Scientific Games

Product Analyst

• Drive all Instant Product reporting, forecasting and budgeting tools & processes
• Lead pricing analysis for instant ticket RFPs and ad-hoc commercial opportunities
• Model and monitor internal printing capacity and demand on an ongoing basis
• Evaluate trade-offs between new opportunities and existing contracted demand
• Develop and refine pricing models, including bundled offerings
• Build and maintain competitive intelligence on pricing, product features, and contract terms across key competitors
• Partner with sales, operations, and finance to translate pricing strategy into winning bids
• Conduct post-bid and post-award analysis to refine pricing approaches
• Present pricing recommendations and supporting analysis to commercial leadership

Product Pricing Analyst

Administration

• Administer user identity lifecycle processes/policies including onboarding, provisioning, role changes, and de-provisioning.
• Manage access controls and ensure proper role-based access controls for systems, applications and data.
• Monitor and maintain IAM systems.
• Enforce identity governance policies to ensure least-privilege access.
• Document process and procedures for onboarding and offboarding user accounts.
• Collaborate with cybersecurity teams to support compliance and risk mitigation.
• Investigate and document incidents.
• Manage disaster recovery and practice failovers to backup data centers.
• Daily interaction with internal customers (data centers, QA, and software) as well as peer group relationship.
• System performance analysis including troubleshooting, resolution and reporting of escalated production issues.
• 24/7 On-call support.

IAM Identity Administrator

Full-stack Engineer

• Build new products, prototypes, integrations, and production capabilities tied to strategic business opportunities.
• Work inside existing legacy codebases while improving testability, interfaces, observability, automation, and maintainability.
• Use AI coding tools and agentic workflows to accelerate code generation, test creation, documentation, refactoring, migration work, debugging, and review.
• Turn ambiguous product intent into clear specs, acceptance criteria, interface contracts, examples, test plans, and release criteria.
• Practice disciplined automated testing, including TDD, ATDD, unit tests, integration tests, contract tests, regression tests, and production validation where appropriate.
• Create fast feedback loops through CI/CD, feature flags, preview environments, observability, deployment automation, and production-safe release patterns.
• Partner with product, architecture, QA, DevOps, security, operations, and domain experts to make practical tradeoffs and get work into use.
• Reduce cycle time by removing ambiguity, waiting, brittle test paths, slow reviews, unclear ownership, and avoidable rework.
• Help define how this team works: engineering standards, technical decisions, AI-assisted development patterns, test strategy, and production readiness.
• Share useful patterns with other engineering teams so the work improves more than one product or codebase.

Senior Product Engineer

Data Engineer

• Design, build, and operate reliable data pipelines that move lottery data from operational systems into warehouse and analytics environments.
• Improve ingestion, transformation, modeling, orchestration, observability, data quality, lineage, and access patterns.
• Help define and implement data contracts covering schema, quality, timeliness, lineage, storage, access, and customer or jurisdiction constraints.
• Build repeatable onboarding patterns for new jurisdictions, games, data sources, and reporting needs.
• Partner with DBA, IT, product, application engineering, analytics, BI, and data science teams so source data is usable, trusted, and well-understood.
• Reduce KTLO work through automation, better monitoring, resilient pipeline design, infrastructure as code, and platform simplification.
• Troubleshoot production data issues and help create durable fixes rather than recurring manual workarounds.
• Support the transition from legacy approaches to a more scalable cloud- and AI-ready data architecture while protecting business continuity.
• Mentor other engineers through design reviews, code reviews, documentation, pairing, and clear technical standards.

Senior Data Engineer

Software Engineer

• Build SG’s method for AI-enabled process re-engineering
• Lead current-state diagnostics, constraint analysis, and target workflow design
• Determine where AI should support workflows
• Create reusable templates, governance patterns, and playbooks
• Partner with leaders across various departments
• Communicate progress, risks, and results clearly to senior leadership

Head of AI Process Re-Engineering

• Lead product engineering for strategic new business opportunities, from problem framing through prototype, validation, production readiness, and scale.
• Partner with product and business leaders to decide what is worth building, what should be built first, and how success will be measured.
• Build and lead a small, high-performance engineering team with strong technical judgment, product judgment, ownership, and learning speed.
• Establish an AI-first development model grounded in clear specs, TDD / ATDD, automated testing, fast feedback loops, CI/CD, observability, and production-safe release practices.
• Move quickly inside legacy systems while improving the parts of the platform the team touches: cleaner interfaces, better tests, stronger automation, and less future drag.
• Model a faster, safer product engineering motion for SG by showing how AI-assisted development, strong specs, strong tests, and low cycle time can work together at enterprise scale.

Product Pricing Analyst

IAM Identity Administrator

Senior Product Engineer

Senior Data Engineer

Head of AI Process Re-Engineering

VP, Product Engineering – Software