Director, Procurement Intelligence & Predictive Analytics

This is a fully remote position, open to applicants in United States.

📋 Description

• Take charge of the global strategy, roadmap, and governance for procurement analytics, data science, and decision intelligence.

• Provide guidance to Procurement, Finance, Technology, and executive leadership by converting complex data into actionable insights and measurable results.

• Spearhead predictive and prescriptive analytics utilizing machine learning, statistical modeling, optimization, forecasting, and decision intelligence.

• Supervise models related to demand forecasting, supplier risk management, capacity planning, inventory optimization, lead-time prediction, anomaly detection, and cash flow forecasting.

• Create executive dashboards, supplier scorecards, KPI frameworks, and reporting standards.

• Enhance working capital and cash flow optimization through advanced analysis of purchasing, payment timing, inventory, accruals, supplier terms, and capital project spending.

• Collaborate with senior leaders to refine forecasting, scenario planning, capital allocation, operational efficiency, and supplier performance.

• Lead Source-to-Pay transformation projects aimed at automation, compliance, process optimization, and operational excellence.

• Boost guided buying adoption, spend visibility, purchase order compliance, invoice matching, goods receipt management, and overall procurement effectiveness.

• Establish global procurement data governance standards that encompass data quality, master data, metadata, lineage, controls, and stewardship.

• Foster analytics adoption and self-service capabilities, integrating insights into operations and strategic planning.

• Shape enterprise data and analytics strategy in collaboration with technology and data teams.

• Mentor and cultivate analytics talent while promoting best practices, innovation, and continuous improvement.

• Undertake additional responsibilities as assigned by Management.

⛳️ Requirements

• A Bachelor's degree in Data Science, Statistics, Economics, Mathematics, Supply Chain, Finance, Computer Science, Information Systems, Engineering, or a related discipline.

• Over 10 years of experience in data science, advanced analytics, business intelligence, analytics engineering, quantitative strategy, or a related field.

• Proven experience in leading enterprise-scale analytics initiatives.

• At least 5 years of experience collaborating with or supporting Procurement, Supply Chain, Finance, Operations, or other enterprise business functions.

• Demonstrated ability to influence at the leadership level.

• Experience in developing and implementing analytics strategies, roadmaps, and operating models.

• Capability to sway executive stakeholders and interpret complex analytical insights into strategic recommendations and business decisions.

• Proficiency in advanced analytics, machine learning, statistical modeling, forecasting, optimization, and modern cloud data platforms such as Azure Synapse, Databricks, Snowflake, Microsoft Fabric, or similar technologies.

• Familiarity with enterprise reporting, KPI frameworks, executive dashboards, and self-service analytics tools such as Power BI, Tableau, or equivalent.

• Solid understanding of procurement operations, strategic sourcing, supplier management, spend analytics, working capital optimization, Demand to Delivery, Source-to-Pay, Asset & Inventory, and supply chain performance management.

• Experience with enterprise systems like Coupa, SAP Ariba, Oracle, Workday, Yardi, SAP ERP, or similar platforms.

• Expertise in data governance, master data management, data quality, metadata management, lineage, stewardship, and enterprise data management.

• Experience integrating procurement, finance, supplier, inventory, contract, project, ERP, and payment data.

• Proven success in leading cross-functional teams, large-scale transformation projects, and enterprise data initiatives.

• Willingness to travel up to 20%, with the adaptability to increase as business requirements change.

• An advanced degree (MS, MBA, or equivalent) is preferred.

• Experience in data center infrastructure, construction, capital projects, procurement analytics, finance analytics, supply chain analytics, or CAPEX-intensive environments is preferred.

• Background in building, mentoring, and developing analytics, business intelligence, or data science talent is preferred.

• Professional certifications such as CDMP, CPSM, CIPS, PMP, or related credentials are preferred.

• Ability to occasionally lift and/or move up to 25 pounds.

🏝️ Benefits

• Base salary ranging from $180,000 to $200,000, along with a bonus.

• Medical coverage.

• Dental coverage.

• Vision coverage.

• Life and AD&D coverage.

• Short- and long-term disability coverage.

• Paid time off.

• Employee assistance program.

• 401(k) program with company match.

• Additional voluntary benefits.

• Competitive total compensation package above market standards.

• Health and welfare benefits.

• Retirement benefits.

• Paid leave benefits.

• Recognition programs.

• Opportunities for training and development.

• Flexible work arrangements, including remote work options.