Senior Manager, Supply Chain Analytics & Insights

Shaw Industries•Dalton, GA

About The Position

The Senior Manager, Supply Chain Analytics & Insights advances analytics capabilities across the Finished Products Global Supply Chain & Sourcing organization. The role leads analysts who turn trusted enterprise data 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. It bridges business strategy and analytics execution, partnering with Data Engineering, IT, and business stakeholders to deliver scalable analytical products that encourage adoption, improve visibility, accelerate decisions, and provide measurable business value. The position leads portfolio and change management, technical development, and team development. It champions digital technologies—including agentic AI, process automation, and advanced analytics—and enables self-service business intelligence and AI through scalable products, reporting, KPI frameworks, and user enablement. It oversees analytics strategy and delivery using tools such as Power BI, Tableau, and Databricks, and partners with Operational Excellence and IT to improve workflows, productivity, data availability, and system integration. The role also owns business-facing data stewardship and governance processes for sourcing data, including Supplier Master and Item Master governance within Oracle Fusion. It monitors data quality and leads remediation and continuous improvement efforts to ensure reliable reporting and decision-making. The Senior Manager leads sprint planning, project delivery, stakeholder communications, and organizational adoption of analytics-driven improvements.

Requirements

At least 5 years of experience in analytics, supply chain, or procurement roles.
At least 2 years of experience leading teams or cross-functional projects.
Bachelor’s degree in Supply Chain, Business Analytics, Data Science, Engineering, or a related field.
Proficiency in data visualization and analytics tools such as Power BI, Databricks, SQL, Python, and Tableau.
Experience identifying, deploying, or scaling AI-enabled business solutions, analytics automation, or advanced analytics capabilities, preferably in supply chain, sourcing, procurement, or operations environments.
Strong business acumen in sourcing and procurement operations.
Demonstrated experience in project management and change leadership.

Nice To Haves

Experience in supply chain and/or procurement.
Global sourcing or international business experience.

Responsibilities

Lead, coach, and develop a team of analysts and potentially a future analyst manager; foster continuous learning, innovation, and inclusive leadership.
Manage the analytics portfolio, change management, and technical development for the outsourced Finished Products function.
Champion analytics tools, data storytelling, digital technology, agentic AI, process automation, and advanced analytics adoption.
Identify opportunities for productivity, resource optimization, and operational maturity.
Enable self-service AI and business intelligence through scalable analytics products, applications, reporting, KPI frameworks, and user enablement programs.
Facilitate structured intake, prioritization, and sprint management for analytics development.
Partner with GSCS associates and 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 analytics solutions.
Lead the design, development, delivery, and adoption of analytical data tables, semantic business models, KPI frameworks, dashboards, reports, business applications, self-service solutions, and AI-enabled capabilities.
Oversee dashboards, KPIs, metrics, and reports using Power BI, Tableau, and Databricks.
Translate business requirements into scalable analytics solutions that improve cost, speed, quality, risk mitigation, and decision-making.
Partner with Operational Excellence to design and deploy apps, tools, and automation that streamline workflows, improve productivity, and deliver efficiency gains.
Partner with IT teams to ensure data availability and system integration; align analytics capabilities with strategic objectives and scalable solutions.
Develop and maintain analytical data tables, semantic business models, KPI frameworks, reporting standards, and consistent business definitions and metrics.
Partner with Data Engineering, IT, and business stakeholders to monitor data quality, identify analytics-impacting gaps, and resolve issues affecting reporting and KPI reliability.
Oversee GSCS-owned Supplier Master and Item Master data stewardship in Oracle Fusion, ensuring accuracy, compliance, business ownership, and alignment with enterprise governance standards.
Drive standards, governance, business ownership, validation, and continuous improvement for Supplier Master, Item Master, and other critical sourcing datasets.
Lead sprint planning and manage resources, timelines, and stakeholder communications to deliver analytics projects and programs on time.
Champion analytics-driven process improvements and support organizational adoption through change management.