Supply Chain Digital Transformation Leader

20 hours ago

Madurai, Tamil Nadu, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Description

This is a leadership role that involves developing and implementing data-driven strategies to enhance procurement, planning, third-party manufacturing, and distribution processes. The ideal candidate will have experience in leading digital transformation and AI/ML deployment at scale in the pharmaceutical or healthcare industry.

Key Responsibilities
  1. Develop and execute a comprehensive supply chain data science and AI strategy to optimize supply chain operations that align with procurement and planning and distribution objectives.
  2. Identify and integrate key data sources (internal and external) to enhance visibility and accuracy in procurement decisions and planning & distribution processes.
  3. Evaluate and implement emerging technologies and tools (e.g., GenAI, IoT, digital twins) that enhance data collection, analysis, and visualization capabilities.
  4. Collaborate with procurement and planning and distribution teams to prioritize data science initiatives that drive operational efficiencies and cost savings.
Advanced Analytics and Modeling for Supply Chain Optimization
  1. Lead the initiative to deploy scientific (based on secondary stock and sales data) replenishment strategies in Trade (India and Global markets).
  2. Design and implement predictive AI/ML models to enhance demand forecasting accuracy, optimize inventory levels, distribution planning and improve supplier performance evaluation.
  3. Drive innovation by exploring and implementing advanced analytics techniques, machine learning models, and AI algorithms to derive insights and create value from large, complex datasets.
  4. Utilize machine learning algorithms to analyze historical data and identify trends that inform procurement strategies and planning cycles.
  5. Develop advanced analytics solutions to assess the performance of third-party manufacturers and optimize distribution logistics.
Team Leadership and Development in Data Science
  1. Lead and mentor a team of data scientists and analysts, machine learning engineers and AI experts fostering a culture of innovation, collaboration, and continuous learning focused on procurement and supply chain challenges.
  2. Set clear performance expectations and provide regular feedback to team members to support their professional development in data science applications.
  3. Encourage knowledge sharing and best practices within the team to enhance overall capabilities and effectiveness in addressing procurement and supply chain needs.
  4. Work closely with the SCM Academy to build data literacy and analytics capability across the function.
Performance Measurement and Reporting for Continuous Improvement
  1. Develop key performance indicators (KPIs) to measure the impact of data science initiatives on procurement, planning, third-party manufacturing, and distribution performance.
  2. Regularly report on the progress of analytical projects and their outcomes to senior leadership and stakeholders, highlighting successes and areas for improvement.
  3. Conduct post-implementation reviews to assess the effectiveness of data-driven solutions and identify opportunities for further optimization in supply chain processes.

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