Director, Business Reporting, Advanced Analytics & AI

MasterBrand, Inc. is a leading company in the consumer goods industry, specializing in residential cabinets. They are seeking a Director of Business Reporting, Advanced Analytics & AI to lead their enterprise data-to-value ecosystem, focusing on AI transformation and advanced analytics to drive business value.

Responsibilities:

• Lead the design and deployment of the enterprise AI strategy, prioritizing GenAI, LLM integration, and 'Agentic' workflows that automate complex business processes
• Establish the framework for ethical AI, including bias mitigation, data privacy, and security protocols in partnership with Legal and Risk teams
• Develop a 'Value Realization' framework to move AI use cases from Proof of Concept (PoC) to full-scale production with measurable ROI
• Lead the rollout of 'AI Copilots' and natural-language querying tools, enabling non-technical users to interact with data conversationally
• Direct the data science team in building ML models for demand forecasting, supply chain optimization, and churn prediction
• Ensure all models are monitored for 'drift' and maintained for long-term accuracy and reliability
• Serve as the 'Single Source of Truth' gatekeeper, ensuring consistent KPI definitions across global business units
• Transition the organization from 'request-and-build' static reports to dynamic, self-service environments using Power BI/Qlik
• Oversee the architecture and cost-optimization of the Snowflake Data Cloud
• Direct the use of dbt, Talend, and orchestration tools to ensure data is 'AI-ready' (clean, labeled, and accessible)
• Act as a primary evangelist for data literacy, helping the organization overcome resistance to AI adoption
• Coach a multidisciplinary team of Data Engineers, BI Developers, and Data Scientists, fostering a culture of rapid experimentation

Requirements:

• 12+ years of experience in Data, Analytics, or Technology, with at least 5 years in a leadership role
• Demonstrated success leading enterprise AI/ML initiatives, including at least two scaled deployments delivering measurable business impact
• Deep understanding of Generative AI (LLMs, RAG architecture, prompt engineering) and traditional machine learning techniques
• Strong architectural mindset with the ability to connect technical solutions to business outcomes and executive priorities
• Expertise in cloud ecosystems (Azure or AWS), including AI/ML services and data platforms
• Proven ability to influence senior leaders and drive adoption of complex technology initiatives
• Experience integrating enterprise platforms (e.g., Oracle ERP, Salesforce) to enable unified data and insights (Customer 360)
• Familiarity with modern data ecosystems including Snowflake, dbt, Talend, and BI tools (Power BI, Qlik)
• Understanding of data fabric principles and enterprise data architecture strategies
• Experience embedding AI into business workflows and operational systems
• Experience in manufacturing, supply chain, or related industries
• Strong financial acumen, including management of cloud, licensing, and technology investment budgets
• Advanced degree (MBA, MS in Data Science, AI, or related field)