Manager, Data Analytics – Procurement

Job Summary

The Procurement Data Analytics Manager leads analytics, digital transformation, and AI initiatives that strengthen Procurement decision-making and business performance. This role owns the Procurement analytics roadmap and partners with Procurement leadership, IT, and cross-functional teams to deliver practical, scalable reporting and insight solutions.

Responsibilities

• Lead Procurement Analytics, Digital Transformation, and AI Strategy
• Develop and manage the Procurement analytics, digital transformation, and AI roadmap in alignment with business priorities.
• Identify and scale high-value analytics, automation, and AI use cases that improve Procurement effectiveness.
• Serve as the business owner for Procurement analytics and AI solutions, ensuring they are useful, adopted, and aligned to strategic needs.
• Define success measures and track outcomes from analytics, automation, and AI investments.
• Lead and Build Team Capability
• Lead, coach, and develop analytics team members through clear priorities, performance feedback, and development plans.
• Support adoption of analytics, automation, and AI-enabled tools through training, stakeholder engagement, and change management.
• Build analytics literacy and encourage appropriate self-service reporting across Procurement.
• Drive Business Insights & Reporting
• Partner with Procurement leaders to develop analytics solutions that support spend management, sourcing, supplier performance, risk, contract compliance, and working capital.
• Create dashboards, KPIs, scorecards, and decision-support tools that improve operational and strategic decisions.
• Translate internal and external data into practical recommendations for category strategies, negotiations, supplier management, and executive reviews.
• Manage performance metrics and reporting cadences that measure Procurement effectiveness and highlight improvement opportunities.
• Build Scalable and Governed Solutions
• Define business requirements for data models, reporting structures, and analytics solutions.
• Establish standardized intake, prioritization, development, deployment, and support processes.
• Ensure analytics solutions are reusable, sustainable, automated where appropriate, and well documented.
• Maintain standards for data governance, data quality, validation, model monitoring, and responsible AI use.
• Partner with IT and Enterprise Data Teams
• Partner with IT, enterprise data teams, and business stakeholders to translate Procurement needs into scalable analytics solutions.
• Represent Procurement business needs in data architecture, analytics requirements, and AI initiatives.
• Support evaluation, implementation, and continuous improvement of procurement technologies, data platforms, and AI-enabled capabilities.

Minimum Qualifications

• Education: Bachelor’s degree in Business, Supply Chain, Analytics, or a related field, or equivalent professional experience
• Master’s degree (MBA, Predictive Analytics, Data Science, or Information Systems) preferred
• Experience: 7+ years of progressive experience in Procurement, Supply Chain, Data Analytics, Business Intelligence, Digital Transformation, or a related field.
• 3+ years of experience leading analytics, reporting, or business intelligence professionals.
• Experience developing analytics, digital transformation, data strategy, or Center of Excellence roadmaps.
• Experience leading cross-functional analytics, automation, process improvement, or AI-enabled initiatives.
• Ability to translate business problems into scalable analytics products and decision-support capabilities.
• Expert proficiency in SQL and advanced experience with BI platforms such as Power BI or Tableau.
• Experience with cloud-based analytics platforms, modern data architecture, and predictive analytics concepts.
• Experience with ERP and procurement systems such as JD Edwards, Oracle, SAP, Coupa, Ariba, or similar platforms preferred.