【新竹】Gen AI / ML/Data Analytics Director, Engineering (3093743)

【Talents who apply job through Qualcomm Career Website will be reviewed and considered as top priority】

Please apply directly on Qualcomm Career Site via link below, and attach your English resume for further review. Thank you!

https://qualcomm.wd12.myworkdayjobs.com/zh-CN/External/job/Hsinchu-City-TWN/Data-Analytics-Director--Engineering--Zhubei-_3093743

【General Summary】
Drives the vision, strategy, architecture, and execution of enterprise-scale Machine Learning, Data Analytics, Data Governance, AI solutions and Engineering Productivity Tool initiatives. Is responsible for the development of scalable AI/ML platforms, data ecosystems, governance frameworks, analytics solutions, and software tools that accelerate engineering productivity, improve business decision-making, and enable data-driven innovation across the organization.
Develops and executes long-term strategies for Global AI adoption, advanced analytics, data infrastructure, and governance capabilities. Collaborates with engineering, operations, IT, quality, reliability, business groups, and executive leadership to transform data into actionable insights and scalable solutions. Coordinates and oversees the adoption of enterprise platforms, intelligent workflows, predictive analytics, AI-powered applications, and governance frameworks that improve efficiency, quality, velocity, and business outcomes.

The responsibilities of this role include:

• Working in alignment to leadership’s priorities, vision and strategies with minimal executive oversight.
• Providing supervision to managers and senior technical leaders who may be direct reports.
• Making decisions in alignment with global leadership that have significant organizational, operational, financial, and strategic impact across multiple functions and geographies.
• Influencing global organizational strategy, technology direction, and business priorities through data-driven insights and technical leadership.
• Communicating highly complex technical, business, and organizational concepts to executives, customers, partners, and engineering organizations.
• Leading large-scale transformations related to AI, machine learning, data management, governance, automation, and engineering productivity.
• Establishing long-term global roadmaps and investment strategies for AI platforms, analytics frameworks, data ecosystems, and software tooling.
• Driving innovation through the application of machine learning, generative AI, predictive analytics, workflow automation, and intelligent decision-support systems.
• Defining governance models, policies, standards, and best practices for data quality, security, responsible AI, compliance, access control, and lifecycle management.
• Using advanced analytical thinking, systems-level problem solving, and strategic planning to address highly ambiguous business and technical challenges.

Additional Responsibilities May Include

• Developing enterprise AI strategy and governance frameworks.
• Driving adoption of Generative AI, Agentic AI, Knowledge Management, and Intelligent Automation solutions.
• Developing enterprise data lake, warehouse, semantic layer, and analytics architectures in collaboration with IT and Knowledge teams.
• Leading digital transformation initiatives involving cloud platforms, data platforms, MLOps, and DataOps.
• Creating metrics and value frameworks to measure business impact from AI and analytics investments.
• Defining enterprise standards for AI model lifecycle management, governance, security, and compliance.