Data & AI Solutions manager/analyst

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 10 years of experience with Bachelor's OR Minimum 5 years of experience with Master's in areas such as Data Handling, Data Analytics, AI Modeling or equivalent.
Preferred Experience:
Experience in using programming languages such as Python, R, JAVA, C/C++

Knowledge of the Azure data stack, data bricks, or similar.
Preferred Skills:
• requirements definition

. Statistical Methods
• Data Harmonization & Processing
• Artificial Intelligence (AI)
• AI Algorithm Development
• DevOps
• Data Governance

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.
this role is an office 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.

#LI-Hybrid

#LI-PHILIN