Senior Manager, AI

Found in: Talent CN S2 - 2 weeks ago

Shanghai, China Porsche Engineering Group Full time

TasksTasks

Lead the development and execution of AI strategies, including identifying opportunities for AI integration and leveraging AI technologies to drive business growth and innovation; main domains are data analysis, simulation, Generative Artificial Intelligence Collaborate with cross-functional teams, including engineering, data science, ADAS, product development, and business units, to drive the adoption of AI technologies across the organization Oversee the design and implementation of AI-powered systems, such as predictive analytics, natural language processing, machine learning, and computer vision, to support business objectives Conduct market research and stay abreast of industry trends to identify new opportunities for AI integration and assess the competitive landscape Set strategic goals and key performance indicators KPIs for AI initiatives and monitor the performance of AI systems to ensure they meet business objectives and deliver value Manage budgeting, resource allocation, and talent development to support the growth and success of AI projects within the organization Adjustment of headquarters cloud infrastructure to fit Chinese regulations and technical environment, like Azure Business acquisition, technical communication with clients and offer preparation in cooperation with Sales Cooperation with the international locations of the Porsche Engineering Group Representation of the AI and Data Engineering area in the relevant committees Drive the establishment of data-driven methods, processes, guidelines and best practices in the area Responsible for the management and tracking of control variables such as resource utilization, costs, deadlines, quality and technology Responsible for resource, investment and budget planning

QualificationsQualifications

Bachelor's or Master's degree in computer science, engineering, data science, or a related field; a Ph.D. in AI or related field is a plus At least 10 years experience in AI and data engineering initiatives, with a strong understanding of AI technologies, including machine learning, deep learning, natural language processing, LLM, Generative AI, and computer vision Minimum 5 years of managerial experience paired with strong leadership behavior Experience in managing cross-functional teams and driving the development and implementation of AI-powered products and solutions Experience with cloud environment and creation of drafts for service architectures in the preferred cloud infrastructures, such as Microsoft Azure, Amazon Web Services Experience in working with large dataset and SQL Strong programming skills in Python and experience with Unix/PowerShell scripting Strong analytical and problem-solving skills, with the ability to translate business needs into AI strategies and initiatives Excellent communication and leadership skills, with the ability to collaborate with stakeholders at all levels of the organization Knowledge of industry best practices and emerging trends in AI, as well as experience in developing and executing AI strategies in a corporate setting

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