Senior Manager – Data Science
Company: Novartis
Location: India
Job ID: REQ-10072514
Department: Data Science & Advanced Analytics
Employment Type: Full-Time
Experience Required: 6+ Years
Position Overview
Novartis is seeking a highly analytical and innovative Senior Manager – Data Science to lead advanced analytics initiatives that support strategic business decisions across the healthcare value chain.
In this role, you will leverage machine learning, artificial intelligence, statistical modeling, data engineering, and advanced analytics to solve complex business challenges, generate actionable insights, and drive data-driven decision-making. You will work across multiple business domains, including clinical development, commercial operations, patient analytics, real-world evidence, and healthcare data sciences.
The ideal candidate combines strong technical expertise with business acumen, stakeholder management skills, and the ability to translate complex analytical findings into meaningful business outcomes.
Key Responsibilities
Advanced Analytics & Data Science
Develop and implement advanced analytics solutions to address critical business challenges.
Apply statistical methodologies, machine learning algorithms, artificial intelligence, and predictive modeling techniques to generate actionable insights.
Design and execute data science projects that support strategic business objectives.
Develop scalable analytical frameworks to improve operational efficiency and decision-making.
Machine Learning & Artificial Intelligence
Build and deploy machine learning models for forecasting, classification, clustering, optimization, and predictive analytics.
Apply deep learning, NLP, Generative AI, graph analytics, and advanced statistical techniques to business use cases.
Evaluate and implement innovative AI solutions to enhance business performance.
Continuously explore emerging technologies and analytical methodologies.
Data Management & Governance
Manage and support enterprise data lifecycle processes, including:
Data Acquisition
Data Integration
Data Enrichment
Data Consumption
Data Retention
Data Retirement
Ensure high standards of data quality, governance, accessibility, and compliance.
Support development of automated data pipelines and reusable analytical assets.
Establish best practices for data management and governance across projects.
Business Intelligence & Insights Generation
Transform complex datasets into meaningful business insights.
Develop dashboards, reports, and visualization tools that support strategic decision-making.
Create compelling business presentations using storytelling and data visualization techniques.
Communicate analytical findings effectively to both technical and non-technical audiences.
Healthcare & Life Sciences Analytics
Work with diverse healthcare and pharmaceutical datasets, including:
Clinical Trial Data
Preclinical Research Data
Commercial & Sales Data
Contracting Data
Promotional Analytics
Patient Claims Data
Real-World Evidence (RWE)
Social Media & Digital Health Data
Generate insights that support drug development, commercialization, patient outcomes, and healthcare innovation.
Research & Innovation
Research emerging analytical methodologies and identify opportunities for implementation.
Evaluate scientific literature and recommend innovative approaches applicable to business challenges.
Collaborate with senior data scientists to develop new models, algorithms, and analytical frameworks.
Support adoption of advanced computational techniques and scientific software.
Automation & Process Optimization
Develop automated solutions for recurring analytics processes.
Build reusable tools and workflows that improve productivity and reduce manual effort.
Enhance reporting efficiency through automated data refresh and insight generation mechanisms.
Drive continuous improvement initiatives across data science operations.
Stakeholder Management & Cross-Functional Collaboration
Collaborate with business leaders, technical teams, and external partners to address strategic priorities.
Translate business requirements into analytical solutions.
Present recommendations and insights to senior stakeholders.
Build strong relationships across global and cross-functional teams.
Project & Team Leadership
Independently manage multiple projects and priorities simultaneously.
Monitor project timelines, risks, deliverables, and resource utilization.
Anticipate challenges and proactively develop mitigation strategies.
Support mentoring, coaching, and development of junior team members.
Lead small teams or serve as a technical subject matter expert depending on organizational needs.
Compliance, Quality & Safety
Ensure compliance with internal policies, quality standards, and regulatory requirements.
Report technical complaints, adverse events, and special case scenarios related to Novartis products within required timelines.
Maintain adherence to Health, Safety, Environment (HSE) and Information Security (ISEC) standards.
Promote a safe and compliant working environment.
Required Qualifications
Education
Bachelor’s, Master’s, or higher degree in:
Data Science
Statistics
Computer Science
Artificial Intelligence
Machine Learning
Mathematics
Engineering
Life Sciences
Biostatistics
Related Quantitative Discipline
Experience Requirements
Mandatory
Minimum 6+ years of professional experience in Data Science, Advanced Analytics, or related fields.
Experience working with large-scale structured and unstructured datasets.
Demonstrated success delivering analytics projects in healthcare, life sciences, pharmaceutical, or related industries.
Preferred
Experience within pharmaceutical, biotechnology, healthcare, or life sciences sectors.
Experience managing small teams or leading analytics initiatives.
Exposure to Real World Evidence (RWE) analytics and healthcare datasets.
Uttar Pradesh :
Agra | Gajraula | Gautam buddha Nagar | Ghaziabad | Gorakhpur | Greater Noida | Jhansi | kanpur | Lucknow | Mathura | Noida | Park City | Prayagraj | Satyamev | Varanasi |Gujarat :
Ahmedabad | Ankleshwar | Baroda | Bharuch | Gandhinagar | Gujarat | Halol | Jhagadia | Mehsana | surat | Tarasadi | Vadodara | Vapi |Maharashtra :
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amritsar | Bathinda | Bela | Chandigarh | ludhiana | Moga | Mohali | Patiala | Phagwara | Punjab | Rajpura |Andra Pradesh :
Anakapali | Anantapur | Bhimavaram | Chittoor | Guntur | Gurgaon | Kakinada | Mangalagiri | Nellore | Pydibimavaram | Tirupathi | Vijayawada | Visakhapatnam |Tamil Nadu :
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Banasthali | Bhiwadi | Jaipur | Pilani | Udaipur |Karnataka :
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Dehradun | Halifax | Nainital | Rishikesh | Roorkee |Delhi :
Delhi | Gangtok | New Delhi | PAN-India |Assam :
Dibrugarh | Diburghar | Guwahati |West Bengal :
Digha | Kolkata | Mukundapur |Goa :
Goa | Panaji | Verna |Bihar :
Hajipur | Patna |Kerala :
Kannur | Kochi | Malappuram | Thiruvananthapuram | Trivandrum |Pondicherry (Puducherry) :
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Ranchi |Sikkim :
Rangpo |India :
Remote, India | Siliguri |Illinois :
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Duluth | Eden Prairie | Fridley | Hibbing | Maple Grove | Minneapolis and St. Paul, Minnesota. | Minnetonka | St.Paul |Kentucky :
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Kyiv |Lima Region :
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