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Manager, Supply Chain Analytics and Systems

SB EnergySan Francisco, California, United States · Posted 10 days ago
Full-timeEst. 125,000 USD
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Description

Do you want to work with high-caliber professionals in a dynamic and growing company? Are you entrepreneurial, hard-working, and collegial? Join us at SB Energy, a leading infrastructure company backed by SoftBank Group and Ares Infrastructure, pairing cutting-edge innovation with best-in-class execution. Our mission is to deliver reliable and secure data center and power infrastructure to strengthen America's future.

Founded in 2019, SB Energy is a SoftBank Group company headquartered in Redwood City, California. In 2026, SoftBank Group and OpenAI announced a $1 billion investment to support SB Energy as their leading development and execution partner for data center campuses, while Ares Infrastructure continues its long-standing support of the company's growth. SB Energy develops, builds, owns, and operates some of the largest and most technically advanced energy and data center infrastructure projects in the United States. Since its founding, the company has rapidly grown into a top-tier integrated platform with more than 3 gigawatts (GW) in operation and a multi-GW pipeline of energy and data center infrastructure nationwide.

SB Energy also leverages a strong culture of innovation to identify and integrate new technologies into its projects, including its AI-based digital platform, delivering energy infrastructure that is local, reliable, and matched to load. We are building the energy and infrastructure future—today.

Come join us in accelerating the energy and infrastructure transition!

Basic Function

As a member of the Data Center Supply Chain team, the Manager of Supply Chain Analytics and Systems will play a critical role in driving operational excellence, managing key supply chain performance indicators, analyzing supply chain data, and architecting systems, tools, and models. This role will lead the supply chain data and systems strategy that enable data-driven decision-making, streamline and automate the process, and scale the operations to support the delivery of large-scale AI data center projects and meet rapidly growing organization needs.

Responsibilities

  • Data Analysis: Develop supply chain and business intelligence datasets across sourcing, procurement, contracting, inventory, and logistics etc. to systematically track and analyze supply chain data. Collaborate with cross functional teams, like Finance, Project Control, Site Ops to deliver data analysis requests. Scale analysis solutions as business needs evolve.
  • Reporting & Dashboards: Build and maintain Key Performance Indicator (KPI) dashboards and operational reports for leadership and cross-functional teams to strengthen supply chain visibility, predictability, and operational excellence within the organization.
  • System Management: Identify, deploy, and maintain supply chain systems, tools, and platforms, like Oracle or Power BI or AI to reduce manual effort and transactional complexity. Act as the primary escalation point for supply chain systems and digital transformation matters and provide training to the team members as needed.
  • Master Data Management: Establish data center supply chain master data, including Bills of Materials, supplier master data, lead times, planning, inventory, delivery, etc. Drive data quality and date-based decision making.

Qualifications/Requirements

  • At least 7 years of professional experience.
  • Bachelor’s degree in supply chain, business, information management, computer science, or a related field; Master’s preferred.
  • 5+ years of analytics, data science, and systems experience supporting Supply Chain, Procurement, or Finance; experience with data center, mission-critical infrastructure, or large-scale construction environments is a strong plus.
  • Advanced proficiency in Excel, SQL, Power BI, or other data visualization tools. Strong ability to manage and develop predictive modeling, forecasting, and master data management.
  • Strong working knowledge and experience with major ERP and SLM systems.

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