Director, Business Reporting, Advanced Analytics & AI job opportunity at MasterBrand Cabinets LLC.

Home Jobs In United States Of America Tag: Business Reporting, Advanced Analytics & AI Director, Business Reporting, Advanced Analytics & AI position at MasterBrand Cabinets LLC


Date2026-04-10T13:17:16.060Z bot
MasterBrand Cabinets LLC Director, Business Reporting, Advanced Analytics & AI
Experience: General
Pattern: Full-time
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Business Reporting, Advanced Analytics & AI

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loacation 3300 Enterprise Parkway, Beachwood, Ohio, United States Of America
loacation 3300 Enterpris..........United States Of America
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Job DescriptionWe are seeking a forward-thinking Director of Business Reporting, Advanced  Analytics & AI to serve as the strategic architect and operational leader of our enterprise data-to-value ecosystem. This role will define and execute our vision across Business Intelligence, Data Engineering, andour AI Center of Excellence (CoE).You will lead the transformation from traditional reporting to a modern, AI-powered enterprise, embedding predictive analytics and Generative AI (GenAI) into core business processes. This leader will ensure AI is not just exploratory, but a scalable, governed, and measurable driver of business value.Responsibilities1. AI Center of Excellence (CoE) & GenAI TransformationStrategic AI Roadmap: Lead the design and deployment of the enterprise AI strategy, prioritizing GenAI, LLM integration, and "Agentic" workflows that automate complex business processes.Responsible AI Governance: Establish the framework for ethical AI, including bias mitigation, data privacy, and security protocols in partnership with Legal and Risk teams.Value Orchestration: Develop a "Value Realization" framework to move AI use cases from Proof of Concept (PoC) to full-scale production with measurable ROI.Democratization: Lead the rollout of "AI Copilots" and natural-language querying tools, enabling non-technical users to interact with data conversationally.2. Advanced Analytics & Machine LearningPredictive/Prescriptive Engine: Direct the data science team in building ML models for demand forecasting, supply chain optimization, and churn prediction.Model Lifecycle Management (MLOps): Ensure all models are monitored for "drift" and maintained for long-term accuracy and reliability.3. Enterprise Business Intelligence & ReportingMetric Standardization: Serve as the "Single Source of Truth" gatekeeper, ensuring consistent KPI definitions across global business units.Self-Service Evolution: Transition the organization from "request-and-build" static reports to dynamic, self-service environments using Power BI/Qlik.4. Data Engineering & Cloud Infrastructure (The Foundation)Snowflake Ecosystem: Oversee the architecture and cost-optimization of the Snowflake Data Cloud.Modern Data Stack (MDS): Direct the use of dbt, Talend, and orchestration tools to ensure data is "AI-ready" (clean, labeled, and accessible).5. Strategic Leadership & TalentChange Management: Act as a primary evangelist for data literacy, helping the organization overcome resistance to AI adoption.Team Building: Coach a multidisciplinary team of Data Engineers, BI Developers, and Data Scientists, fostering a culture of rapid experimentation.

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