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负责制定并执行公司AI路线图,识别并优先排序各业务领域的AI应用场景,主导AI项目从概念验证到部署落地的全生命周期管理,建立负责任的AI实践并确保合规。
Nova's Global Corporate Division is looking for an AI Manager to lead the development and scaling of AI solutions across our organization. This role will define the AI roadmap, identify high-value use cases, manage AI initiatives, and ensure responsible, scalable AI adoption. The ideal candidate combines technical knowledge in AI / machine learning with strong business understanding, project leadership, and stakeholder management skills.
Responsibilities: Define and execute the organization's AI roadmap in alignment with business priorities. Identify and prioritize AI use cases across functions such as operations, manufacturing, supply chain, finance, HR, sales, customer service, and R&D based on business value, feasibility, data readiness, and implementation complexity. Build business cases for AI initiatives, including expected ROI, value drivers, cost assumptions, benefits, risks, and success metrics. Lead end-to-end AI projects from ideation, proof of concept, pilot, deployment, and scaling. Manage project timelines, resources, risks, budgets, and stakeholder expectations. Partner with IT, data, cybersecurity, and business teams to integrate AI into existing systems and workflows. Ensure data availability, quality, and governance for AI initiatives. Drive adoption of AI solutions through stakeholder engagement, training, and feedback loops. Monitor and optimize deployed AI solutions for business impact, adoption, cost, performance, scalability, and reliability, including cloud consumption, API/model usage, licensing, infrastructure, support effort, and vendor costs. Guide the selection and use of AI platforms, machine learning tools, cloud services, and GenAI technologies. Establish responsible AI practices, including transparency, fairness, privacy, security, and human oversight. Ensure compliance with relevant regulations, internal policies, and data governance standards.
Bachelor's degree in computer science, Data Science, Engineering, Information Systems, or a related field. 5+ years of experience in IT, data, or digital transformation roles, with at least 2 years leading AI/ML initiatives. Experience building business cases for AI initiatives, including ROI, cost modeling, and value tracking. Ability to translate business needs into technical AI solutions. Practical experience with AI/ML and GenAI solutions, including several of the following: cloud AI services, copilots, intelligent automation, predictive analytics, computer vision, or AI-enabled business applications. Experience leading cross-functional initiatives with business, IT, data, cybersecurity, legal/compliance, and external vendors. Experience working in a manufacturing, semiconductor, or technology environment - an advantage. That special something you bring in: Strategic and business-oriented mindset;
Strong leadership and influencing skills;
Excellent stakeholder management and collaboration;
Curiosity and continuous learning;
Ownership and execution excellence.