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A leading pharmaceutical company is seeking a data engineering leader to provide strategic direction and oversight for its global data platforms. With over 12 years in data engineering and substantial team leadership experience, you will drive the design and evolution of scalable data infrastructures. This role requires expertise in cloud-based platforms and a strong understanding of data governance standards. Join us in building solutions that enhance healthcare access worldwide.
The Pharma Technical Operations (PT) department is establishing the One PT Data Office to serve as the strategic center for data governance, strategy, and enablement across the entire global PT network. This team is at the heart of our digital transformation, responsible for architecting and leading a central data office to unlock the full potential of PT’s data assets.
Provide strategic leadership and vision for PT's global data engineering capabilities, defining the roadmap for data ingestion, transformation, storage, and consumption architectures.
Accountable for the design, development, and evolution of scalable, robust, and cost-effective data platforms (e.g., data lakes, data warehouses, streaming platforms) that support PT's advanced analytics, AI/ML, and data product needs.
Define and implement best practices, standards, and guidelines for data modeling, ETL/ELT processes, data quality, and data pipeline orchestration across the PT landscape.
Actively monitor and integrate cutting-edge industry trends, emerging data engineering technologies, and cloud-native solutions to continually optimize PT's data infrastructure in close collaboration with IT.
Build, mentor, mobilize, and empower a high-performing, global team of internal and external data engineers, fostering a culture of technical excellence, innovation, and agile delivery.
Accountable for the end-to-end delivery and operational excellence of critical data pipelines, ensuring timely, accurate, and reliable data availability for PT's business processes and analytical use cases.
Ensure data infrastructure and pipelines adhere to strict quality, security, and compliance standards (e.g., GxP, data integrity, data privacy), collaborating closely with Data Governance and Cybersecurity teams.
Drive the automation and optimization of data engineering workflows to enhance efficiency, reduce manual effort, and improve data freshness.
12+ years of progressive experience in data engineering, data platform architecture, or related roles within a complex, global enterprise, preferably in life sciences/pharma and 7+ years of senior leadership experience, specifically building, developing, and leading large, global teams of data engineers.
Proven track record of successfully designing, implementing, and scaling robust data pipelines and cloud-based data platforms (AWS, Azure, GCP data services) for advanced analytics and AI/ML.
Expert-level knowledge of modern data architectures, ETL/ELT, data orchestration, and data quality management.
Strong understanding of GxP, data integrity, and data privacy regulations in a manufacturing context.
Exceptional strategic thinking, communication, and influencing skills to lead and align diverse stakeholders globally.
Bachelor's degree in a relevant technical field required; Master's or advanced certifications are highly advantageous.
A healthier future drives us to innovate. Together, more than 100’000 employees across the globe are dedicated to advance science, ensuring everyone has access to healthcare today and for generations to come. Our efforts result in more than 26 million people treated with our medicines and over 30 billion tests conducted using our Diagnostics products. We empower each other to explore new possibilities, foster creativity, and keep our ambitions high, so we can deliver life-changing healthcare solutions that make a global impact.
Let’s build a healthier future, together.
Roche is an Equal Opportunity Employer.