Director, Procurement Intelligence & Predictive Analytics

🕒 vor 2 Monaten

🇺🇸 Vereinigte Staaten – Remote

💵 $180.000 - $200.000 / Jahr

⏰ Vollzeit

🔴 Experte

🛒 Einkauf

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

👻 Geisterscore 12%

Was es bedeutet: die Wahrscheinlichkeit, dass für diese Stelle niemand wirklich einstellt.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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Vantage Data Centers

WebsiteLinkedInAlle Stellen

1001 - 5000 Mitarbeiter

Gegründet 2010

💼 Beratung

📦 Logistik

🏭 Fertigung

Consulting • Logistics • Manufacturing

Vantage Data Centers ist ein Unternehmen, das sich auf das Design, die Entwicklung und den Betrieb hochflexibler und skalierbarer Rechenzentren spezialisiert hat. Diese Rechenzentren bedienen Hyperscaler, Cloud-Anbieter und große Unternehmen und bieten hochmoderne Einrichtungen auf 5 Kontinenten in 21 Märkten. Vantage konzentriert sich darauf, große Campus zu bieten, die es den Kunden ermöglichen, stetig zu wachsen, mit über 23 Millionen Quadratmetern, die für Rechenzentrumsflächen reserviert sind, und einer Leistungskapazität von über 2,6 GW. Mit einem Engagement für Nachhaltigkeit und Effizienz stellt Vantage einen 100%igen Betriebszeit sicher, wobei standardisierte Designs Vorhersehbarkeit und Leistung bieten. Das Unternehmen wird von namhaften Investoren wie DigitalBridge Group und Silver Lake unterstützt, was ihm eine starke finanzielle Basis und ausgezeichnete Kundenzufriedenheitsraten sichert.

Beschreibung

• 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.

🎯 Anforderungen

• 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

🏖️ Vorteile

• 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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