• Own SMB methodology strategy across formation, banking, accounting, payroll, payments, communications, HR, lending and business operations software. • Define clear, defensible evaluation frameworks that reflect SMB user needs, market realities and update cadence. • Shape proprietary SMB metrics and structured datasets for rankings, editorial use and potential data products. • Define research and data collection requirements; partner with testing, data and research teams to ensure evidence quality. • Establish quality standards for SMB methodologies, scoring models, documentation and analyst work. • Mentor analysts and serve as the internal SME for SMB market dynamics, methodology design, and data quality. • Partner with editorial, SEO, product, commercial, testing and data teams to translate methodology into credible rankings and scalable data products.

• Lead day-to-day execution of the Large Form Factor MDC product line, with accountability for delivery • Execute against the segment strategy set with the GM of Form Factors, ensuring alignment with Armada's broader platform and growth objectives. • Establish operating rhythms, KPIs, and accountability mechanisms to drive predictable execution. • Provide input to the GM on pricing, investment prioritization, capacity planning, and scaling strategy. • Lead end-to-end product development, including system architecture, mechanical/electrical design, thermal systems, integration, and certification. • Ensure designs are manufacturable, scalable, cost-optimized, and compliant with global standards (UL, IEC, NEC, ISO, etc.). • Drive standardization and modularity while maintaining flexibility to meet customer-specific requirements. • Balance innovation velocity with reliability, quality, and time-to-market. • Manage manufacturing operations for large-scale modular data center systems, including execution of factory strategy (internal and external), capacity scaling, and throughput optimization with partners. • Build and scale repeatable production processes, ensuring quality, schedule adherence, and cost control. • Partner with supply chain leadership on sourcing and execution for long-lead and critical components (power, cooling, steel, switchgear, IT infrastructure). • Implement strong quality management systems, root-cause analysis, and continuous improvement programs. • Drive operational readiness for rapid growth while maintaining delivery excellence. • Translate customer demand and pipeline signals into executable production, staffing, and capital plans. • Partner closely with Sales, Finance, Legal, Supply Chain, and Program Management to execute complex customer deployments. • Oversee contract execution, delivery commitments, risk management, and change control. • Drive scalable business processes across quoting, cost modeling, order management, and delivery. • Collaborate with and mentor peers across engineering, manufacturing, and operations to drive high performance. • Contribute to a culture of ownership, urgency, accountability, and operational excellence. • Support hiring efforts to bring in strong technical and operational talent for a world-class modular infrastructure product line.

• Nos ajude a desenhar a solução! • Se você gosta de trabalhar com desenvolvimento, aprecia muito desafios, curte implementar soluções baseadas em boas práticas e topa trabalhar em times que respeitam quem você é e as suas opiniões, você está MUITO perto de integrar nosso time DB.

• Design, develop, and implement graph-based analytics solutions supporting fraud detection and investigative analysis. • Use graph databases and network analysis techniques to identify hidden relationships, patterns, and connections across entities. • Develop graph models representing individuals, organizations, transactions, accounts, programs, and other relevant entities. • Apply graph algorithms involving centrality, community detection, link analysis, path analysis, clustering, and anomaly detection. • Integrate graph analytics with machine learning, statistical analysis, and other advanced analytic methods. • Analyze structured, semi-structured, and unstructured data from public, non-public, and commercial sources. • Support entity resolution, identity matching, relationship mapping, and risk-scoring activities. • Develop and refine fraud-detection models, rules, and investigative use cases. • Collaborate with investigators and analysts to translate operational and investigative needs into graph analytics solutions. • Build visualizations, link charts, dashboards, and other work products that clearly communicate complex relationships. • Support the development, testing, validation, and deployment of graph analytics models and applications. • Evaluate model performance and recommend adjustments to improve accuracy, scalability, and usefulness. • Document methodologies, data sources, assumptions, model designs, findings, and limitations. • Participate in technical reviews, quality-control activities, and project demonstrations. • Present analytical findings and recommendations to technical and non-technical stakeholders. • Support the maintenance and improvement of deployed graph analytics solutions.