Key Responsibilities:
1. Develop and monitor performance metrics for Digital Finance products
2. Provide additional support to ad-hoc POC projects within the Digital Finance Hub
3. Work closely with the broader Digital Finance team to define data requirements for next generation AI / ML tools to improve decision-making and efficiencies
4. Identify areas of inefficiencies in the application of AI / ML / digital and implement improvements towards a highly efficient, “industrialized” approach in planning and forecasting
5. Continually improve and streamline existing management reporting processes and support the definition and implementation of lean processes to meet the changing demands of the business
6. Co-develop vision and support prioritization of new AI decision-making tools in close alignment with the BPA / Finance function
7. Own selected AI / ML products and head their design, development, and implementation by orchestrating the right resources across data science and visualization experts. Ensure successful roll-out and adoption across IM
8. Connect newly designed solutions and processes with operational links and leverage operations acumen to pragmatically implement in the NVS environment
9. Coordinate with other digital / AI initiatives (e.g. commercial, other Novartis units), identify potential overlaps / synergies, and co-create a holistic digitalization roadmap. Co-shape the future organization of BPA / Finance function to realize systemic evolution
10. Identify industry benchmarks that trigger change initiatives. Propose innovative approaches to operations and own their realization from presentation to top management to execution and delivery of results
Minimum Requirements:
1. University degree in Business Administration or similar diploma, recognized financial qualification
2. 3-4 years of blue chip financial experience in the healthcare / Pharmaceutical industry
3. Strong communication and stakeholder management skills, capable of interacting with senior leadership
4. Proficiency in English
5. Strong analytical skills with proficiency in data modeling, statistical analysis, and financial forecasting
6. Proficiency in data visualization tools (e.g., Power BI, Qlik Sense) and advanced Excel skills including data transformation tools such as Power Query and Power Pivot
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