Supply Chain Digital Transformation Strategist

Supply Chain Digital Transformation Lead

Our company seeks a Supply Chain Digital Transformation Lead to lead 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.

Key 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

Advanced Analytics and Modeling for Supply Chain Optimization

• Lead the initiative to 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
• Develop advanced analytics solutions to assess the performance of third-party manufacturers and optimize distribution logistics

Collaboration and Stakeholder Engagement Across Functions

• 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
• Communicate findings, recommendations, and project updates to senior management and key stakeholders as and when required

Master Data Governance and Quality Assurance

• 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
• Develop strategies to protect sensitive data and ensure compliance with data protection regulations, including monitoring and responding to potential data breaches
• Ensure robust documentation, model governance, and audit-readiness of all analytics solutions

Team Leadership and Development in Data Science

• 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
• Encourage knowledge sharing and best practices within the team to enhance overall capabilities and effectiveness in addressing procurement and supply chain needs
• Work closely with the SCM Academy to build data literacy and analytics capability across the function

Performance Measurement and Reporting for Continuous Improvement

• 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
• Conduct post-implementation reviews to assess the effectiveness of data-driven solutions and identify opportunities for further optimization in supply chain processes

---