Supply Chain Digital Transformation Strategist

The Supply Chain Transformation Leader will lead the development and implementation of data-driven strategies to enhance procurement, planning, and distribution processes.

This role aims to leverage advanced analytics and artificial intelligence to optimize operations, drive efficiencies, and support high-quality healthcare solutions.

• Data Strategy Development
  • Develop a comprehensive supply chain data science strategy to optimize operations that aligns with procurement and planning objectives.
  • Identify and integrate key data sources to enhance visibility and accuracy in procurement decisions and planning processes.
  • Evaluate and implement emerging technologies 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.
• Advanced Analytics and Modeling
  • Lead the deployment of scientific replenishment strategies in trade (India and global markets).
  • Design and implement predictive AI/ML models to enhance demand forecasting accuracy, optimize inventory levels, and improve supplier performance evaluation.
  • Drive innovation by exploring and implementing advanced analytics techniques, machine learning models, and AI algorithms to derive insights from large 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
  • 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 process automation in alignment with roadmap goals.
  • Facilitate workshops and training sessions to educate stakeholders on data science methodologies and the value of data-driven decision-making.
  • 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 needed.
• 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.
  • 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
  • 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.
  • 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.
  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.
  • Functional/Behavioral Skills: Proficiency in data science tools, data warehouses, and programming languages. Experience with machine learning algorithms, statistical modeling, and data visualization tools. Strong understanding of supply chain processes, procurement strategies, and planning methodologies.