BetMGM

• Serve as a critical strategic partner across Customer Care, Risk and Payments, and Fraud Operations. • Support a diverse set of specialized functions that are integral to operational success. • Drive clarity, efficiency, and scalability by defining process standards, ensuring compliance, managing knowledge systems, and enabling consistent communication across functions. • Assist in process definition, alignment, and optimization across Care, Risk and Payments Operations. • Serve as the process owner for multiple operational workflows, driving continuous improvement and consistency. • Make high-impact decisions regarding tooling needs, process rollout, and stakeholder alignment in cross-functional environments. • Map and maintain end-to-end workflows with full accountability for their design, governance, and accuracy. • Maintain and evolve a comprehensive knowledge base that supports real-time operations across multiple verticals. • Ensure the seamless flow of accurate, up-to-date, and actionable information through standard messaging, internal documentation, and communications tools. • Drive readiness for internal and external audits through meticulous documentation, real-time updates, and compliance tracking. • Partner with Strategy, Product, Tooling, Training and QA teams to influence roadmaps, test operational tools, and close the gap between process design and execution.

• Responsible for delivery of actionable insights and analysis in response to key business questions • Support the key Brand and Marketing teams, providing day-to-day reporting and analytics • Analyze data from both internal and external sources to support business objectives • Provide campaign analysis and enable data driven marketing decisions across the marketing teams • Handle both day-to-day reactive operational requirements and larger complex projects while being able to meet deadlines • Build and maintain datasets, reports and dashboards

• Own the path from raw transactional and event data to trustworthy, well-modeled datasets powering BetMGM's analytics, ML, and operational systems. • Design, build, and operate batch, micro-batch, and streaming pipelines feeding Snowflake — Prefect-orchestrated flows on ECS Fargate, dbt for transformation, Snowpipe Streaming and Kafka for event ingestion. • Own the full dbt lifecycle (sources → staging → intermediate → marts) with model contracts, freshness SLAs, automated tests, and version-controlled documentation. • Stand up Snowflake objects (warehouses, RBAC, resource monitors, Dynamic Tables, Iceberg tables) through Terraform — no ClickOps in production. • Build AWS-native infrastructure for data workloads — S3, ECS Fargate, Lambda, EMR Serverless, Glue Catalog, IAM, Secrets Manager, VPC endpoints — entirely in Terraform. • Maintain CI/CD pipelines (GitLab CI or GitHub Actions) that gate every change with linting, dbt build, unit tests, contract checks, and AI-assisted code review. • Tune warehouse sizing, clustering, and query patterns for cost and latency; instrument credit usage via ACCOUNT_USAGE; right-size before scaling up. • Design RBAC, masking policies, and row-access policies that satisfy a regulated operator without becoming an access bottleneck. • Own freshness SLAs and data contracts for the gold layer; configure Monte Carlo coverage for volume, freshness, schema, and distribution; triage incidents end-to-end. • Collaborate with analytics engineers, data scientists, and ML platform engineers on shared standards (naming, testing, observability, lineage, cost attribution).

• Stand up and operate BetMGM's ML platform on AWS (SageMaker Training, Model Registry, Pipelines, Endpoints, Batch Transform) and Snowflake (Snowpark ML, Cortex), with Terraform-managed infrastructure. • Build self-service scaffolds that let data scientists ship a model end-to-end without a ticket queue — cookie-cutter project templates with CI, drift monitoring, alerting, IaC, and Snowflake connectivity pre-baked. • Design and operate batch scoring pipelines — SageMaker Batch Transform, dbt-orchestrated scoring against Snowflake, Snowpark ML — with explicit freshness and cost SLAs. • Design and operate real-time inference paths — SageMaker real-time endpoints, Lambda + Bedrock for GenAI, API Gateway — with stated latency budgets (typically sub-100ms) and graceful degradation under load. • Own the feature store (SageMaker Feature Store, Tecton, or Feast) with guaranteed online/offline parity — training-serving skew is treated as an incident, not a tradeoff. • Build CI/CD for ML — model registry, automated retraining triggers, model versioning, lineage from feature → training run → deployed model → live prediction. • Implement champion/challenger, shadow deployments, and canary releases as platform primitives so individual model teams do not reinvent them per project. • Stand up drift detection, data quality, and model performance monitoring (Evidently, Arize, or SageMaker Model Monitor — pick one and standardize) with paging that routes to humans who can fix it. • Own MLOps incident response — production model failures are SEV events with postmortems. • Right-size endpoints, batch caching, request batching, and autoscaling. State cost-per-prediction targets up front and meet them. • Integrate LLM APIs (Bedrock, Anthropic, OpenAI) into production paths — RAG pipelines, agent eval frameworks, prompt versioning, cost and latency observability.

