Responsibilities: .
The position reports to the Customer Program Management leader supporting AMD’s data center customer portfolio, including MDC/CST, OEM, HPC, and Enterprise AI segments, with broad horizontal accountability across programs and organizations.
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Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field
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8
Required | Experience in complex data programs as a senior project manager and/or data liaison role. | | 8 | Required | Experience collaborating with end-users, performance analysts and agency leaders to validate project/program reports, presentations for monitoring and official reporting. |
| 8 | Required | Excellent communication, presentation, and interpersonal skills. |
| 8 | Required | Experience with presentation and design tools such as PowerPoint and Visio. |
| 5 | Preferred | Experience leading as a senior project manager creating hybrid Agile sprint cycles, epics and stories, as well as Waterfall project plans and all project artifacts |
| 5 | Preferred | Experience with Business Intelligence/Data Warehouse |
| 5 | Preferred | Experience acting as the primary point of contact for program staff with data needs for federal, state, and internal reporting. |
| 5 | Preferred | Experience working in a health and human services or similarly regulated environment, with a strong understanding of program data and reporting requirements. |
| 5 | Preferred | Experience with data governance and data quality principles |
| 5 | Preferred | Experience managing scrum of scrum ceremonies to sync across Agile sprint teams and applying principles from the Scaled Agile Framework (SAFe) |
| 5 | Preferred | Experience ensuring project teams properly extract, integrate, and analyze data from multiple complex internal and external sources to support HHS program needs. |
| Years | Required/Preferred | Experience |
| 8 | Required | Experience translating complex analytics project intakes and business requirements into clear, actionable plans for prioritization and implementation. |
| 8 | Required | Experience explaining complex data initiatives in simple, non-technical language to end-users and leaders of all levels. |
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