AI Forecasting Strategist

1 week ago

Pune, Maharashtra, India beBeeLeader Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Forecasting Leader

The successful candidate will lead end-to-end delivery of applied AI and analytics-driven forecasting projects, combining pharmaceutical domain knowledge with advanced data science techniques to deliver actionable insights.

Responsibilities:
  • Drive design and implementation of ML-based forecasting models, market sizing tools, and other AI solutions for commercial strategy, brand planning, and lifecycle management.
  • Translate business challenges into AI/ML use cases and oversee development and deployment of appropriate models.
  • Integrate and analyze primary research, secondary data, and third-party sources to inform strategic recommendations.
  • Conduct robust market analysis leveraging AI-based tools to provide competitive intelligence and recommendations on brand planning, lifecycle management, and launch strategies.
  • Collaborate with cross-functional teams to ensure technical robustness and business relevance of all solutions.
  • Develop and refine Excel-based and code-based forecasting models and transform them into client-facing tools and dashboards using platforms like Power BI or Tableau.
  • Continuously monitor and increase the accuracy of the forecast models.
Leadership:
  • Act as the primary client contact for key AI/analytics engagements, ensuring alignment between project deliverables and strategic business needs.
  • Facilitate client workshops, deliver strategic recommendations, and manage expectations across multiple stakeholders.
  • Present AI-enabled insights and model outputs through compelling narratives and data visualizations tailored for business leaders.
  • Stay up to date with new technological advancements in the forecasting space and be a thought partner for clients to drive innovative solutions in their organizations.
Team Leadership & Capability Building:
  • Manage and mentor teams of consultants, senior consultants, and analysts, guiding technical execution and business storytelling.
  • Contribute to the development of internal AI/analytics capabilities by codifying best practices, creating reusable frameworks, and enabling knowledge sharing.
  • Support the training and development of junior team members on AI/ML tools, pharma analytics, and client engagement.

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