Data & Ai Capability Lead

NXP Semiconductors

Not specified
Aws cloud platform experience
Databricks lakehouse architecture
Python and spark development
NXP Semiconductors is seeking a Data & AI Capability Lead to spearhead the development of their Data and AI capabilities within their Global Capability Center. This leadership role combines technical expertise in data platforms and AI solutions with strategic oversight to drive digital transformation initiatives across various business functions

Job Summary

  • This role is responsible for building and leading the Data & Artificial Intelligence capability within a Global Capability Center to enable AI-powered decision intelligence across global operations.
  • The leader will oversee the implementation of cloud-native data platforms using Databricks on AWS while driving modern data engineering practices like CI/CD and IaC.
  • Candidates must have strong hands-on experience with MLOps, model governance, and the ability to mentor future technical leaders in a high-performing team environment.

Matching Summary

Match Score: 85

NXP Semiconductors is seeking a Data & AI Capability Lead to spearhead the development of their Data and AI capabilities within their Global Capability Center. This leadership role combines technical expertise in data platforms and AI solutions with strategic oversight to drive digital transformation initiatives across various business functions.

Skills & Requirements

Must-have

  • AWS cloud platform experience
  • Databricks Lakehouse architecture
  • Python and Spark development
  • MLOps and model lifecycle management
  • 12-15 years data engineering experience
  • 10+ years leadership role experience

Nice-to-have

  • Edge AI implementation experience
  • GenAI framework integration
  • OT/IT system integration knowledge
  • Reinforcement learning familiarity
  • Global matrix organization background
  • Semiconductor manufacturing exposure

Key Requirements

  • Bachelor's or Master's degree in Computer Science or related field
  • 12-15+ years in Data Engineering, AI/ML, or Advanced Analytics
  • 10+ years in a leadership or team lead role
  • Experience working in enterprise or manufacturing environments

Work Rights

Not specified

Tailored Resume

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