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 project teams and leadership.
Work with Capital Projects disciplines to understand and interpret governed project performance information, connect it with engineering, procurement, construction, commissioning, document, and asset information, and use it as part of a broader view of project delivery.
Act as an AI super user for Capital Projects, modeling highly efficient and responsible use of AI and creating agentic workflows that increase team efficiency, support project-scenario evaluation, and provide reusable AI-enabled services to the Capital Projects team.
Design, build, test, document, and continuously improve AI-enabled and agentic workflows, with appropriate human review, validation, traceability, confidentiality, and operational controls.
Perform exploratory analysis and anomaly detection across connected project information to identify data gaps, inconsistent coding, unusual patterns, disconnected records, and emerging issues that require review by the responsible discipline owner.
Present options, opportunities, recommendations, and well-supported proposals to leadership, translating complex project information into clear, decision-useful visual and written narratives.
Lead, manage, coach, and develop analysts and technical contributors; allocate priorities; strengthen data literacy; and establish reusable templates, definitions, documentation, and development standards.
Manage employees, vendors, and consultants, including objectives, workload, stakeholder alignment, quality review, knowledge transfer, and delivery acceptance.
Basic Qualifications
Bachelor's degree in architecture, engineering, computer science, information systems, data analytics, finance, economics, business, or a related field.
Minimum of 7 years of relevant experience spanning data, analytics, information management, project systems, or technology delivery, including substantial experience supporting industrial capital projects.
Industrial capital projects experience and practical knowledge of the information generated across engineering, procurement, construction, commissioning, document management, Project Controls, materials, tags, assets, and master data.
Demonstrated management or people-leadership experience, including setting priorities, coaching team members, managing delivery commitments, and leading cross-functional work.
Hands-on experience with analytics platforms and data visualization, including advanced Power BI capability in data modeling, measures, drill-through analysis, security concepts, and executive-level presentation.
Ability to work effectively with AI tools, databases, and coding or scripting environments to develop practical solutions, automate work, and connect project information.
Demonstrated ability to act as an AI super user by creating AI-enabled and agentic workflows that increase team efficiency, support project-scenario evaluation, and provide reusable services to Capital Projects.
Working knowledge of relational databases, SQL, data integration, APIs, semantic models, metadata, lineage, master data management, and data-quality management.
Strong stakeholder management, coordination, and collaboration skills across Capital Projects disciplines, IT, finance, operations, and leadership.
Ability to present options, opportunities, recommendations, and well-supported proposals to leadership, translating complex information into clear business decisions.
Ability to work with Capital Projects disciplines to interpret governed project performance information and place it into the broader project-delivery context.
Desired Qualities
Master's degree in a relevant technical, analytical, engineering, or business discipline.
Experience on both the owner side and consultant or EPC side of industrial capital project delivery.
Hands-on experience with Palantir Foundry or a comparable analytics platform, Claude, Microsoft Copilot Studio, and Power Automate.
Ability to develop solutions using Python, Microsoft Fabric, data lakes, Azure data services, version control, or automated testing for data products.
Experience with SAP project information, Autodesk Construction Cloud, Oracle Aconex, Microsoft SharePoint, Primavera or comparable scheduling tools, and related project applications.
Experience leading master data management, data governance, KPI definitions, analytics product ownership, or a center-of-excellence model.
Experience applying AI governance practices to Capital Projects use cases, including responsible-use controls, validation, traceability, confidentiality, and human review.
Demonstrated experience creating agentic workflows that support Capital Projects, with the ability to explain or demonstrate the workflow, inputs, controls, outputs, and business value.
A portfolio, case study, or live demonstration that provides evidence of past performance in analytics, AI-enabled workflows, automation, or leadership decision support.
MP Materials is Proud to be an Equal Opportunity / Affirmative Action Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Underrepresented groups/Women/Disabled/Veterans are encouraged to apply. Candidates whose disabilities make them unable to meet the position’s requirements will still be considered qualified if they can perform the essential functions of the job with reasonable accommodation.
Your Right to Work – In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment verification document form upon hire.
For Assistance with Application - Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact Human Resources Department at 702-844-6111; dial 7 when prompted for HR; 1700 South Pavilion Center Dr. 8th Floor, Las Vegas, NV 89135 to discuss reasonable accommodation.
