Senior Process Excellence Engineer/AI Coordinator

Light & Wonder is seeking a highly skilled and results-driven Senior Process Excellence Engineer to serve as a dual-role leader — driving Lean transformation across the full enterprise value stream while simultaneously coordinating and managing AI-enabled continuous improvement initiatives. This is a senior individual contributor and project leadership role that will partner with Operations, Finance, HR, Accounting, Procurement, and Technology teams to eliminate waste, accelerate throughput, and embed a culture of sustainable operational excellence. The ideal candidate brings deep expertise in Lean methodology, facilitation, and Value Stream Mapping, combined with a working knowledge of agentic AI tools and intelligent automation. They will have a proven track record of leading large-scale, cross-functional deployments from strategy through sustainment — and will be comfortable operating across organizational boundaries at all levels of the business.

• Lead end-to-end Lean transformation initiatives across all value stream functions including Operations, Finance, HR, Accounting, and Procurement.
• Design, facilitate, and execute workshops to identify and prioritize improvement opportunities across current and future state maps.
• Drive Kaizen events, rapid improvement workshops, and structured problem-solving activities (A3, DMAIC, 8D) at multiple organizational levels.
• Coach and mentor cross-functional teams, front-line staff, and leadership on Lean principles, waste identification, and continuous improvement culture.
• Establish and track KPIs and performance metrics to validate the impact of Lean initiatives and ensure sustained results.
• Serve as the AI Coordinator for the Process Excellence function — identifying opportunities to integrate AI tools, machine learning models, and agentic workflows into improvement projects.
• Leverage working knowledge of agentic AI platforms to prototype, pilot, and scale intelligent automation solutions that complement Lean improvements.
• Manage a portfolio of concurrent process improvement and AI-enabled projects using structured portfolio and project management frameworks (PMI, Agile/hybrid).
• Develop project charters, roadmaps, resource plans, risk registers, and communication plans for large-scale transformation programs.
• Track and report on project status, milestones, and business outcomes to senior leadership and executive sponsors.
• Partner with IT, Data, and Digital teams to ensure AI tool integration aligns with enterprise architecture, data governance, and compliance standards.
• Design and lead highly effective facilitation sessions with diverse stakeholder groups ranging from front-line employees to C-suite executives.
• Build and maintain strong relationships across Operations, Finance, HR, Accounting, Procurement, and Technology to ensure alignment and sponsorship.
• Champion a culture of psychological safety, collaborative problem-solving, and accountability within improvement teams.
• Develop training materials, playbooks, and standard work documentation to institutionalize process excellence capabilities across the organization.

• Bachelor’s or Master’s degree preferred.
• Lean certification and/or Six Sigma Black Belt (LSSBB) certification required; Master Black Belt (MBB) designation a strong plus.
• Minimum of 5–10 years of progressive experience in process excellence, continuous improvement, or operational transformation roles.
• Demonstrated experience leading large-scale, enterprise-wide Lean deployments involving multiple business functions, geographies, and hundreds of stakeholders.
• Proven track record of leading Lean transformation beyond Operations — must include documented results in transactional and administrative functions such as Finance, HR, Accounting, and Procurement.
• Experience leading and developing cross-functional teams in a matrixed organization, including influencing without direct authority.
• Experience managing a project portfolio simultaneously, balancing resources, priorities, and executive stakeholder expectations.
• Hands-on experience with AI tools such as large language models, agentic automation frameworks, or machine learning operations (MLOps) platforms.
• Experience implementing Lean management systems (e.g., Obeya, real-time KPI dashboards, AI-augmented daily management).
• Experience with ERP systems (SAP, Oracle, or equivalent) and understanding of system-related process improvement constraints.
• Strategic mindset and strong business acumen, with the ability to identify priority value opportunities by leveraging exceptional problem-solving and decision-making skills.