Director, Business Reporting, Advanced Analytics & AI

For more than 70 years, MasterBrand has been shaping the places where people come together, enriching lives and creating meaningful memories for our customers.

We are the #1 manufacturer of residential cabinets in North America, and our associates produce the most comprehensive portfolio of superior cabinetry products for the kitchen, bath and other parts of the home.

Come see why our associates love working at MasterBrand.

Job Description:

Job Summary

The Director is the strategic architect and operational leader of the enterprise’s data-to-value pipeline.

This role is responsible for the vision, governance, and execution of Business Intelligence, Data Engineering, and—most critically—the AI Center of Excellence (CoE).

You will lead the transition from traditional descriptive reporting to a future-state ecosystem of predictive modeling and Generative AI (GenAI) integration, ensuring that AI is not just a pilot, but a scalable driver of business value.

Key Accountabilities

1.

AI Center of Excellence (CoE) & GenAI Transformation (High Priority)


* Strategic 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 Learning


* Predictive/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 & Reporting


* Metric 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 & Talent


* Change Management: Act as a primary evangelist for data literacy, helping the organization overcome resistance to AI adoption.


* Team Building: Coach a multidiscip...