This position involves driving financial strategy across the Americas region, providing critical guidance for operational excellence and financial oversight. Provide financial leadership for AMER Operations. Act as the financial steward, offering analysis and recommendations to senior management. Supervise the financial management of three manufacturing plants ensuring alignment with targets. Develop clear financial strategies to support regional operational excellence. Drive productivity and cost-efficiency in partnership with operations. Measure and report on productivity KPIs and cost-saving initiatives.

As a Staff Analytics Engineer, you are the technical authority for Engine’s data ecosystem. You will lead the transition from a monolithic legacy environment to a sophisticated, multi-project Medallion Architecture. This role is designed for a high-level Individual Contributor (IC) who thrives on solving "unsolvable" spaghetti-code problems and establishing the engineering standards that allow our entire data org to move faster, with higher trust. Architectural Overhaul: Lead the design and execution of a massive migration from 1,200+ legacy dbt models into a modular, three-project Medallion structure (Bronze, Silver, Gold). Systems Governance: Define the "Engine Standard" for data contracts, naming conventions, and testing frameworks. You aren't just following a process; you are building the process others will follow. Performance & Scalability: Partner with the Principal Engineer to optimize our Snowflake footprint. You will identify systemic inefficiencies in our DAGs and warehouse usage to drive down costs while increasing query speed. Technical Mentorship: Act as a force multiplier for the team. You will lead high-level design reviews, provide "Staff-level" feedback on PRs, and elevate the technical bar for our Senior and Mid-level engineers. Strategic Partnership: Bridge the gap between Engineering and Business. You’ll ensure our infrastructure supports long-term growth (3–5 years out) without compromising the day-to-day execution speed of our analysts.

CyberData Technologies is seeking a highly analytical and detail-oriented Modeling and Simulation Specialist to support evaluation, research, and data analysis efforts for diabetes prevention programs led by the Centers for Disease Control and Prevention (CDC). This position plays a key role in designing applied research methods, developing statistical models, managing large datasets, and simulating outcomes to evaluate the impact of chronic disease prevention interventions, particularly for the National Diabetes Prevention Program (National DPP). The ideal candidate will combine technical acumen with strong statistical and public health expertise, enabling the delivery of high-impact insights that inform national policy and program improvement. Applied Research & Evaluation Design Develop methodologies to assess the effectiveness and utilization of diabetes prevention interventions. Design and implement data collection instruments for both quantitative and qualitative data (e.g., focus groups, interviews, surveys). Analyze evaluation and implementation data using advanced statistical and modeling techniques to generate insights for decision-making. Prepare concept papers, reports, manuscripts, and detailed recommendations for improving program design and delivery. Identify best practices and formulate data-driven policy recommendations for national translation efforts, including the National DPP and Diabetes Self-Management Education programs. Develop methodologies to assess the effectiveness and utilization of diabetes prevention interventions. Design and implement data collection instruments for both quantitative and qualitative data (e.g., focus groups, interviews, surveys). Analyze evaluation and implementation data using advanced statistical and modeling techniques to generate insights for decision-making. Prepare concept papers, reports, manuscripts, and detailed recommendations for improving program design and delivery. Identify best practices and formulate data-driven policy recommendations for national translation efforts, including the National DPP and Diabetes Self-Management Education programs. Statistical Analysis, Modeling & Data Simulation Conduct advanced data modeling and simulation to evaluate diabetes risk factors, program outcomes, and potential policy impacts in underserved communities. Design and maintain relational databases for data storage, manipulation, retrieval, and quality control across multiple platforms and networks. Write custom programs in SAS, SQL, R, and other statistical tools to automate data processing, generate reproducible analytics, and produce Standard Operating Procedures (SOPs). Collaborate with evaluators, statisticians, and program stakeholders to define evaluation questions, build scalable data pipelines, and ensure rigorous methodology. Conduct advanced data modeling and simulation to evaluate diabetes risk factors, program outcomes, and potential policy impacts in underserved communities. Design and maintain relational databases for data storage, manipulation, retrieval, and quality control across multiple platforms and networks. Write custom programs in SAS, SQL, R, and other statistical tools to automate data processing, generate reproducible analytics, and produce Standard Operating Procedures (SOPs). Collaborate with evaluators, statisticians, and program stakeholders to define evaluation questions, build scalable data pipelines, and ensure rigorous methodology. Data Visualization & Dissemination Create compelling visualizations (dashboards, charts, GIS maps, motion graphics) using Tableau, SAS Visual Analytics, and ArcGIS. Summarize findings into user-friendly products for internal staff, CDC leadership, and external stakeholders. Present research at local, regional, and national conferences, contributing to the national evidence base on diabetes prevention and public health modeling. Create compelling visualizations (dashboards, charts, GIS maps, motion graphics) using Tableau, SAS Visual Analytics, and ArcGIS. Summarize findings into user-friendly products for internal staff, CDC leadership, and external stakeholders. Present research at local, regional, and national conferences, contributing to the national evidence base on diabetes prevention and public health modeling.

• Deliver accurate and timely consolidated financial forecasts, identifying risks, opportunities, and key business drivers • Coordinate with Reporting & Analytics teams to ensure consistent definitions, robust dashboards, and high-quality financial reporting across all levels of the organization • Drive process simplification, automation, and tool enhancements (e.g., planning platforms, data models) • Ensure data integrity, version control, and governance across financial plans and models • Other duties as assigned by manager.