Digital Supply Chain Transformation Leader

1 week ago

Jodhpur, Rajasthan, India beBeeData Full time ₹ 2,50,00,000 - ₹ 3,00,00,000
**Lead Supply Chain Digital Transformation Role Summary** The Lead Supply Chain Digital Transformation role is designed to leverage advanced analytics and artificial intelligence/machine learning to optimize operations, drive efficiencies, and support high-quality healthcare solutions. Key Responsibilities: 
  • Develop a comprehensive supply chain data science and AI strategy to optimize supply chain operations that align with procurement and planning objectives.
  • Identify and integrate key data sources (internal and external) to enhance visibility and accuracy in procurement decisions and planning processes.
  • Evaluate and implement emerging technologies and tools to enhance data collection, analysis, and visualization capabilities.
  • Collaborate with procurement and planning teams to prioritize data science initiatives that drive operational efficiencies and cost savings.
 Supply Chain Optimization:  
  • Deploy scientific replenishment strategies in Trade (India and Global markets)
  • Design and implement predictive AI/ML models to enhance demand forecasting accuracy, optimize inventory levels, distribution planning, and improve supplier performance evaluation.
  • 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.
  • Utilize machine learning algorithms to analyze historical data and identify trends that inform procurement strategies and planning cycles.
 Master Data Governance and Quality Assurance: 
  • Develop master data governance frameworks to ensure data integrity, quality, and security across all data science initiatives related to procurement, planning, and distribution.
  • Design and oversee data quality checks and validation processes to maintain high standards of data accuracy and reliability in analytics outputs.
  • Ensure that all data science and AI initiatives comply with industry regulations, data privacy laws, and internal policies to safeguard sensitive procurement and supply chain information.
 Team Leadership and Development in Data Science: 
  • Lead and mentor a team of data scientists and analysts, fostering a culture of innovation, collaboration, and continuous learning focused on procurement and supply chain challenges.
  • Set clear performance expectations and provide regular feedback to team members to support their professional development in data science applications.
 Stakeholder Management: 
  • Internal - Global Head of Digital Transformation and Operational Excellence, Procurement Team, Supply Chain Management Team, Planning Team, Finance Team, IT and Data Engineering Teams
  • External - Third-party manufacturers and suppliers, Stockists, Logistics service providers, Data analytics vendors and consultants

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