Avery Dennison (NYSE:AVY) is a global materials science and digital identification solutions company that provides a wide range of branding and information solutions that optimize labor and supply chain efficiency, reduce waste, advance sustainability, circularity and transparency, and better connect brands and consumers.
Our products and solutions include labeling and functional materials, radio frequency identification (RFID) inlays and tags, software applications that connect thy physical and digital, and a variety of products and solutions that enhance branded packaging and carry or display information that improves the customer experience. Serving an array of industries worldwide - including home and personal care, apparel, general retail, e-commerce, logistics food and grocery, pharmaceuticals and automotive - we employ approximately 35,000 employees in more than 50 countries. Our reported sales in 2023 were $8.4 billion. Learn more at www.averydennison.com.
AVERY DENNISON IS PROUD TO BE CERTIFIED GREAT PLACE TO WORK IN AUSTRALIA, CHINA, INDIA, JAPAN, SINGAPORE, MALAYSIA, THAILAND AND VIETNAM, AND RECOGNIZE AS ONE OF THE BEST COMPANIES TO WORK FOR IN ASIA IN GREATER CHINA AND VIETNAM.
As a Data Team Leader, you will play a critical role in our manufacturing or supply chain environment. You will be responsible for leading data-enabled projects, ensuring they are well-coordinated and meet user expectations. Your core function is to bridge the gap between technical data solutions and business needs, ensuring the team delivers actionable insights that directly support strategic decisions.
Lead and manage the data-enabled projects and daily activities, with a focus on cloud platforms such as Google Cloud Platform (GCP) and Oracle Cloud Infrastructure (OCI). You will define project scopes, coordinate tasks, manage timelines, and ensure project goals are met.Hands-on Technical Contribution: Work directly with the team to build data pipelines, automation workflows, and integrated AI applications. This includes contributing to tasks such as data cleaning, processing, and analysis, leveraging AI-driven tools, including Generative AI and agentic AI tools, to enhance data analytics processes.Data Analytics Advisory: Provide expert technical consultation on data analysis and solution design for the team and relevant stakeholders.Stakeholder Communication: Act as the primary point of contact between the technical team and business stakeholders. You will translate complex business requirements into technical tasks and effectively communicate data-driven findings and insights to non-technical audiences.Data Literacy & Strategic Alignment: Collaborate with the department management team to drive the data literacy culture within the department. This includes setting the foundation for successful AI adoption and ensuring the team's efforts contribute directly to the company's Manufacturing 4.0 (MF4.0) initiatives.Qualifications* Requirements:
At least 2-3 years of experience in data analysis, with some experience in a leadership or project coordination role.Strong practical experience with data languages and tools including SQL and Python.Hands-on experience working with Generative AI or agentic AI tools.Experience with building data-centric software or web-based applications.Excellent communication and presentation skills to effectively interact with both technical and non-technical audiences.An analytical and logical mindset with a proactive, problem-solving attitude.A team-oriented and self-motivated approach, with a passion for learning and adapting to new technologies.* Preferred Qualifications:
Background or coursework in manufacturing, industrial engineering, or supply chain.Hands-on experience working with Google APIs or integrating automation within Google Cloud is a strong advantage.Awareness of data security and privacy best practices.Experience with cloud platforms such as Google Cloud Platform (GCP) or Oracle Cloud Infrastructure (OCI) is a plus.Additional InformationPlease send your resume via [email protected]