Gen AI / ML/Data Analytics Director, Engineering (Zhubei)
Core
Drives vision, strategy, architecture, and execution of enterprise-scale Machine Learning, Data Analytics, Data Governance, AI solutions, and Engineering Productivity Tool initiatives to accelerate engineering productivity and enable data-driven innovation.
Role type
Director, Enterprise AI/ML & Data Analytics
Builds
Scalable AI/ML platforms, data ecosystems, governance frameworks, analytics solutions, and software tools for engineering productivity.
Domain
Semiconductor Hardware Engineering / Enterprise AI & Data
Deliverable
production ML models
Required skills
Strategic planning, organizational leadership, data governance, AI/ML strategy, cloud platforms, MLOps, data infrastructure, business transformation, stakeholder management
Preferred skills
Generative AI, Agentic AI, Knowledge Management, Intelligent Automation, semantic layer architecture, responsible AI principles, large-scale transformation leadership
Technologies
Databricks, Snowflake, AWS, Azure, GCP, MLOps, DataOps
Responsibilities
Develop long-term global roadmaps for AI platforms and data ecosystems; Define governance models for data quality, security, and responsible AI; Lead large-scale transformations in AI, ML, and automation; Collaborate with executive leadership to transform data into actionable insights; Establish enterprise standards for AI model lifecycle management; Create metrics to measure business impact from AI investments.
Seniority
Director, strategic leadership with management of managers