Director, Business Reporting, Advanced Analytics & AI

We are seeking a forward-thinking Director of Business Reporting Advanced  Analytics & AI to serve as the strategic architect and operational leader of our enterprise data-to-value ecosystem. This role will define and execute our vision across Business Intelligence Data Engineering andour AI Center of Excellence (CoE).

You will lead the transformation from traditional reporting to a modern AI-powered enterprise embedding predictive analytics and Generative AI (GenAI) into core business processes. This leader will ensure AI is not just exploratory but a scalable governed and measurable driver of business value.

Responsibilities

1. AI Center of Excellence (CoE) & GenAI Transformation

• 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.

Qualifications :

• 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)

Additional Information :

Equal Employment Opportunity

MasterBrand Cabinets LLC is an equal opportunity employer. MasterBrand Cabinets LLCs 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 LLCs 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 .

Remote Work :

Yes

Employment Type :

Full-time