Datacenter Project Analyst

Description:

Seeking a proactive Senior Program Analyst to support the planning, execution, and continuous improvement of initiatives that address complex business challenges. This role partners with cross-functional stakeholders to translate business needs into clear requirements, analyze data and program health metrics, and drive timely execution across multiple workstreams.

Preferred Qualifications
 

• Bachelor’s degree in Business, Analytics, Computer Science, Engineering, or a related field (or equivalent practical experience).
• Experience in program/project coordination, business analysis, or operations in a cross-functional environment.
• Proficiency in data analysis and reporting (e.g., Excel, SQL, Power BI/Tableau or equivalent) with the ability to communicate insights clearly.
• Strong organizational skills with the ability to manage multiple priorities, deadlines, and stakeholders simultaneously.
• Excellent written and verbal communication skills, including the ability to drive action through clear follow-ups and documentation.
• Familiarity with Datacenter product development lifecycles and cross-functional engineering collaboration.
• Experience with Agile methodologies (Scrum) and related tools (e.g., Sharepoint, Jira, Confluence).
• Knowledge of data governance, privacy, and responsible AI practices in an enterprise environment.
  
   

Principal Duties And Responsibilities
 

• Analyze large and diverse datasets to identify trends, quantify impact, and surface actionable insights to improve operational efficiency across multiple organizations.
• Develop and maintain program artifacts (roadmaps, schedules, JIRAs, Change Requests (CRs), status reports, and executive summaries) to provide clear visibility to stakeholders.
• HW ordering and tracking – involved in overall procurement process (ie SOC/part and internal test platforms distribution across geo-locations for all Chipset milestones in a timely manner
• Responsible for bring-up lab planning (including lab allocation, test HW management across tech teams, lab bench allocation, etc.)
• Responsible for internal SOC/part demand roll up for all milestones
• Partner with technical and business teams to define requirements, success metrics, and adoption measures for AI-driven solutions.
• Track deliverables across multiple project teams; drive follow-ups, remove blockers, and ensure timely closure of action items.
• Support governance routines (weekly business reviews, milestone readiness, and post-implementation reviews) and recommend process improvements based on data and stakeholder feedback.