Head of Data Driven Decision Making

at  Novartis

SUMMARY

Novartis is a global pharmaceutical and healthcare company committed to improving the lives of patients and making a lasting impact on global health. With a rich history spanning over 250 years, Novartis has established itself as a leader in the industry, combining cutting-edge medical science with innovative technology to develop and deliver life-changing medicines and healthcare solutions. Driven by a robust pipeline of strong medicines, Novartis is undergoing an evolution that not only promises business growth but also enables the swift delivery of innovative medicines to patients. Novartis is seeking a highly skilled and motivated individual to join our team as the Head of Data Driven Decision Making. In this role, you will be responsible for managing and analysing data to provide valuable insights and strategic recommendations that will drive business growth and performance. As the single point of contact for professional analysis and modelling for data driven decision making, you will be responsible for driving the execution of priority analytics, strategic thinking, robust modelling, and planning. You will also be in charge of data sourcing and organization, creating and managing a common platform where all data from different sources and analysis are available. Your main responsibilities will include enabling the measurement and analysis necessary to support proper resource allocation for driving the performance of our priority brands. This will involve converting complex data sources into meaningful insights and visualizations, as well as supporting the organization in improving its capability for data-driven decision making. The goal of the department is to build new capabilities within the organization, enabling the new operating model designed for growth and performance. You will be expected to deliver the “basics” while also driving a spirit of innovation and smart risk-taking, pushing the organization to look at our business in new and more efficient ways.

MAJOR ACCOUNTABILITIES:

• monitoring and forecasting market trends and the competitive situation, providing analytics support to Novartis internal customers, and executing detailed and professional analytics and insights that enable business performance.
• You will also work closely with business and functional partners to build new tools, pilot new approaches, and enable the new capabilities needed for organizational success.
• To be successful in this role, you should have:
• Bachelor’s degree in data science, Statistics, Computer Science, or a related field. An advanced degree is a plus.
• Proven experience in data analysis and insights generation, preferably in a leadership role. Strong proficiency in statistical analysis tools, data visualization tools (such as Tableau, Power BI, or Qlik), and a solid understanding of data governance principles and best practices are essential.
• Familiarity with advanced analytics techniques, such as predictive modelling and machine learning, is also desirable.
• We are looking for someone with excellent analytical and problem-solving skills, who can translate complex data into actionable insights.
• Strong leadership and team management abilities are essential, as well as effective communication and presentation skills to convey complex information to both technical and non-technical stakeholders.
• Knowledge of data management and database systems, as well as familiarity with data privacy and security regulations, is important.
• A continuous learning mindset and the ability to adapt to evolving technology and business needs are also key attributes we seek.
• If you are a highly motivated individual with a passion for data-driven decision making and want to make a significant impact in a leading pharmaceutical company, we encourage you to apply for this exciting opportunity.
• Join us at Novartis Pharmaceuticals and be part of our mission to improve the lives of patients worldwide through innovative healthcare solutions..

WORK EXPERIENCE:

• Cross Cultural Experience.
• Operations Management and Execution.
• People Leadership.
• Process management.
• Proven Ability to Develop trust-based relationships with key regional.
• Project Management.
• stakeholders.

SKILLS:

• Agility.
• Cross-Functional Collaboration.
• Customer Engagement.
• Customer Experience.
• Customer Insights.
• Data Analytics.
• Data Strategy.
• Digital Marketing.
• Marketing Strategy.
• Media Campaigns.
• Product Marketing.
• Project Management.
• Stakeholder Engagement.
• Stakeholder Management.