Manager, Performance & Analytics at MP Materials in Fort Worth, TX

  • Company: MP Materials
  • Location: Fort Worth, TX
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-10-29

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Job description

Company Overview: MP Materials (NYSE: MP) is rebuilding American industrial capability for a new era of autonomy, robotics, and electrification. We are the only U.S. company with a fully integrated rare earth supply chain—from mining and refining to advanced metal and magnet manufacturing. Our products include both the critical materials used to make permanent magnets and the finished magnets themselves—enabling next-generation technologies in robotics, automation, aerospace, transportation, defense, and energy systems. These materials are the foundation of physical AI—the convergence of computation, movement, and control. We hire ambitious, mission-driven people who want to tackle complex challenges and shape the future of strategic industries. Our culture is rooted in teamwork, resiliency, and integrity, with a deep commitment to operational excellence and national purpose. MP is rapidly evolving from a materials producer into a leading U.S. manufacturer—and our people are driving that transformation. Position Overview: The Performance and Analytics Manager is responsible for shaping, leading, and delivering the performance, visualization, and analytics capability within the Capital Projects Digital Project Delivery team. The successful candidate will combine practical experience in large-scale engineering and industrial projects with strong technical fluency across project systems, financial and schedule information, master data, databases, artificial intelligence, and data visualization. This manager must be equally credible with engineering and Project Controls teams and with IT and finance teams. They will engage stakeholders across disciplines, translate business questions into governed information and analytical products, reconcile definitions across functions, and identify where workflows must produce and record data during project activities. This will support a continuous thread of information as it moves through Capital Projects, into turnover and operations, and into broader organizational use. The role will connect engineering, Project Controls, procurement, construction, commissioning, document control, finance, IT, and operations by bringing together the data, documents, information, and insights Capital Projects needs to deliver projects efficiently and to provide enterprise-level visibility. Position Responsibilities: Lead the Capital Projects performance and analytics capability within the Digital Project Delivery team, including its people, roadmap, priorities, standards, delivery methods, and stakeholder engagement model. Build strong stakeholder relationships across Capital Projects disciplines, IT, finance, operations, and leadership. Lead master data management initiatives, including standards, ownership expectations, identifiers, metadata, quality rules, lineage, issue management, and acceptance criteria. Identify where cross-discipline workflows must create, validate, record, and transfer data, documents, information, and metadata at the point of work. Define and govern handoffs and control points that sustain a continuous information thread from project definition through engineering, procurement, construction, commissioning, handover, operations, and subsequent organizational use. Design and maintain integrated analytical models that connect information across project systems, disciplines, documents, tags, equipment, materials, vendors, contracts, and lifecycle stages. Build and govern executive, portfolio, and project-level dashboards that place information from multiple disciplines into context, explain project health and emerging trends, and support leadership decisions. Gather, analyze, contextualize, and visualize metrics and KPIs across the Capital Projects portfolio, working with discipline leads to establish definitions, understand source information, identify trends and exceptions, and translate multidisciplinary performance information into actionable insights for p

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