Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience defining metrics, control health indicators, adoption measures, compliance dashboards, or review mechanisms for technical governance programs Experience in infrastructure operations and technical infrastructure knowledge Experience interfacing with and establishing relationships with management at suppliers or customers Experience communicating and translating technical and non-technical requirements for cross-functional stakeholders Experience working with cross-functional teams Experience managing ambiguity, and a track record of learning new tools, domains, or methods to address evolving challenges Experience mentoring engineers and raising the quality of program execution Experience influencing partner teams across infrastructure, engineering, planning, supply chain, data center, networking, operations, analytics, and finance organizations Experience working with distributed systems at scale Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 3+ years of experience in coding/scripting languages such as Python, R, Java, C, C++, PHP Technical understanding of infrastructure data domains, such as demand planning, capacity planning, inventory, sourcing, procurement, logistics, deployment, data center operations, networking, asset lifecycle, or service capacity Masters or Ph.D. degree in Operations Research, Industrial Engineering, Computer Science, or related technical field Experience with source-of-truth strategy, master data management practices, data quality frameworks, metric definitions, lineage, stewardship models, or data operating models Experience transforming business systems and models and achieving results relative to goals, including identifying opportunities to challenge existing approaches and proposing data-driven alternatives Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience with data governance programs in infrastructure, supply chain, data center, networking, capacity planning, logistics, finance, or similarly complex operational domains Experience driving programs across centralized platforms and federated business or infrastructure teams 10+ years of technical, manufacturing operations, or technical program leadership experience in the hardware systems or infrastructure industry
$184,000/year to $257,000/year + bonus + equity + benefits