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 in transforming 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. Serving as a bridge between business strategy and analytics execution, the Senior Manager works with Data Engineering, IT, and business stakeholders to translate certified enterprise data assets into scalable analytical products. The position is responsible for driving adoption, improving visibility, accelerating decisions, and delivering measurable business value. It also leads team development, analytics enablement and strategy, data stewardship and governance, and project and program delivery.

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 with 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 project management and change leadership experience.
Global sourcing or international business experience.
Competencies: compelling communication, strategic influence, innovation, leading change, coaching and developing others, and building trusting relationships.

Nice To Haves

Experience in supply chain and/or procurement (highly preferred).

Responsibilities

Manage the analytics portfolio, change management, and technical development leadership for the outsourced Finished Products function.
Lead, coach, and develop a team of analysts and potentially a future analyst manager; foster continuous learning, innovation, and inclusive leadership.
Champion analytics tools and data storytelling, and partner with IT leadership to align analytics capabilities with strategic objectives.
Improve business operations by strengthening processes, execution, and scalable capabilities that deliver measurable impact.
Enable digital technology use, including agentic AI, process automation, and advanced analytics; identify opportunities for productivity, resource optimization, and operational maturity.
Deliver scalable analytics products, business applications, reporting solutions, KPI frameworks, and user enablement programs that support self-service AI and business intelligence using trusted enterprise data.
Establish structured intake, prioritization, and sprint management for analytics development; work with GSCS associates and business partners to understand needs and identify pain points and 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 using platforms such as Power BI, Tableau, and Databricks.
Oversee dashboard, KPI, metric, and report design and delivery 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 generate 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 for reliable self-service reporting, scalable dashboards, and consistent insights.
Facilitate and maintain business definitions, metrics, and KPIs to support consistent, reliable analytics.
Partner with Data Engineering, IT, and business stakeholders to monitor data quality, identify analytics-impacting gaps, and resolve issues affecting reporting accuracy, KPI reliability, and decisions.
Oversee GSCS-owned data stewardship processes, including Supplier Master and Item Master governance within Oracle Fusion, ensuring accuracy, compliance, business ownership, and alignment with enterprise standards.
Monitor Supplier Master, Item Master, and analytics data quality metrics and lead cross-functional remediation efforts.
Drive standards, governance practices, business ownership, data quality monitoring, validation, and continuous improvement for sourcing-owned data and other critical sourcing datasets.
Lead regular sprint planning sessions to prioritize and deliver analytics projects and programs.
Manage resources, timelines, and stakeholder communications to deliver expected outcomes on time.
Champion analytics-driven process improvements and support organizational adoption through change management.