High Salary: Team Lead, Forecasting

2 days ago

Hyderabad Warangal Nizamabad, India Sandoz Full time
Job Description

Job Summary

- Dual Role Contribution: Balance individual contribution (50%) and operational/team management (50%) for early pipeline, in-line, and BD&L forecasting projects.
- Team Management: Manage, coach, and develop the Forecasting Engagement team, fostering a high-performance culture.
- Strategic Input: Provide strategic input, lead cross-functional initiatives, and ensure alignment with organizational goals.
- Process Development: Craft and sustain forecasting processes, providing strategic direction and empowering the team.
- Innovation and Efficiency: Lead continuous innovation and efficiency within the team, coordinating with global and country stakeholders.
- Project Updates: Deliver impactful project updates to senior leadership and guide the team in effective communication practices.
- Model Accuracy: Ensure the accuracy and reliability of forecasting models through continuous improvement and validation.
- Team Support: Guide and support the team to achieve high-impact results, optimize performance, and drive continuous improvement.
- Opportunity Exploration: Lead the team in exploring and implementing forecasting opportunities for portfolio and brand teams.
- Customer Interface: Interface closely with customers to understand and convert business requirements into solutions.

What you ll bring to the role:

Essential Requirements:

Education(minimum/desirable): Graduate / Post Graduate in Technology or Data Science related domains

Languages:Fluency in English is prerequisite, while knowledge of other in-scope country languages would be an advantage

Experience:

- Proven experience in pharmaceutical forecasting, with a strong understanding of the biopharma industry.
- Excellent leadership and team management skills.
- Strong analytical and problem-solving abilities.
- Excellent communication and presentation skills...

Preferred Qualifications:

- Prior experience in Biosimilar/ generic pharma industry (good to have)
- Experience with advanced forecasting techniques and machine learning models- (good to have)
- Knowledge of regulatory requirements and market access strategies in the pharmaceutical industry.

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