• Drive the Roadmap: Contribute innovative ideas to the technical and product roadmaps, estimating effort for discovery and high-velocity execution. • Collaborate & Translate: Work closely with product managers and engineers to turn abstract business needs into scalable technical implementations. • Predict & Prevent: Proactively solve code challenges by anticipating breaks and considering the downstream impacts of your solutions. • Own the Lifecycle: Take full end-to-end responsibility for complex initiatives, from initial scoping with stakeholders to production deployment and maintenance. • Lead by Example: Improve departmental code quality through thoughtful, detailed code reviews and by establishing team-level best practices for AI-assisted development. • Innovate: Stay ahead of industry trends, introducing new techniques and keeping a rigorous record of tech debt with clear paths to resolution.

• Lead data management for complex, global clinical trials from study setup to database lock • Serve as the main client contact for all data management deliverables • Oversee SAE, PK, and external data reconciliation and database deployment • Manage timelines, budgets, and resource allocation to meet customer expectations • Mentor junior data management staff and promote best practices • Drive process improvements and ensure regulatory and SOP compliance

• Coordinate and align data products across business domains, ensuring consistency in priorities, ownership, and delivery expectations while establishing clear accountability • Serve as the primary coordination point between business stakeholders and data delivery teams, driving execution across a matrixed organization and influencing teams to deliver shared outcomes • Lead intake, prioritization, and demand management of data initiatives, aligning organizational priorities with capacity and maintaining visibility into dependencies and risks • Orchestrate end-to-end delivery across Data Ingestion, Data Engineering, and Data Distribution functions, resolving dependencies and ensuring consistent execution • Establish communication frameworks, governance structures, and reporting mechanisms that provide transparency into portfolio health and delivery metrics • Lead the Data Product Coordination function, establishing processes, operating model standards, and performance management discipline across matrixed teams • Build and develop a team of Data Product Coordinators aligned to specific business domains (Clinical, Corporate, Commercial), ensuring they develop deep domain expertise and act as primary alignment points between business and technical teams • Coach and develop talent, establishing clear roles, accountability, and performance expectations while building strong domain, delivery, and stakeholder management capabilities

• Lead the development and deployment of advanced analytics, AI/ML, GenAI, and digital solutions that transform Global Supply Chain operations and enable reliable delivery of critical medicines to patients worldwide. • Design and deploy AI, GenAI, Agentic, and advanced analytics solutions to transform end-to-end Supply Chain operations. • Lead the development of scalable digital products, analytical applications, and automation capabilities using large and complex datasets. • Help establish and scale a Global Supply Chain Digital capability team in India, including organizational design, operating model development, governance, and delivery processes. • Provide leadership and oversight for global teams of data scientists and digital developers across onshore and offshore locations. • Partner with business leaders, IT, and data engineering teams to deliver robust, scalable, and business-aligned analytics solutions. • Develop impactful visualizations and executive-level insights that support strategic decision-making and operational transformation. • Explore and implement emerging technologies and modern data science practices to enhance organizational capabilities. • Lead productivity analytics initiatives and develop KPIs and performance metrics that drive operational excellence across the global supply chain. • Mentor and develop Digital/Data Science staff while fostering a culture of innovation, collaboration, and continuous improvement.