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Head of PT Data Engineering

Head of PT Data Engineering

Head of PT Data Engineering

Head of PT Data Engineering

Roche

Pharmazeutische Produkte, Arzneimittel

Basel

  • Art der Anstellung: Vollzeit
  • Vor Ort
  • Zu den Ersten gehören

Head of PT Data Engineering

Über diesen Job

JOB DESCRIPTION

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Position

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.

The Head of PT Data Engineering will be instrumental in building the robust data backbone that powers PT's digital transformation and data driven decision making. Reporting into the One PT Data Office, this critical role is accountable for leading a cutting-edge internal and external global data engineering team. You will define the strategy, evolve the data platforms and processes, and oversee the delivery of scalable, high-quality data products to enable advanced analytics, AI initiatives, and critical business processes across Pharma Technical Operations. You will lead a critical team of internal and external data engineers, fostering a culture of technical excellence, innovation, and continuous delivery. This pivotal role requires a visionary leader to build and manage the foundational data infrastructure, pipelines, and platforms that enable the seamless flow of high-quality, FAIR data from diverse sources to data consumers, ensuring compliance, scalability, and future readiness for PT's ambitious digital agenda.

The Opportunity

  • 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.

Who You Are

  • 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.

Ready for the next step? We look forward to hearing from you. Apply now to discover this exciting opportunity!

Who we are

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.

Unternehmens-Details

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Roche

Pharmazeutische Produkte, Arzneimittel

10.001 oder mehr Mitarbeitende

Basel, Schweiz

Bewertung von Mitarbeitenden

Vorteile für Mitarbeitende

Flexible Arbeitszeiten
Home-Office
Kantine
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Kinderbetreuung
Betriebliche Altersvorsorge
Barrierefreiheit
Gesundheitsmaßnahmen
Betriebsarzt
Training
Parkplatz
Günstige Anbindung
Vorteile für Mitarbeitende
Firmenwagen
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Gewinnbeteiligung
Veranstaltungen
Privat das Internet nutzen
Hunde willkommen

Unternehmenskultur

Unternehmenskultur

814 Mitarbeitende haben abgestimmt: Sie bewerten die Unternehmenskultur bei Roche als modern.Dies stimmt ungefähr mit dem Branchen-Durchschnitt überein.

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