Digital Supply Chain Innovation Director

This role involves leading the development and implementation of data-driven strategies to enhance procurement, planning, third-party manufacturing, and distribution processes.

• Create and execute a comprehensive supply chain data science and AI strategy to optimize operations that align with procurement and planning 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 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 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.

Leadership and Collaboration 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 organizational goals.
• Foster collaboration among stakeholders to ensure data solutions meet operational requirements and enhance overall performance.

Mastery of 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 compliance with industry regulations, data privacy laws, and internal policies to safeguard sensitive procurement and supply chain information.

Team Leadership and Development in Data Science

• Lead and mentor a team of data scientists and analysts, 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.

Key Performance Indicators: Develop metrics to measure the impact of data science initiatives on procurement, planning, third-party manufacturing, and distribution performance. Regularly report on progress and outcomes to senior leadership and stakeholders.

Required Skills and Qualifications:

• 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

Technical Competencies:

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

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