Digital Transformation Lead

2 days ago

Mysore, Karnataka, India beBeeDataScientist Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

Job Summary:

Lead the development and implementation of data-driven strategies to enhance procurement, planning, third-party manufacturing, and distribution processes. Leverage advanced analytics and Artificial Intelligence / Machine Learning to optimize operations, drive efficiencies, and support high-quality healthcare solutions.

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  • Develop and execute a comprehensive Supply Chain data science and AI strategy to optimize supply chain operations that aligns with procurement and planning and distribution objectives, focusing on service levels and cost to serve models
  • Identify and integrate key data sources (internal and external) to enhance visibility and accuracy in procurement decisions and planning & distribution processes.
  • Evaluate and implement emerging technologies and tools (e.g., GenAI, IoT, digital twins) that enhance data collection, analysis, and visualization capabilities.
  • Collaborate with procurement and planning and distribution teams to prioritize data science initiatives that drive operational efficiencies and cost savings.
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Key Responsibilities:

1. Develop scientific replenishment strategies in Trade (India and Global markets)

  • Deploy 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.
  • Develop advanced analytics solutions to assess the performance of third-party manufacturers and optimize distribution logistics.
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Team Leadership and Development:

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.

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Education and Experience:

Master's degree or PhD in Data Science, Statistics, Engineering, Computer Science, or a related field

12-15 years of experience in data science, analytics, or related fields, with a focus on procurement, planning, third-party manufacturing, or distribution and proven experience in leading digital transformation and AI/ML deployment at scale in the pharmaceutical or healthcare industry.

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Technical Competencies:

  • Proficiency in data science tools, data warehouses and programming languages (e.g., Python, R, SQL, Agentic AI (MCP), AWS, Azure etc.).
  • Experience with machine learning algorithms, statistical modeling, and data visualization tools (e.g., Tableau, Power BI, Gen AI).
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Behavioral Competencies:

  • Strong understanding of supply chain processes, procurement strategies, and planning methodologies.
  • Excellent leadership and team management skills.
  • Strong analytical and problem-solving abilities.
  • Effective communication and interpersonal skills, with the ability to influence stakeholders at all levels.
  • Strategic thinking and a results-oriented mindset.
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