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 multidisciplinary team of Data Engineers, BI Developers, and Data Scientists, fostering a culture of rapid experimentation.

Knowledge, Skills & Abilities

Technical Skills & Ecosystem Fluency

Enterprise Integration (Oracle & Salesforce): Ability to lead strategies that harmonize back-office data (Oracle ERP) with front-office insights (Salesforce) and other legacy ERP to create a unified "Customer 360" view.

Data Fabric Strategy: High-level understanding of Data Fabric principles to ensure data flows seamlessly across our Snowflake cloud, Oracle, Salesforce, and legacy systems without creating new silos.

Snowflake AI Data Cloud: Strategic oversight of Snowflake as the enterprise engine for both traditional BI and emerging AI/ML workloads.

Modern Data Tooling: Familiarity with the roles of dbt, Talend, and Power BI/Qlik in the data lifecycle to ensure team output is scalable and governed.

AI Orchestration: Understanding of how to integrate Generative AI and LLMs into existing business workflows (e.g., embedding AI insights directly into Salesforce or Oracle reporting).

Required :

• AI/ML Fluency: Deep understanding of the GenAI landscape (LLMs, RAG architecture, Prompt Engineering) and traditional ML (Regression, Clustering, Neural Networks).
• Architectural Vision: Ability to bridge the gap between "Deep Tech" (Snowflake/dbt) and "Business Value" (C-Suite presentations).
• Cloud Fluency: Expert-level knowledge of the Azure or AWS AI ecosystem.
• Executive Presence: Proven ability to influence leadership stakeholders on high-stakes technology investments.

Preferred :

• Sector Experience: Background in Manufacturing or Supply Chain .
• Financial Acumen: Experience managing multi-million dollar Opex/Capex budgets for cloud consumption and licensing.

Education & Experience

• Education: Bachelor’s in a quantitative field (STEM); MBA or MS in Data Science/AI preferred.
• Experience: 12+ years in Data/Analytics, with at least 5 years in a formal leadership role.
• AI Track Record: Must be able to demonstrate at least two successful, scaled AI/ML deployments in a corporate environment.

Equal Employment Opportunity

MasterBrand Cabinets LLC is an equal opportunity employer. MasterBrand Cabinets LLC’s policy is not to discriminate against any applicant or employee based on race, color, religion, sex, gender identity or expression, national origin, ancestry, age, disability/handicap status, marital status, military status, sexual orientation, genetic history or information, or any other basis protected by federal, state or local laws. MasterBrand Cabinets LLC also prohibits harassment of applicants or employees based on any of these protected categories. It is also MasterBrand Cabinets LLC’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.

Reasonable Accommodations

MasterBrand Cabinets LLC is committed to working with and providing reasonable accommodations to individuals with disabilities. If you have a disability and wish to discuss potential accommodations related to applying for employment, please contact us at View email address on click.appcast.io.