
1001 - 5000 employees
Founded 2010
💼 Consulting
📦 Logistics
🏭 Manufacturing
Consulting • Logistics • Manufacturing
Vantage Data Centers is a company specializing in the design, development, and operation of highly flexible and scalable data centers. These data centers cater to hyperscalers, cloud providers, and large enterprises, offering state-of-the-art facilities across 5 continents and 21 markets. Vantage focuses on providing large-scale campuses that enable customers to grow steadily, with over 23 million square feet dedicated to data center space and 2. 6GW+ of power capacity. Committed to sustainability and efficiency, Vantage ensures 100% uptime with standardized designs offering predictability and performance. The company is backed by prominent investors such as DigitalBridge Group and Silver Lake, maintaining a strong financial standing and excellent customer satisfaction rates.
🔥 1 hour ago
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1001 - 5000 employees
Founded 2010
💼 Consulting
📦 Logistics
🏭 Manufacturing
Consulting • Logistics • Manufacturing
Vantage Data Centers is a company specializing in the design, development, and operation of highly flexible and scalable data centers. These data centers cater to hyperscalers, cloud providers, and large enterprises, offering state-of-the-art facilities across 5 continents and 21 markets. Vantage focuses on providing large-scale campuses that enable customers to grow steadily, with over 23 million square feet dedicated to data center space and 2. 6GW+ of power capacity. Committed to sustainability and efficiency, Vantage ensures 100% uptime with standardized designs offering predictability and performance. The company is backed by prominent investors such as DigitalBridge Group and Silver Lake, maintaining a strong financial standing and excellent customer satisfaction rates.
• Own and lead the global strategy, roadmap, and governance for procurement analytics, data science, and decision intelligence. • Advise Procurement, Finance, Technology, and executive leadership by translating complex data into actionable insights and measurable outcomes. • Lead predictive and prescriptive analytics using machine learning, statistical modeling, optimization, forecasting, and decision intelligence. • Oversee models for demand forecasting, supplier risk management, capacity planning, inventory optimization, lead-time prediction, anomaly detection, and cash flow forecasting. • Establish executive dashboards, supplier scorecards, KPI frameworks, and reporting standards. • Drive working capital and cash flow optimization through advanced analysis of purchasing, payment timing, inventory, accruals, supplier terms, and capital project spending. • Partner with senior leaders to improve forecasting, scenario planning, capital allocation, operational efficiency, and supplier performance. • Lead Source-to-Pay transformation initiatives focused on automation, compliance, process optimization, and operational excellence. • Improve guided buying adoption, spend visibility, purchase order compliance, invoice matching, goods receipt management, and procurement effectiveness. • Establish global procurement data governance standards covering data quality, master data, metadata, lineage, controls, and stewardship. • Promote analytics adoption and self-service capabilities, embedding insights into operations and strategic planning. • Influence enterprise data and analytics strategy with technology and data teams. • Mentor and develop analytics talent and foster best practices, innovation, and continuous improvement. • Perform additional duties as assigned by Management.
• Bachelor's degree in Data Science, Statistics, Economics, Mathematics, Supply Chain, Finance, Computer Science, Information Systems, Engineering, or a related field • 10+ years of experience in data science, advanced analytics, business intelligence, analytics engineering, quantitative strategy, or a related discipline • Experience leading enterprise-scale analytics initiatives • 5+ years of experience supporting or partnering with Procurement, Supply Chain, Finance, Operations, or other enterprise business functions • Demonstrated leadership-level influence • Experience developing and executing analytics strategies, roadmaps, and operating models • Ability to influence executive stakeholders and translate complex analytical insights into strategic recommendations and business decisions • Expertise in advanced analytics, machine learning, statistical modeling, forecasting, optimization, and modern cloud data platforms such as Azure Synapse, Databricks, Snowflake, Microsoft Fabric, or similar • Experience with enterprise reporting, KPI frameworks, executive dashboards, and self-service analytics using Power BI, Tableau, or similar • Strong 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 • Familiarity with Coupa, SAP Ariba, Oracle, Workday, Yardi, SAP ERP, or similar enterprise systems • 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 • Demonstrated success leading cross-functional teams, large-scale transformation initiatives, and enterprise data programs • Travel up to 20%, with flexibility to increase as business needs evolve • Advanced degree (MS, MBA, or equivalent) preferred • Experience in data center infrastructure, construction, capital projects, procurement analytics, finance analytics, supply chain analytics, or CAPEX-intensive environments preferred • Experience building, mentoring, and developing analytics, business intelligence, or data science talent preferred • Professional certifications such as CDMP, CPSM, CIPS, PMP, or related credentials preferred • Ability to occasionally lift and/or move up to 25 pounds
• Base salary of $180,000-$200,000 plus 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 • Above-market total compensation package • Health and welfare benefits • Retirement benefits • Paid leave benefits • Recognition programs • Training and development • Flexible work arrangement / remote work
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