Key Responsibilities

• Transform the way complex business problems are solved through effective data management, Data Science, Artificial Intelligence, statistical methods and Machine Learning.
• Translate complex analytical findings into clear recommendations for business users, using effective visualization and storytelling to influence strategic decisions, including with senior business leaders.
• Establish effective approaches to managing data for analytical use and contribute to the development of Novartis data management and Data Science capabilities.
• Coordinate and prioritise resources across critical initiatives, proactively managing changing requirements, stakeholder expectations, operational risks and competing priorities.
• Collaborate with internal stakeholders, cross-functional teams, external partners and institutions to solve critical business challenges and identify opportunities for operational efficiency and innovation.
• Evaluate emerging technologies, scientific software, visualization tools and computational approaches, selecting appropriate tools, data sources and analytical techniques for a broad range of business questions.
• Provide agile consulting and exploratory analysis for urgent and non-standard business challenges, and independently identify relevant scientific research and apply appropriate methodologies to business problems.
• Contribute to the external scientific community through peer-reviewed publications, professional conferences and relevant cross-industry working groups.
• Depending on the career path, lead a team or function or provide deep scientific and technical expertise. Where leading people, empower and develop employees, provide coaching and create an environment that supports effective knowledge sharing, development and performance.
• Ensure activities meet applicable quality, ethical, health, safety and environmental requirements, including Novartis HSE and ISEC standards and applicable product-reporting responsibilities.

Desirable Skills

• Selection and implementation of appropriate data management and Data Science strategies for relevant programs.
• Achievement of applicable data management and advanced analytics program tollgates and governance endorsement.
• Successful delivery against agreed KPIs and data management and advanced analytics program objectives.

Employment

We offer permanent employment with 6 months of probation period.

Benefits & Rewards

At Novartis, we’re committed to reimagining medicine together - and rewarding the people who make it happen.

In addition to your base salary, you will be eligible for benefits listed below:

• Annual bonus for all employees (15% of annual salary).
• Holiday allowance: In 2025 it amounted to €2,496 (net). For 2026 it amounts to €2,678.28 (net).
• Yearly performance-based bonus: In 2025 it amounted to €2,538.64 (gross), including the winter allowance.
• Voluntary supplementary pension insurance: Novartis in Slovenia provides voluntary supplementary pension insurance (5.844% of gross salary, capped annually at €3.224,18).
• Additional accident insurance: During employment at Novartis, the employee is insured 24/7 in the event of death or disability resulting from an accident.
• Specialist insurance: Group health insurance providing faster access to specialist healthcare services at Triglav Health Insurance Company d.d. for you and your family members.
• Care Connect: A program offering confidential, personalized support for mental health and well-being through therapy, counselling, tools, and more.
• Other benefits in accordance with legislation and collective agreements: Transportation, meal allowance, and other supplements.

Read our brochure to learn more about our global total rewards offering: https://www.novartis.com/sites/novartis_com/files/novartis-life-handbook.pdf

Commitment to Diversity and Inclusion

Novartis is committed to building an outstanding, inclusive work environment and diverse teams’ representative of the patients and communities we serve.

Why Novartis

Helping patients and their families takes more than innovative science. It takes a community of dedicated people like you. At Novartis, we value collaborating, supporting and inspiring each other to develop breakthrough therapies that change patients’ lives. Are you ready to create a brighter future together with us? https://www.novartis.com/about/strategy/people-and-culture

• Transform the way complex business problems are solved through effective data management, Data Science, Artificial Intelligence, statistical methods and Machine Learning.
• Translate complex analytical findings into clear recommendations for business users, using effective visualization and storytelling to influence strategic decisions, including with senior business leaders.
• Establish effective approaches to managing data for analytical use and contribute to the development of Novartis data management and Data Science capabilities.
• Coordinate and prioritise resources across critical initiatives, proactively managing changing requirements, stakeholder expectations, operational risks and competing priorities.
• Collaborate with internal stakeholders, cross-functional teams, external partners and institutions to solve critical business challenges and identify opportunities for operational efficiency and innovation.
• Evaluate emerging technologies, scientific software, visualization tools and computational approaches, selecting appropriate tools, data sources and analytical techniques for a broad range of business questions.
• Provide agile consulting and exploratory analysis for urgent and non-standard business challenges, and independently identify relevant scientific research and apply appropriate methodologies to business problems.
• Contribute to the external scientific community through peer-reviewed publications, professional conferences and relevant cross-industry working groups.
• Depending on the career path, lead a team or function or provide deep scientific and technical expertise. Where leading people, empower and develop employees, provide coaching and create an environment that supports effective knowledge sharing, development and performance.
• Ensure activities meet applicable quality, ethical, health, safety and environmental requirements, including Novartis HSE and ISEC standards and applicable product-reporting responsibilities.

• Data management
• Data Science
• Artificial Intelligence
• Statistical methods
• Machine Learning
• Data visualization and storytelling
• Advanced analytics
• Scientific research and methodology
• Stakeholder collaboration
• Resource prioritisation and program governance
• Scientific software and computational approaches
• Coaching and employee development

• Selection and implementation of appropriate data management and Data Science strategies for relevant programs.
• Achievement of applicable data management and advanced analytics program tollgates and governance endorsement.
• Successful delivery against agreed KPIs and data management and advanced analytics program objectives.