Data Management & Analytics Team Lead
Philips is hiring a Data Management & Analytics Team Lead. Level rates it ; you can apply on Level.
AI in this role
Lead an analytics team to build advanced predictive models and machine learning solutions for strategic business decisions.
Job Title
Data Management & Analytics Team LeadJob Description
Job Title : Data Management & Analytics Team Lead
Job Responsibilities:
•Leads and mentors analytics team members and delegates responsibilities effectively within the analytics team, fostering a culture of accountability and collaboration, and optimizing team performance to achieve project objectives and business targets.
•Handles analysis of complex datasets using advanced statistical methods and machine learning techniques to uncover deep insights that inform strategic business decisions and operational efficiencies.
•Creates sophisticated predictive models and data visualizations, utilizing tools like Python, R, and Palentir, to forecast trends, patterns, and anomalies for proactive decision-making, working under limited supervision.
•Develops, documents, and disseminates comprehensive methodologies, processes, and analytical findings, ensuring transparency, reproducibility, and facilitating cross-functional knowledge sharing and collaboration.
•Presents complex data-driven insights and strategic recommendations to senior stakeholders, effectively translating intricate analytical results into clear, actionable business strategies and influencing key decision-making processes.
•Monitors, maintains, and continuously improves the performance of deployed models, conducting regular reviews, updates, and optimizations to ensure sustained accuracy, relevance, and business impact.
•Interacts and collaborates with cross-functional teams, including IT, data engineering, and various business units, to ensure the successful operationalization, integration, and scaling of data science solutions across the organization.
Minimum required Education:
Bachelor's / Master's Degree in Information Management, Information Systems, Computer Science, Data Analytics or equivalent.
Minimum required Experience:
Minimum 8-9 years of people leader experience with Bachelor's/Master's in areas such as Data Analytics, Data Modeling or equivalent
Preferred Skills:
Data Analysis & Interpretation
Data Harmonization & Processing
Data Modeling
Data Quality Assurance
Statistical Methods
Statistical Programming Software
Business Intelligence Tools
Data Mining
Machine Learning Engineering Fundamentals
Research & Analysis
Structured Query Language (SQL)
Regulatory Compliance
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 rate this
Data Management & Analytics Team Lead at Philips rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where predictive modeling was part of your work. What did you do?
- Tell me about a project where statistical methods was part of your work. What did you do?
- Tell me about a project where data visualization was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Machine learning, Data Analysis, Predictive Modeling, Statistical Methods, and Data Visualization. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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