Technical Project Manager — Data Assets & AI at Advanced Micro Devices, Inc

Austin, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

17 May, 26

Salary

0.0

Posted On

16 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Project Management, Data Engineering, Semantic Modeling, Machine Learning, Generative AI, Data Pipelines, MLOps, DataOps, Agile Methodologies, Jira, Azure Devops, Stakeholder Management, Risk Management, Communication, Conflict Resolution, Release Management

Industry

Semiconductor Manufacturing

Description

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career. THE ROLE: We are seeking a highly organized and technically savy Project Manager to manage projects across our Data Assets team (data engineers and semantic model developers) and Data Science team (ML and LLM initiatives). This role bridges technical depth with strong program management discipline—ensuring projects are delivered on time, within scope, and aligned to business priorities. You will manage complex data and AI initiatives, coordinate cross-functional teams, and maintain clear communication with stakeholders to drive measurable impact. THE PERSON: The ideal candidate is passionate about data and AI technologies and thrives in a very fast-paced environment. You have a good understanding of data pipelines, semantic modeling, machine learning, and generative AI concepts, combined with exceptional project management skills. You are proactive, detail-oriented, and skilled at pushing teams toward timely delivery while fostering collaboration and managing stakeholder expectations effectively. KEY RESPONSIBILITIES: Project Delivery & Governance Own end-to-end planning and execution for data engineering, semantic modeling, and ML/LLM projects. Define project scope, timelines, and deliverables; manage risks, dependencies, and change requests. Run Agile ceremonies, maintain backlogs, and track progress using metrics like velocity and burn-down charts. Technical Coordination Collaborate with data engineers on managing projects related to data pipelines and semantic models. Partner with data scientists to manage ML/LLM project lifecycles, including experimentation, deployment, and monitoring. Ensure adherence to best practices in DataOps, MLOps, Release Management and Documentations. Stakeholder Management Communicate project status, risks, and decisions clearly to technical and business stakeholders. Align priorities across teams and manage expectations to avoid delivery surprises. Operational Excellence Implement dashboards and reports for project health and delivery KPIs. Drive continuous improvement in processes, tools, and team collaboration. QUALIFICATIONS: Experience managing technical projects, preferably in data and AI domains. Proven track record of delivering complex projects involving data pipelines, semantic models, and ML/AI solutions. Technical Knowledge: Familiarity with data engineering tools (e.g., Airflow, Snowflake) and semantic modeling (Power BI Tabular, dbt Semantic Layer). Understanding of machine learning workflows, MLOps practices, and LLM concepts. Project Management Skills: Strong command of Agile methodologies and tools (Jira, Azure DevOps). Excellent communication, stakeholder management, and conflict resolution skills. Education: Bachelor’s degree in related field. LOCATION: Austin, TX #LI-RF1 #Hybrid This role is not eligible for visa sponsorship. AMD does not accept unsolicited resumes from headhunters, recruitment agencies or fee based recruitment services. AMD and its subsidiaries are equal opportunity employers and will consider all applicants without regard to race, marital status, sex, age, color, religion, national origin, veteran status, disability or any other characteristic protected by law. EOE/MFDV Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here. This posting is for an existing vacancy.

Responsibilities

The role involves owning end-to-end planning and execution for data engineering, semantic modeling, and ML/LLM projects, including defining scope, managing risks, and running Agile ceremonies. This includes collaborating with data engineers and scientists to manage project lifecycles and ensuring adherence to best practices in DataOps and MLOps.