Role Description The Supply Chain Value Engineering Senior Director is a strategic leadership role responsible for delivering high-impact, measurable business outcomes across complex supply chain environments. This role combines deep supply chain expertise, value engineering methodology, and advanced AI-driven solutioning to transform client challenges into scalable, data-led business value. The role leads end-to-end engagements and partners with the AI Lab to scale innovative supply chain solutions. Qualifications - 12–15+ years in supply chain, consulting, or operations - Proven leadership in large-scale transformation programmes - Strong stakeholder engagement at executive level - Deep understanding of supply chain processes - Experience with value engineering, financial modelling, and analytics - Exposure to AI and data-driven solutions Requirements - Senior Director role with broad strategic accountability, operational autonomy, and ownership of outcomes across multiple engagements - Strategic thinker with strong problem-solving capability - Results-driven with focus on value creation - Strong influencing and communication skills - Ability to lead cross-functional and international teams Key Responsibilities - Lead strategic value engineering and transformation initiatives across supply chain functions - Own end-to-end engagement delivery from problem structuring to execution and value realisation - Act as a trusted advisor to senior client stakeholders - Partner with the AI Lab to develop and scale AI-driven supply chain solutions - Drive business growth through client engagements and go-to-market support Key Deliverables - Measurable business value (cost savings, efficiency gains, revenue impact) - Successful delivery of complex transformation programmes - Adoption of AI-enabled supply chain solutions - Strong client satisfaction and repeat business

Role Description The Manager, Supply Chain Systems Transformation is responsible for designing, implementing, and continuously improving the systems, processes, analytics, and operational infrastructure that enable Oklo’s supply chain organization to scale from development activities to fleet deployment. This role serves as the business owner for supply chain enterprise systems, including: - Procurement Orchestration - Procure-to-Pay - Supplier Management - Inventory Management - Manufacturing Execution Systems (MES) - Quality Management Systems (QMS) - Future ERP platforms Working closely with implementation partners, software vendors, Information Technology, and operational stakeholders, this individual will ensure these systems are configured, adopted, and optimized to deliver measurable business value. The Manager, Supply Chain Systems Transformation operates as a business process architect and internal product manager, translating operational requirements into scalable workflows, system configurations, reporting capabilities, and analytics that support: - Procurement - Manufacturing - Quality - Engineering - Construction - Finance - Program teams This role also owns the supply chain performance measurement framework, including development of dashboards, KPIs, reporting, and analytics that provide visibility into: - Procurement effectiveness - Operational readiness - Inventory health - Supplier performance - Overall supply chain execution This position reports to the Senior Director of Procurement & Supply Chain and may be based in Santa Clara, CA or remotely within the United States. Specific responsibilities may include: - Serve as the business owner for supply chain enterprise systems - Lead business-side implementation efforts from requirements definition through deployment, adoption, and continuous improvement - Partner with software vendors, implementation providers, and Information Technology teams to configure, test, deploy, and optimize enterprise systems - Define and maintain system workflows, approval processes, master data structures, transaction models, reporting frameworks, and governance mechanisms - Lead user acceptance testing, training, change management, and business readiness activities - Monitor system performance and drive continuous improvements - Evaluate and recommend new technologies and digital capabilities - Support ERP evaluation, selection, implementation planning, and future deployment activities - Ensure enterprise systems generate the operational visibility, analytics, and decision-support capabilities required Qualifications - Bachelor’s degree in Engineering, Supply Chain, Operations, Information Systems, Business, or a related field - 7+ years of experience in supply chain, manufacturing, operations, business systems, consulting, digital transformation, or related disciplines - Demonstrated experience leading implementation or optimization of enterprise business systems - Experience translating business requirements into system configurations, workflows, reporting, analytics, and operational processes - Experience developing operational metrics, dashboards, reporting tools, and performance management frameworks - Strong analytical, problem-solving, and systems-thinking capabilities - Experience leading complex cross-functional initiatives involving multiple stakeholders - Strong written and verbal communication skills Requirements - Experience implementing Procurement Orchestration, Procure-to-Pay, Supplier Management, Inventory Management, MES, QMS, ERP, or related enterprise systems - Experience serving as a business process owner, product owner, solution architect, or implementation lead - Experience supporting ERP selection, implementation, or deployment efforts - Experience developing executive dashboards, business intelligence solutions, or operational analytics - Experience in nuclear, aerospace, defense, semiconductor, automotive, energy, or other highly regulated industries - Experience supporting manufacturing scale-up, capital projects, or supply chain transformation initiatives - Experience with data analytics, business intelligence, and reporting platforms - MBA, advanced engineering degree, or equivalent experience Benefits - Salary: $140,000 - $200,000 - Flexible time off - Equity - Bonuses - Competitive pay - 401(k) - Health insurance (with employer contribution) - HSA, FSA - Flexible work hours - Wellness credits - Other benefits

• Lead the definition of the enterprise Data and Artificial Intelligence architecture for the entire Supply Chain, ensuring scalability, governance and high availability of solutions. • Define architecture standards for ingestion, processing, storage and consumption of data coming from SAP, legacy systems, corporate applications, spreadsheets and other business sources. • Design Data Lakes, Data Warehouses, Data Products and event-driven architectures using Google Cloud Platform services. • Act as the main technical reference between business areas, Data Engineering, Analytics, Data Science and Technology, translating operational challenges into technological solutions. • Define architectures for Artificial Intelligence, Machine Learning and Generative AI applications focused on Supply Chain. • Develop strategies for demand forecasting, inventory optimization, loss identification, replenishment planning, logistics management and operational efficiency using predictive models and AI. • Design modern data pipelines using DataOps, MLOps and CI/CD best practices. • Ensure adherence to corporate policies for security, governance, data quality and observability. • Define integration strategies between Data, AI, SAP, APIs and other corporate systems. • Drive the continuous evolution of the data platform, proposing new technologies and architectures aligned with market best practices. • Support the construction of the technology roadmap for the area, identifying opportunities for innovation and value creation for the business. • Conduct technical assessments (As-Is and To-Be), proposing scalable architectures to support operational growth over the coming years. • Influence strategic decisions related to the evolution of the company’s data and Artificial Intelligence platform.

• Lead Fit-to-Template workshops for the Sales & Distribution (SD) module in SAP S/4HANA; • Document gap validations identified during the workshops; • Prepare Functional Design documentation; • Configure Development, Quality, Mock and Production environments; • Define the Master Data strategy; • Define the Cutover and Data Migration strategy; • Support System Integration Testing (SIT) and User Acceptance Testing (UAT); • Perform defect resolution; • Execute and validate data migrations; • Act hands-on, coordinating satellite application vendors, managing integration processes and ensuring continuous, efficient operational execution across systems and partners; • Other related duties.