• Monitor player gameplay activity, deposits and withdrawals to identify suspicious or potentially fraudulent emerging patterns and recommend fraud prevention strategies. • Utilize various data sources to design, test and implement effective fraud prevention rules. • Assist in tuning existing fraud detection rules and thresholds to reduce false positives while improving detection rates. • Conduct root cause analysis on fraud trends and recommend preventative measures and process enhancements. • Support the ongoing optimization of chargeback prevention and representment processes. • Collaborate closely with the Operations teams to resolve emerging fraud rings and enforce account actions (i.e., suspension, closure, etc.). • Analyze betting patterns to detect irregular gameplay, arbitrage betting and coordinated activity between accounts. • Design and build effective dashboards to support the monitoring of key fraud KPIs.

• Responsible for leading the development and delivery of actionable insights and analysis in response to key business questions across bonus, VIP, trading, promotions, etc. • Efficiently manage and deliver multiple short- and long-term projects at pace • Lead the analytics strategy within the Sports Analytics team in collaboration with the Sports SLT • Present analytical findings and strategic recommendations clearly to senior leadership, translating quantitative outputs into actionable business narratives • Build and maintain a range of complex datasets, reports and dashboards • Lead analytical work to measure, evaluate and optimize bonus and promotional spend • Design and evaluate controlled experiments (A/B and multivariate tests) to drive incremental business value • Build agents and automations to automate manual tasks and processes • Mentor junior analysts and contribute to a rigorous, high-performance analytics culture

• Manage daily finance reconciliations across multiple channels and states • Develop a strong understanding of BetMGM’s revenue cycle and reporting process • Assist the Revenue Accounting team in performing month end reconciliations • Identify reconciling financial differences and take ownership of daily investigations • Work closely with the Business Intelligence team during variance investigations • Work closely with the Risk, Trading and Customer Operations teams during investigations • Provide support on all internal and external audit requests • Provide support to the wider finance team with ad-hoc requests as required

• Responsible for leading the development and delivery of actionable insights and analysis in response to key business questions • Work within a sprint structure to accomplish both short and long-term projects, to keep on track with deadlines and continue to push the business forward • Interface with internal stakeholders regularly to identify areas of focus within the business • Design, build, and maintain scalable ETL pipelines, data models, and data-as-a-service solutions to support analytics and business needs • Conduct deep-dive analyses using SQL, Python, R, or other analytical tools to generate actionable insights and support decision-making • Manage and maintain codebases through Git version control, ensuring best practices for collaboration, documentation, and deployment

• Responsible for leading the development and delivery of actionable insights and analysis in response to key business questions • Efficiently manage multiple short- and long-term projects to keep on track with deadlines and continue to push the business forward • Support the key Brand and Marketing teams, providing day-to-day reporting and analytics • Interface with internal and external stakeholders regularly to identify areas of focus within the business • Handle both day to day reactive and proactive operational requirements and larger complex projects while being able to meet deadlines • Building and maintaining datasets, reports and dashboards

• Own and execute testing efforts for assigned features, products, or integrations • Ensure coverage of functional, exploratory, and regression testing needs • Collaborate with Technical Managers, Product Managers, and cross-functional teams to define testing scope, risks, and acceptance criteria for features and releases • Perform application and platform testing on in-house and third-party integrations based on regulatory and technical requirements • Design, implement, and maintain manual test cases and applicable automated tests • Lead investigation, reproduction, and analysis of complex defects • Clearly document issues with actionable detail, traceability, and context • Review, reproduce, and validate issues raised by external testing entities or partners • Proactively identify quality risks, gaps in coverage, or process inefficiencies and propose practical improvements • Mentor junior testers.