Senior Manager - Data Platform AI Enablement

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We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences - the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world's most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.

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THE ROLE:

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.

THE PERSON:

This leader will collaborate with data scientists, AI/ML engineers, and business stakeholders to architect systems that deliver trusted, high-quality data for advanced analytics, predictive modeling, and AI applications.

KEY RESPONSIBILITIES:

• Leadership & Strategy
• 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.
• Platform & Systems Engineering
• 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.
• AI & Analytics Enablement
• 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.
• Operational Excellence
• 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.

PREFERRED EXPERIENCE:

• 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, Google Cloud Platform 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).

ACADEMIC CREDENTIALS:

• Bachelor's or Master's in Computer Science, Engineering, or related field.

LOCATION:

San Jose, CA

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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.