Summary

About the role:

The Digital Finance function within Novartis is responsible for driving the data and tools, AI and ML strategy for finance across the organization. We are seeking a highly skilled and motivated Global Process Owner for Predictive Sales Forecasting process. The role is based in Hyderabad.
The Global Process Owner for Predictive Analytics is responsible for owning, continuously improving, and delivering flawless operations of various processes within the Digital Finance team. This role requires expertise in predictive tools and a strong focus on process optimization. The Global Process Owner will collaborate with cross-functional teams to ensure effective execution while innovating and implementing best practices in predictive analytics

• Process Ownership: Oversee and have end-to-end responsibility for multiple processes within the predictive analytics team, such as Sales, S&OP, MCF and RA forecasting and other upcoming predictive process.
• Continuous Improvement: Identify opportunities for process optimization, develop and implement strategies to ensure timely forecasting, enhance efficiency, ensure accuracy and high-quality forecast for all relevant areas.
• Stakeholder Collaboration: Collaborate with business partners as well as within the Digital Finance team based out of Barcelona, Basel and Hyderabad to understand their requirements, gather feedback and align predictive analytics processes accordingly.
• Collect Country/ Region /Unit BPA feedback to ensure customer centric issues are addressed promptly toward improving the Predictive processes. Flawless Execution: Ensure flawless and error-free execution of all predictive analytics processes, adhering to defined timelines, standards and quality guidelines.
• Business Analysis and Interpretation: Analyse large datasets, interpret trends, patterns and correlations for accurate predictions in each process, either independently or in collaboration with Data Analysts.
• Performance Monitoring: Monitor and analyse key performance indicators (KPIs) and metrics related to each predictive analytics process, identifying deviations and taking corrective actions proactively.
• Training and Development: Provide training and support to team members on predictive analytics tools, techniques and methodologies specific to each process, ensuring their skills and knowledge are up-to-date.
• Best Practices Implementation: Research, recommend and implement predictive analytics best practices for each process to drive continuous improvement and ensure state-of-the-art operations.
• Risk Management: Identify process-specific risks, develop mitigation strategies and establish controls to minimize their impact on the accuracy and quality of predicted outcomes. Ensure proper back up is created across sub process and the overall Predictive process for a seamless delivery.
• Predictive Tools Expertise: Demonstrate extensive proficiency in utilizing predictive analytics tools, including statistical models, machine learning algorithms, data visualization techniques, and process-specific tools.

• Data Accuracy and Quality: Measure the accuracy and quality of the data analysis performed by the Data Analyst.
• Efficiency and Timeliness: Measure the efficiency and timeliness of the data analysis process.
• Internal customer satisfaction with quality, appropriateness, and timeliness of financial analyses provided -Reliability, timeliness and accuracy of budgetary and financial forecasts -Accuracy of early-warning system and results.
• Managing risks and ops efficiently for the line of business

• CA/ Btech with Overall 5+ years of experience mainly in Predictive or Finance transformation projects
• Global/multi-function project and change management experience
• Proven track record on process improvements and change management