Job Information
Philips Data and AI Manager in Shanghai, China
The Data and AI Manager is responsible for overseeing the analysis of complex datasets, development of AI models to uncover key insights and handling of database design, and data warehousing. The role directs the implementation of efficient data pipelines, ensures data integrity and compliance with governance standards. The role manages data governance initiatives, ensures adherence to regulatory standards and ethical guidelines. The role partners with business teams to translate requirements into actionable solutions and provide strategic guidance to senior leadership on data and AI initiatives.
Job Responsibilities:
Oversees the analysis of complex datasets and the development of AI models to identify key trends, patterns, and insights that drive strategic decision-making and business performance.
Directs the development and implementation of efficient data pipelines to extract, transform, and load data from diverse sources, ensuring data integrity, consistency, and compliance with governance standards.
Drives the deployment of machine learning models in production environments, ensuring adherence to best practices for security, scalability, and model explainability, and oversee ongoing monitoring and maintenance activities.
Manages data governance and compliance initiatives, ensuring adherence to regulatory standards, privacy policies, and ethical guidelines in the collection, storage, and use of data assets.
Supervises the documentation of data pipelines, models, and processes, ensuring clarity, maintainability, and effective knowledge transfer within the team and across departments.
Leads troubleshooting efforts for data quality issues, conducting root cause analysis and collaborating with cross-functional teams to design and implement effective solutions.
Partners with business teams to understand their data needs and challenges, translating requirements into well-defined technical specifications and actionable data solutions.
Provides strategic guidance and recommendations to senior leadership on data and AI initiatives, leveraging industry best practices and emerging trends to drive competitive advantage and business growth.
Ensures continuous improvement of data engineering and AI capabilities, evaluating emerging technologies, optimizing processes, and driving innovation to deliver value-added solutions to the organization.
Manages talent across the team, while driving employee selection, performance management, compensation management, career development, and ensuring effective operational management.
Minimum required Education:
Bachelor's / Master's Degree in Computer Science, Information Management, Data Science, Econometrics, Artificial Intelligence, Applied Mathematics, Statistics or equivalent.
Minimum required Experience
Minimum 3 years of experience executing AI tools in E2E Commercial Environment with hands‑on expertise in data handling, data analytics, AI modeling, or related areas.
Preferred Experience:
Experience in using programming languages such as Python, R, SQL
Preferred Skills:
Statistical Methods
Data Harmonization & Processing
Artificial Intelligence (AI)
AI Algorithm Development
DevOps
Business Acumen
Data Governance
Continuous Improvement
Strategic Planning
Regulatory Requirements
People Management
How we work together
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.
Onsite roles require full-time presence in the company’s facilities.
Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.
Indicate if this role is an office/field/onsite role.
About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
Learn more about our business.
Discover our rich and exciting history.
Learn more about our purpose.
If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here.
How we work together
We believe that we are better together than apart. For our office-based teams, this means working in-person at least 3 days per week.
Onsite roles require full-time presence in the company’s facilities.
Field roles are most effectively done outside of the company’s main facilities, generally at the customers’ or suppliers’ locations.
Indicate if this role is an office/field/onsite role.
About Philips
We are a health technology company. We built our entire company around the belief that every human matters, and we won't stop until everybody everywhere has access to the quality healthcare that we all deserve. Do the work of your life to help the lives of others.
Learn more about our business.
Discover our rich and exciting history.
Learn more about our purpose.
If you’re interested in this role and have many, but not all, of the experiences needed, we encourage you to apply. You may still be the right candidate for this or other opportunities at Philips. Learn more about our culture of impact with care here.