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The Principal Data Architect leads the development of the Enterprise Data Strategy and architecture, ensuring alignment between operational and analytical systems while enabling advanced analytics and AI integration across the enterprise.

Support and improve Release Management processes: coordinate release planning and execution, maintain release calendars and documentation, track readiness and approvals, extract and analyze ITSM metrics, identify risks, drive process improvements, and partner with Engineering, DevOps, QA, Infrastructure, Product, and Change Management to ensure controlled, repeatable, compliant deployments.

Lead division-level budgeting, forecasting, and monthly performance reporting. Build and maintain complex financial models, perform variance, profitability, scenario and cost-benefit analyses, drive process improvements, mentor junior analysts, and communicate insights to support strategic business decisions.

Perform division-level budgeting, forecasting, variance analysis, and monthly financial reporting. Partner with business owners and cross-functional teams to build models, deliver insights, support decision-making, and drive process improvements and ad hoc financial analysis.