Team Lead, Forecasting

12 - 18 years

12 - 18 Lacs

Posted:2 weeks ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

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

Languages:

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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