Data Management & Analytics Team Lead

Philips Iberica SAU; Chennai District; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Philips Iberica SAU seeks a Data Management & Analytics Team Lead to guide a analytics group, develop predictive models, and translate complex data into strategic recommendations. You will oversee model performance, collaborate with IT and business units, and drive data-driven decision making across the organization.

The role requires 8–9 years of leadership experience in data analytics and a strong background in data modeling, SQL, and BI tools.

Qualifications

• Bachelor's or Master's in Information Management, Information Systems, Computer Science, Data Analytics or equivalent.
• Minimum 8–9 years of people leader experience in data analytics or related field.

Responsibilities

• Lead and mentor analytics team members and delegate responsibilities to achieve objectives.
• Analyze complex datasets using advanced statistics and ML to inform decisions.
• Develop predictive models and visualizations using Python, R, and Palentir.
• Document methodologies and promote reproducibility across teams.
• Present insights to senior stakeholders with clear, actionable recommendations.
• Monitor and optimize deployed models for accuracy and impact.
• Collaborate with IT, data engineering, and business units to operationalize data science solutions.

Skills

Data analysis

Data harmonization

Data modeling

Data quality assurance

Statistical methods

Statistical programming

Business intelligence

Data mining

Machine learning foundations

Research & analysis

SQL

Regulatory compliance

Education

Bachelor's/Master's in Information Management/Information Systems/CS/Data Analytics

Tools

Python

R

Palentir

Job description

Data Management & Analytics Team Lead

Job Description

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.