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Director, Business Reporting, Advanced Analytics – AI

Artificial IntelligenceArtificial IntelligenceFull TimeRemoteLeadTeam 10,001+H1B No SponsorCompany SiteLinkedIn

Location

Ohio

Posted

70 days ago

Salary

0

Seniority

Lead

Postgraduate Degree12 yrs expEnglishAWSAzureERPOracle DatabaseOracle ERP

Job Description

Director, Business Reporting, Advanced Analytics – AI

MasterBrand, Inc.

• 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.

Job 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

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