Senior Manager Data Science

Summary

• Analyze complex business challenges, develop integrated analytical approaches, and leverage statistical methods and machine learning algorithms to contribute to solving unmet medical needs.
• Mine diverse data sources to uncover actionable insights and automate processes for increased efficiency and reusability.
• Manage the enterprise data lifecycle, from acquisition and enrichment to consumption, retention, and retirement, ensuring clean, accurate, and available data.
• Demonstrate high agility to work across various business domains, integrating findings with presentations, visualizations, and storytelling to clearly communicate business impact to stakeholders.
• Independently manage budgets, ensure appropriate staffing, and coordinate projects within the designated area.
• For team management roles: empower, guide, and coach team members, with initial supervision from senior leaders. This may be a first people management experience.

About the Role

Major Accountabilities:

• Manage own tasks and collaborate with team members, proactively planning, anticipating change, managing stakeholder expectations, identifying risks, and driving issues to resolution with minimal escalations.
• Collaborate with internal stakeholders, external partners, and cross-functional teams to address critical business problems.
• Gain a deep understanding of life science data sources, including preclinical, clinical, sales, contracting, promotions, social media, patient claims, and Real World Evidence (RWE).
• Research and co-develop data management strategies, new algorithms, statistical models, and business models, providing insights into structured and unstructured data.
• Quickly learn and apply tools, data sources, and analytical techniques to answer a wide range of critical business questions.
• Support the evaluation of technology needs, novel scientific software, visualization tools, and computational approaches to enhance the efficiency and quality of Novartis practices.
• Independently identify relevant research articles and propose their application to Novartis business challenges.
• Develop automated solutions for data management, enabling repeated analysis refreshes and insight generation.
• Clearly articulate solutions and recommendations to business users.
• Collaborate with senior data science team members to present analytical content concisely and effectively.
• Deliver understandable and actionable business intelligence to key stakeholders.
• Potentially lead a small team or provide in-depth technical expertise in a scientific or technical field, aligning with the career path (Manager or Individual Contributor).
• Report technical complaints, adverse events, or special case scenarios related to Novartis products within 24 hours of receipt.
• Distribute marketing samples as applicable.
• Ensure a healthy and safe workplace by complying with Novartis HSE and ISEC standards, implementing safety measures, providing training, supporting employee well-being, investigating incidents, and collaborating with HSE teams.

Key Performance Indicators:

• Achievement and governance endorsement of data management and advanced analytics program tollgates.
• Successful implementation based on KPIs and data management/advanced analytics program objectives.

Minimum Requirements:

Work Experience:

• 6+ years of relevant experience in Data Science.

Skills:

• Artificial Intelligence (AI)
• Data Governance
• Data Literacy
• Data Quality
• Data Science
• Data Visualization
• Deep Learning
• Machine Learning (ML)
• Machine Learning Algorithms
• NLP and Generative AI (GenAI)
• Statistical Analysis
• Time Series Analysis
• Python
• R
• SQL
• Graph Algorithms
• Logistic Regression Model
• Pandas (Python)
• Biostatistics
• Change Management
• Stakeholder Engagement
• Learning Agility
• Curiosity

Language:

• English

Why Novartis:

At Novartis, we believe in the power of collaboration and passion to drive innovation and improve patients' lives. We offer a dynamic environment where you can contribute to groundbreaking advancements and help create a brighter future. Learn more about our people and culture at https://www.novartis.com/about/strategy/people-and-culture.

Benefits and Rewards:

Discover comprehensive programs designed to support your personal and professional growth. Explore our handbook for details.

Company Information:

• Division: Corporate
• Business Unit: Information Technology
• Location: India
• Site: Hyderabad (Office)
• Company / Legal Entity: IN10 (FCRS = IN010) Novartis Healthcare Private Limited
• Functional Area: Data and Digital
• Job Type: Full time
• Employment Type: Regular
• Shift Work: No

Novartis is committed to fostering an outstanding, inclusive work environment and diverse teams that reflect the patients and communities we serve.

Accessibility and Accommodation:

Novartis is dedicated to providing reasonable accommodation for individuals with disabilities. If you require assistance during the recruitment process due to a medical condition or disability, please contact [email protected] with your request details and job requisition number.