Senior Manager, Supply Chain Analytics & Insights

Shaw Industries Group; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

Shaw Industries Group, Inc. seeks a Senior Manager, Supply Chain Analytics & Insights to lead a team turning trusted data into actionable insights, dashboards, KPIs, and AI-enabled solutions across sourcing, procurement, and supply chain operations.

You will partner with Data Engineering, IT, and business stakeholders to translate enterprise data into scalable analytics products that drive adoption and measurable value.

Qualifications

• Experience leading analytics teams in supply chain or operations.
• Proven ability to translate data assets into business insights.
• Familiarity with Power BI, Tableau, and Databricks is a plus.

Responsibilities

• Lead a team of analysts and coach future managers.
• Transform enterprise data assets into dashboards, KPIs, and reports.
• Partner with IT and business stakeholders to ensure scalable analytics solutions.

Job description

Job Title

Senior Manager, Supply Chain Analytics & Insights

Position Overview:

Shaw Industries Group, Inc. is a leader in flooring and other surface solutions designed for residential housing, commercial spaces and outdoor environments. Leveraging strengths in design, innovation and operational excellence, the company takes a people-centered, customer-focused, and growth-minded approach to meet diverse market needs. It creates differentiated customer experiences through its expansive portfolio of brands: Anderson Tuftex, COREtec, Shaw Floors, Patcraft, Philadelphia Commercial, Shaw Contract, Shaw Sports Turf, Shawgrass, Southwest Greens, Watershed Geo and more. Headquartered in Dalton, Georgia, Shaw is a wholly owned subsidiary of Berkshire Hathaway, Inc. with more than $6 billion in annual sales and 18,000 associates worldwide.

Position Overview: The Senior Manager, Supply Chain Analytics & Insights is responsible for advancing analytics capabilities across the Finished Products Global Supply Chain & Sourcing organization. This role leads a team of analysts that transforms trusted enterprise data assets into actionable insights, business applications, dashboards, reports, KPIs, and AI-enabled solutions that improve decision-making and operational performance across sourcing, supplier management, procurement, and supply chain operations. This position serves as the primary bridge between business strategy and analytics execution. Working closely with Data Engineering, IT, and business stakeholders, the Senior Manager ensures that certified enterprise data assets are translated into scalable analytical products that drive adoption, improve visibility, accelerate decision-making, and deliver measurable business value.

Key Responsibilities

Leadership & Team Development

• Accountable for portfolio mgmt, change mgmt, and technical development leadership in the outsourced Finished Products function
• Lead, coach, and develop a team of analysts and potentially a future analyst manager
• Foster a culture of continuous learning, innovation, and inclusive leadership
• Champion the use of analytics tools and data storytelling
• Partner closely with IT leadership to align analytics capabilities with strategic objectives and ensure scalable, sustainable solutions.
• Mature business operations by improving processes, strengthening execution, and scaling capabilities that deliver measurable impact.

Analytics Enablement

• Champion team enablement of digital technology, including agentic AI, process automation, and advanced analytics usage.
• Identify opportunities for productivity, resource optimization, and operational maturity.
• Enable self-service AI and business intelligence capabilities by delivering scalable analytics products, business applications, reporting solutions, KPI frameworks, and user enablement programs that empower associates to independently generate insights and accelerate decision-making using trusted enterprise data assets.
• Facilitate a structured intake, prioritization, and sprint management process for analytics development.
• Partner with GSCS associates and their business partners to understand needs, identify pain points, and surface continuous improvement opportunities.
• Lead proof-of-concept initiatives, scenario planning, and pilot programs to test and scale innovative analytics solutions.
• Lead the design, development, delivery, and adoption of analytics products, including analytical data tables, semantic business models, KPI frameworks, dashboards, reports, business applications, self-service solutions, and AI-enabled capabilities. Use platforms such as Power BI, Tableau, and Databricks to deliver scalable solutions that meet evolving business needs.

Analytics Strategy & Execution

• Oversee the design and delivery of dashboards (data visualization), KPIs / metrics, and reports in PowerBI, Tableau, and Databricks.
• Translate business requirements into scalable analytics solutions that improve cost, speed, quality, risk mitigation, and decision-making capabilities.
• Partner with Operational Excellence to design and deploy practical apps, tools, and automation solutions that streamline workflows, improve productivity, and drive measurable efficiency gains.
• Partner with IT teams to ensure data availability and system integration.
• Develop and maintain analytical data tables, semantic business models, KPI frameworks, and reporting standards that enable reliable self-service reporting, scalable dashboards, and consistent business insights.
• Facilitate and maintain business definitions, metrics, and KPIs to ensure consistent and reliable analytics across the function.

Cross-Functional Collaboration

• Partner closely with IT leadership to align analytics capabilities with strategic objectives to ensure scalable, sustainable solutions.

Governance & Data Stewardship

• Partner with Data Engineering, IT, and business stakeholders to monitor data quality, identify gaps impacting analytics, and drive resolution of issues affect