Senior Manager, Supply Chain Analytics & Insights

Shaw•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 partners with Data Engineering, IT, and business stakeholders to translate certified enterprise data assets into scalable analytical products. The role oversees analytics strategy and delivery, team development, governance and data stewardship, project and program management, and adoption of analytics and digital technologies. It also supports reliable self-service reporting, data quality, continuous improvement, and measurable business value.

Requirements

At least 5 years of experience in analytics roles, ideally alongside supply chain or procurement experience.
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.
Strong business acumen in sourcing and procurement operations.
Demonstrated project management and change leadership experience.
Global sourcing or international business experience.

Nice To Haves

Experience in Supply Chain and/or Procurement.

Responsibilities

Lead, coach, and develop a team of analysts and potentially a future analyst manager; foster continuous learning, innovation, inclusive leadership, analytics tool usage, and data storytelling.
Oversee portfolio management, change management, and technical development leadership for the outsourced Finished Products function.
Partner with IT leadership to align analytics capabilities with strategic objectives and deliver scalable, sustainable solutions.
Champion digital technology enablement, 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.
Manage structured intake, prioritization, and sprint processes for analytics development; work with 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 innovative 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.
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 applications, tools, and automation that streamline workflows, improve productivity, and deliver efficiency gains.
Partner with IT teams to ensure data availability and system integration.
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 gaps, and resolve issues affecting reporting accuracy, KPI reliability, and business decisions.
Oversee GSCS-owned data stewardship, including Supplier Master and Item Master governance within Oracle Fusion, to ensure data accuracy, compliance, business ownership, and alignment with enterprise governance standards.
Monitor Supplier Master, Item Master, and analytics data quality metrics; lead cross-functional remediation and continuous improvement efforts.
Drive standards, governance practices, and business ownership for sourcing-owned data and other critical sourcing datasets.
Lead sprint planning and manage resources, timelines, and stakeholder communications to deliver expected outcomes on time.
Champion analytics-driven process improvements and support organizational adoption through change management.