Director, Business Reporting, Advanced Analytics – AI
MasterBrand, Inc.
full-time
Posted on:
Location Type: Remote
Location: Ohio • United States
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Job Level
About the role
- 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
- Preferred 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)
Benefits
- Employees can work remotely
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Generative AILLMsRAG architectureprompt engineeringmachine learningdata architecturecloud ecosystemsdata fabric principlesAI/ML servicesdata platforms
Soft Skills
leadershipinfluencecoachingcommunicationorganizational skillsdata literacyrapid experimentationstrategic thinkingproblem-solvingcollaboration
Certifications
MBAMS in Data ScienceAI