
Digital Transformation Leader
3 days ago
Role Summary
We are seeking a seasoned professional to lead our Supply Chain Digital Transformation efforts. The successful candidate will be responsible for developing and implementing 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- Data Strategy Development for Procurement and Planning and Distribution: 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.
- Advanced Analytics and Modeling for Supply Chain Optimization: Design and implement predictive AI/ML models to enhance demand forecasting accuracy, optimize inventory levels, distribution planning, and improve supplier performance evaluation.
- 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.
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.
Role Profile Requirements- Education: Master's degree or PhD in Data Science, Statistics, Engineering, Computer Science, or a related field.
- Experience: 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.
- Technical / Functional Competencies: Proficiency in data science tools, data warehouses, and programming languages (e.g., Python, R, SQL, Agentic AI (MCP), AWS, Azure etc.).
- Behavioral Competencies: Strong understanding of supply chain processes, procurement strategies, and planning methodologies.
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