Head of AI Process Re-Engineering

Scientific Games is the global leader in lottery games and sports betting technology, seeking a senior leader for AI-enabled process re-engineering. This role involves building capabilities to improve workflows across high-value domains, utilizing AI for diagnostics, workflow redesign, and process improvement.

Responsibilities:

• Build SG’s method for AI-enabled process re-engineering
• Select and shape high-value opportunities with executive sponsors
• Lead current-state diagnostics, constraint analysis, and target workflow design
• Determine where AI should support retrieval, drafting, orchestration, review, decision support, or bounded execution
• Lead controlled pilots with baselines, evaluation plans, human review models, and rollout criteria
• Create reusable templates, governance patterns, architecture patterns, and playbooks
• Partner with leaders across product, engineering, IT, data science, creative, sales, finance, legal, and operations
• Select and manage external partners where they accelerate the work or add specialized capability
• Communicate progress, risks, decisions, and results clearly to senior leadership

Requirements:

• Substantial experience across process improvement, operations, product, engineering, consulting, AI transformation, or enterprise technology
• 12+ years of experience with evidence of leading cross-functional change and delivering measurable results
• Understanding of value-stream thinking, bottleneck analysis, workflow redesign, operating model change, and adoption
• Credibility with modern AI concepts including LLMs, retrieval, agentic workflows, orchestration, human-in-the-loop design, evaluation, observability, and guardrails
• Technical enough to challenge architecture, vendor claims, and implementation plans
• Ability to write clearly to turn complexity into clear language for alignment
• Clear thinking, curiosity about work, strong writing, practical AI fluency, process discipline, executive influence, comfort with ambiguity, and the ability to turn messy problems into operating plans
• Senior process transformation leader with modern AI depth
• AI product/solution leader with deep business process instincts
• Senior consultant or former consultant who has led practical transformation work and can operate inside a company with accountability for outcomes