Head of Data Science & AI Engineering
Listed on 2026-04-20
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IT/Tech
AI Engineer, Data Analyst, Data Science Manager, Data Engineer
Summary
The Head of Data Science & AI Engineering is a pivotal role within the Global Data & AI Department. This position acts as a leader and strategist, responsible for developing and governing the technical strategy and the capabilities for enterprise advanced analytics and AI that enable Ipsen's Business Data & AI Strategy. The Head of Data Science & AI Engineering fosters deep partnerships with business domains, provides technical leadership for data/AI initiatives, and oversees the entire lifecycle of data and AI products, including the development of internal products and the adoption of third‑party off‑the‑shelf AI solutions.
Additionally, this position champions the Data Science & AI Center of Excellence, mentors a team of data scientists, data engineers, and AI engineers, and drives the adoption of new tools and technologies to enhance the team's capabilities. Effective communication with business leaders and stakeholders, as well as ensuring compliance with internal policies and relevant regulations, are also key responsibilities of this role.
Global Digital IT (GDIT) division
The Global Digital IT (GDIT) division is dedicated to being the business partner of choice for digital, data, and technologies, delivering outstanding value at speed and scale for patients and Ipsen. In this transformative context, GDIT plays a crucial role in driving innovation and efficiency across the organization. The Global Data & AI Division within GDIT was established to enhance Ipsen's Data and AI capabilities and serve as a key business enabler.
It is a central hub for Data, Analytics, and AI that unites diverse expertise to foster collaboration and deliver value throughout the data lifecycle. The division is structured around six core functions – Data & AI Strategy, Product & Delivery Management, Data Science & AI Engineering, Data Integration & Analytics, Data Governance & Data Management, Platform Engineering – to ensure the comprehensive delivery of data and AI initiatives while maintaining strong, scalable data governance and foundations.
Responsibilities
- Design, implement and govern the technical strategy for enterprise advanced analytics and AI, ensuring robust and scalable capabilities, standards, methodologies, and best practices that enable Ipsen's Business Data & AI Strategy. Ensure this technical strategy adheres to Ipsen's internal policies and external regulatory requirements.
- Be a key contributor of the overall enterprise AI strategy, in collaboration with GDIT and with the business.
- Foster deep partnerships with business domains to understand their needs, explore new opportunities, and deliver data/AI solutions that drive business value.
- Provide technical leadership for advanced analytics and AI initiatives. Oversee the entire development lifecycle of data and AI products, from feasibility to MVP development, scaling, and maintenance, either through direct involvement or by providing supervision and guidance.
- Ensure adherence to best practices in AI and data science, maintaining high‑quality delivery, reliability, and performance throughout all stages of the product lifecycle.
- Oversee and ensure the integration of data & AI models into existing systems and seamless deployment and monitoring of AI models in production environments.
- Conduct comprehensive assessments and evaluations of third‑party AI solutions, considering technical performance, regulatory compliance, security standards, and alignment with Ipsen's strategic objectives. Ensure that selected solutions meet the highest standards of quality, reliability, and ethical practices. Support the adoption across Ipsen of the third‑party AI solutions, such as enterprise productivity solutions, to enhance operational efficiency and innovation.
- Develop and implement metrics to monitor the performance and impact of AI and data science initiatives. Regularly report on the progress and outcomes of projects to senior leadership and stakeholders.
- Lead the Data Science & AI Center of Excellence, acculturating the Global Digital, IT teams, and the Business Functions, while fostering and animating the Data Science & AI engineering community…
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