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Serves as the liaison between IT and business stakeholders, gathering and documenting requirements, improving business processes, supporting ERP initiatives, and leading cross-functional projects. Responsibilities include project planning, risk and dependency management, UAT coordination, issue resolution, stakeholder alignment, and business readiness for technology deployments across supply chain, manufacturing, procurement, operations, customer operations, and finance.

The Staff Business Analyst partners with business and IT stakeholders to gather requirements, document processes, and lead cross-functional ERP and business transformation initiatives. Responsibilities include developing BRDs and FRDs, managing project plans, risks, milestones, and dependencies, analyzing processes for improvement, coordinating UAT, resolving issues, and supporting successful technology deployments across supply chain, manufacturing, procurement, operations, customer operations, and finance.

Leads customer and product quality engineering for hyperscale and AI server systems from new product introduction through mass production. Acts as a customer escalation point, guides quality engineers, resolves issues through root-cause analysis and corrective actions, and drives cross-functional process improvements across manufacturing, suppliers, engineering, and procurement. Manages customer audits, reporting expectations, quality scorecards, failure analysis, and customer communications while mentoring team members and promoting data-driven continuous improvement.

Develop and execute end-to-end software testing for enterprise storage management applications and storage array solutions. Create feature-based test plans, maintain QA processes, support CI/CD automation, validate APIs, investigate customer issues, and assist field teams with debugging and issue reproduction. Collaborate within Agile teams while applying knowledge of server, storage, networking, Linux, and data storage technologies.

Build, deploy, and operate AI applications and scalable machine learning solutions. Develop automated training and deployment workflows, support production AI infrastructure, and collaborate with software, data science, and platform engineering teams. Responsibilities may include building RAG pipelines, working with LLM serving frameworks, managing containerized workloads, and using Kubernetes-based orchestration in on-premises cloud-native environments.

Develop and execute end-to-end QA validation for enterprise storage management applications and storage array solutions. Create feature-based test plans, maintain CI/CD automation pipelines, test APIs, troubleshoot customer issues, recreate field defects, and collaborate with development and field teams. The role requires knowledge of storage, server, networking, Linux, Agile QA processes, and programming or scripting in Python, JavaScript, and Shell.

Leads early supplier involvement for AI data center hardware, driving hardware co-design, DFM/DFT, liquid cooling, high-speed PCBAs, power delivery, rack integration, prototyping, cost modeling, production yield, and supply-chain risk mitigation. Partners with engineering teams and strategic suppliers to accelerate EVT/DVT, qualify alternate sources, and ensure scalable, high-quality manufacturing of high-density compute platforms.

Supports mass-production server platforms through engineering change assessment, system integration, validation, debugging, configuration management, and performance optimization. Develops validation methodologies for component substitutions, firmware updates, and customer changes. Ensures server designs remain manufacturable, reliable, and serviceable while documenting lessons learned and contributing to future system requirements and designs.

Analyze complex manufacturing and supply chain data to investigate critical issues, identify data quality and operational gaps, and support customer resolution. Establish data governance and contract integrity, design data quality metrics and visualizations, lead acceptance testing, and recommend system and process improvements. Partner with customers, developers, engineers, and management while prioritizing work, resolving conflicts, and improving application functionality.

Leads end-to-end firmware, BIOS, and BMC release planning and change management across hardware product development programs. Coordinates engineering, validation, manufacturing, supply chain, and operations teams; manages release governance, readiness reviews, risks, dependencies, and executive reporting. Establishes scalable processes and metrics to improve release predictability and quality, while synchronizing platform validation, qualification, launch, deployment, and post-release stabilization activities.