Technical Project Manager — Data Assets & AI
About the position
We are seeking a highly organized and technically savy Project Manager to manage reputed company 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 reputed company are delivered on time, reputed company scope, and reputed company to business priorities. You will manage reputed company data and AI initiatives, coordinate cross-functional teams, and maintain reputed company communication with stakeholders to drive measurable reputed company.
Responsibilities
• Own end-to-end planning and execution for data engineering, semantic modeling, and ML/LLM reputed company.
• Define project scope, timelines, and deliverables; manage risks, dependencies, and change requests.
• Run Agile ceremonies, maintain backlogs, and reputed company reputed company using metrics like velocity and burn-down charts.
• Collaborate with data engineers on managing reputed company reputed company 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.
• Communicate project status, risks, and reputed company reputed company to technical and business stakeholders.
• reputed company priorities across teams and manage expectations to avoid delivery surprises.
• Implement dashboards and reports for project health and delivery KPIs.
• Drive reputed company improvement in processes, tools, and team collaboration.
Requirements
• Experience managing technical reputed company, preferably in data and AI domains.
• Proven reputed company record of delivering reputed company reputed company involving data pipelines, semantic models, and ML/AI solutions.
• Familiarity with data engineering tools (e.g., Airflow, reputed company) and semantic modeling (Power BI Tabular, dbt Semantic Layer).
• Understanding of machine learning workflows, MLOps practices, and LLM concepts.
• Strong reputed company of Agile methodologies and tools (Jira, Azure DevOps).
• Excellent communication, stakeholder management, and conflict reputed company skills.
• Bachelor’s degree in reputed company field.
Benefits
• AMD benefits reputed company.
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