence. Stand up communities of practice; coach functional leaders; mentor EFE team members in Pune; drive communications and change management for adoption and sustainment. -Embed AI as the next phase. Drive an AI capability lifecycle (discover → design → pilot → scale → improve) for business processes (plan/review workflows, quality artifacts, knowledge retrieval, governance reporting), with clear guardrails for safety, risk, cost, and value—in tight partnership with IT. Scope excludes design automation (CAD/FEA/simulation), owned by Digital Engineering; ensure robust collaboration/handshakes. -Create what markets don’t provide. When needed, design lightweight tools (e.g., Product Design Scorecard, Activity Matrix) to close process/governance gaps and scale across businesses.

Requirements

• dfss black belt
• ai automation
• master's degree
• 10+ years
• plm/pdm
• cross-cultural

What You Bring

-International and domestic travel will be required -Record of multi site/global deployment with measurable enterprise impact (productivity, quality, speed). -Minimum 5 years of experience leading projects/programs/transformations within a complex, multinational company setting -Minimum 5 years leading programs or enterprise initiatives across the end to end process (VOC, business case, development/verification, New Product Development, sourcing/APQP, launch, VA/VE). -DFSS Black Belt or Master Black Belt preferred. -Data & Connectivity (at a high level): Know the concept of data flow between systems and why clean, structured data matters. Understand limits of automation (e.g., when human judgment is still required). -Minimum of 10 years of experience engineering product development of systems relevant to Eaton (electro mechanical, power electronics, embedded/software, or industrial systems) -AI & Automation Awareness: Understand what AI can and cannot do for business processes (e.g., automating document reviews, generating summaries, improving reporting). Ability to identify opportunities for automation and evaluate feasibility with IT partners. Awareness of risks and guardrails (data privacy, accuracy, human oversight). -Critical Thinking & Problem Solving: Ability to diagnose systemic issues, prioritize improvements, and balance risk vs. value in AI initiatives. Comfortable making decisions with incomplete data. -For candidates in the US: Eaton will not consider applicants for employment immigration sponsorship or support for this position. This means that Eaton will not support any CPT, OPT, or STEM OPT plans, F-1 to H-1B, H-1B cap registration, O-1, E-3, TN status, I-485 job portability, etc. -Collaboration & Cross-Cultural Agility: Works effectively with global teams (US, Europe, Pune) and across functions (IT, Digital Engineering, Program Management). Sensitivity to cultural differences and time zones. -Executive Presence & Credibility: Communicates confidently with senior leaders; demonstrates business acumen and technical depth without jargon overload. -Adaptability & Learning Agility: Open to emerging technologies and evolving governance models. Can pivot quickly when pilots reveal new insights or constraints. -Quality & Continuous Improvement: Design for Six Sigma (Black Belt level) and problem-solving tools. Familiarity with risk management (FMEA), quality planning, and verification/validation practices. -Certification in AI/automation of business processes (intelligent workflow, agentic orchestration, or similar) preferred -Strong business acumen (portfolio trade offs, Budgeting, benefits realization). -Minimum 10 years of professional product engineering experience -Master’s degree in Engineering or related from an accredited institution. -Proven outcomes in AI/automation of business processes (intelligent workflow, agentic orchestration, or similar), with governance experience. -Strategic Influence & Stakeholder Management: Ability to gain buy-in across businesses without direct authority. Skilled at building coalitions (steering committees, standard-work councils) and aligning diverse priorities. -Product Development & Process Governance: Solid grasp of product development frameworks (stage-gate or similar) and how to maintain standard processes. Ability to govern process adoption: readiness checks, decision rights, and compliance. -Change Leadership & Communication: Comfort leading enterprise-wide change and explaining “why” behind process and AI adoption. Strong storytelling to translate technical concepts into business value for executives and engineers. -Digital Toolchain Basics: Working knowledge of product lifecycle tools (PLM/PDM) and how process changes connect to them. Enough understanding to discuss integration points with IT without needing to code.

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About Eaton

-global leader in power management, providing energy-efficient solutions for managing electrical, hydraulic, and mechanical power. -products and services span across industrial, commercial, residential, and infrastructure markets. -innovative solutions in energy storage, electrical distribution, and industrial automation. -instrumental in advancing technologies for utilities, transportation, and energy management. -recent standout projects include large-scale energy management systems for smart cities and utilities. -systems are crucial for sectors ranging from renewable energy to water resources management. -history of growth through acquisitions, continuously expanding global footprint and product offerings.

Sector Specialisms

Visa Sponsorship

-eaton will not consider applicants for employment immigration sponsorship or support. -no cpt, opt, stem opt, h-1b, o-1, e-3, tn, or i-485 job portability support.

Security Clearance

-background check occurs after a conditional job offer is made. -candidates may disclose conviction history after the conditional offer.