Senior Manager - Data Platform AI Enablement

AMD • San Jose, CA

114d

About The Position

We are seeking an experienced Senior Manager of Systems Engineering to lead the design, implementation, and optimization of our data platform and analytics ecosystem, with a strong focus on enabling AI-driven insights. The role will oversee engineering teams responsible for building and scaling modern data infrastructure leveraging Apache Iceberg, Spark, Kafka, and Hadoop ecosystem tools, ensuring that the platform is high-performing, resilient, and future-ready.

Requirements

• Extensive experience in systems engineering or data engineering, including leadership roles.
• Proven expertise in big data technologies: Apache Iceberg, Spark, Kafka, Hadoop ecosystem, and modern lakehouse/data warehouse platforms.
• Strong understanding of distributed systems, data storage, streaming, and parallel processing frameworks.
• Experience enabling AI/ML workflows through data platforms (training data pipelines, feature stores, inference pipelines).
• Solid track record in leading teams, managing large-scale systems, and driving enterprise-wide platform adoption.
• Familiarity with cloud-native data platforms (AWS EMR, Glue, GCP Dataproc, Dremio, Presto/Trino, BigData, Databricks, Snowflake) is a plus.
• Excellent communication, stakeholder management, and cross-functional collaboration skills.
• Hands-on knowledge of containerization (Kubernetes, Docker) and infrastructure-as-code.
• Experience with data governance, lineage, and cataloging tools.
• Knowledge of observability, data quality frameworks, and AI pipelines.
• Familiarity with AI-specific platforms (MLflow, Ray, TensorFlow Extended, Feast).

Responsibilities

• Define and drive the vision and roadmap for enterprise data platforms supporting analytics and AI.
• Manage and mentor a high-performing systems engineering team specializing in big data technologies.
• Establish best practices for scalable data processing, governance, and performance optimization.
• Lead the architecture, deployment, and operation of data platforms using Apache Iceberg, Apache Spark, Kafka or Flink, Nessie/Unity/Polaris Catalogue, and cloud-native equivalents.
• Ensure efficient data ingestion, storage, and processing for structured, semi-structured, and unstructured data.
• Oversee the integration of streaming, batch, and real-time pipelines supporting AI/ML workloads.
• Partner with data science and AI teams to ensure platforms support advanced model training, inference, and data exploration.
• Drive the adoption of modern data Lakehouse architectures and query engines.
• Enable self-service analytics and AI experimentation through robust data platforms.
• Define and monitor KPIs for reliability, scalability, and cost efficiency of data systems.
• Implement security, compliance, and governance practices across the data ecosystem.
• Champion automation in deployment, monitoring, and platform lifecycle management.

Benefits

• AMD benefits at a glance.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Bachelor's degree