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POSITION OVERVIEW

We are seeking a dynamic and visionary Senior Manager of Data Engineering to join our regional Data Engineering Chapter leadership team. This strategic role will lead the architecture, design, and implementation of scalable, efficient, and secure data solutions that power our most critical business initiatives—from foundational data management and analytics to innovative decision science and GenAI enablement, primarily focused on the Supply Chain Innovative Medicine portfolio.
As a key partner to both Regional and Global Data Engineering Service Owners and Business partners, you will drive operational excellence across data engineering services, ensure alignment with enterprise-wide technology strategies, and cultivate a high-performing, innovation-led team culture. This role demands a rare blend of technical depth, strategic foresight, and servant leadership, further developing Service Industrialization.

QUALIFICATIONS & EXPERIENCE

• Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field.
• 10+ years of experience in data engineering or similar domains, including 5+ years in a leadership capacity.
• Deep technical expertise in data architecture, cloud-based platforms (AWS, Azure, or GCP), and modern tooling (Snowflake, Databricks, dbt, and Airflow).
• Proven track record of leading enterprise data initiatives, with a strong understanding of ETL/ELT, data modelling, and data warehousing.
• Exceptional leadership and influencing skills, with the ability to get results across diverse, global, and multi-functional teams.
• Demonstrated experience in vendor/supplier management and contract performance oversight.
• Strong communication, facilitation, and decision-making skills, with a strategic mentality and execution focus