Additional Information
Scientific Games:
Scientific Games is the global leader in lottery games, sports betting and technology, and the partner of choice for government lotteries. From cutting-edge backend systems to exciting entertainment experiences and trailblazing retail and digital solutions, we elevate play every day. We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation, legendary performance, and unwavering security to responsibly propel the global lottery industry ever forward.
Position Summary
Scientific Games is looking for a senior hands-on leader to build and run a centralized AI-enabled process re-engineering capability.
This leader will help SG improve important work across a focused portfolio of high-value domains. Early areas may include RFP processing, IT / DevOps / integration, software engineering, game art and design, data science, and shared service operations. The role starts with business outcomes and process diagnosis, then moves into workflow redesign, AI-enabled pilots, evaluation, adoption, and scale.
The right person will be strong at understanding how work actually happens. They will be able to sit with teams, map the value chain, identify bottlenecks, clarify decision points, and redesign workflows. They will also understand modern AI well enough to decide when to use retrieval, drafting, summarization, orchestration, review support, simulation, or bounded agentic execution.
This is a senior leadership role with hands-on expectations. The person should be able to operate as a high-impact individual contributor, build a small team, coordinate domain sponsors, direct TPM support, manage external partners where useful, and create reusable methods for SG.
Success will be measured by improved business outcomes, stronger workflows, reusable methods, safer AI adoption, and measurable gains in selected high-value processes.
Core 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.
Experience that Fits
The role should require substantial experience across process improvement, operations, product, engineering, consulting, AI transformation, or enterprise technology. A reasonable target is 12+ years, with evidence of leading cross-functional change and delivering measurable results.
The person should understand value-stream thinking, bottleneck analysis, workflow redesign, operating model change, and adoption. They should be credible with modern AI concepts including LLMs, retrieval, agentic workflows, orchestration, human-in-the-loop design, evaluation, observability, and guardrails. They do not need to be the deepest engineer in the room, but they must be technical enough to challenge architecture, vendor claims, and implementation plans.
They should be able to write clearly. This matters because the work will involve ambiguous problems, cross-functional decisions, and senior stakeholders. A leader who cannot turn complexity into clear language will struggle to create alignment.
Sglottery · Alpharetta, GA