Data-Driven Supply Chain Expert

We are seeking a seasoned leader to spearhead our supply chain transformation initiatives. As Supply Chain Transformation Lead, you will be responsible for driving the development and implementation of data-driven strategies to enhance procurement, planning, third-party manufacturing, and distribution processes.

This role aims to leverage advanced analytics and Artificial Intelligence / Machine Learning to optimize operations, drive efficiencies, and support our commitment to delivering high-quality healthcare solutions.

• Main Responsibilities:
• 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.

• Additional Responsibilities:
• Lead the initiative to deploy scientific (based on secondary stock and sales data) 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.

• Key Collaboration Points:
• Work closely with cross-functional teams, including procurement, supply chain, planning, and IT, to identify data needs and ensure alignment on data initiatives.
• Support initiatives like Control Towers, Predictive Analytics, and Agentic Process Automation (APA) in alignment with GSCM's roadmap.
• Facilitate workshops and training sessions to educate stakeholders on data science methodologies and the value of data-driven decision-making in procurement and supply chain operations.
• Act as a liaison between data science team and business units to ensure that data solutions meet operational requirements and enhance overall performance.

• Data Governance and Compliance:
• Develop and implement 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:
• 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.
• Set clear performance expectations and provide regular feedback to team members to support their professional development in data science applications.

• Performance Metrics:
• Develop key performance indicators (KPIs) to measure the impact of data science initiatives on procurement, planning, third-party manufacturing, and distribution performance.
• Regularly report on the progress of analytical projects and their outcomes to senior leadership and stakeholders, highlighting successes and areas for improvement.