Program Manager - Education and Innovation

"The Swiss Data Science Center (SDSC) is a national research infrastructure in data science, machine learning and artificial intelligence (AI), founded by EPFL and ETH Zurich. Its mission - to enable data-driven science and innovation for societal impact - drives its initiatives in research projects, knowledge and technology transfer, and education. With a large multidisciplinary team of professionals in Lausanne, Zurich and at PSI in Villigen, the SDSC provides expertise and services to various domains, such as health and biomedical, energy and sustainability, climate and environment, digital society, and large-scale scientific infrastructures. The SDSC also contributes to initial and executive education programs at EPFL and ETH Zurich. For more information please visit: www.datascience.ch .

We are looking for a Program Manager to develop and manage our continuing education portfolio and support our applied innovation activities. You will act as a bridge between our innovation,research and engineering teams and our academic, industrial, and public-sector partners. Your role will be to understand their needs and translate them into high-impact training programs, events and collaborative projects.

Continuing education and events

• Independently develop and manage training offerings for executives, AI experts, and the broader workforce of partner organizations: qualifying leads, scoping and designing programs, and overseeing their delivery.

• Design, plan, and run community-building events (hackathons, conferences, workshops) to strengthen our network and showcase the institution's expertise.

• Represent the organisation with academic and non-academic entities and continuing-education partners, and actively develop collaborations in this area.

• If applicable, develop educational material in the AI and data science field, teach courses and hands-on workshops

Innovation projects and calls for projects

• Handle leads and requests for applied-research collaborations (direct mandates, research agreements). Manage and coordinate responses to calls for projects.
• Manage contracting with clients in coordination with academic legal services, and handle institutional communication through the official contact mailbox.

The ideal candidate has:

• Proven experience in program or project management, ideally in continuing education, innovation, or technology transfer.

• Good understanding of data science and AI, and of the Swiss academic and innovation landscape.

• Strong relationship-building and negotiation skills with stakeholders ranging from executives to researchers.

• Experience organizing events such as conferences, workshops, or hackathons.

• A master or PhD in a relevant field (e.g., data science, engineering, business, education) - or equivalent professional experience - is an advantage.

• Fluency in English and French; German is a plus.

• A meaningful role at the heart of the Swiss data science and AI ecosystem, in partnership with EPFL and ETH Zurich.

• A dynamic, multidisciplinary, and international team.

• Attractive employment conditions in line with ETH Domain standards, and flexible working arrangements.

• Continuous learning opportunities and exposure to cutting-edge research and innovation.

We actively promote a healthy work-life balance in the workplace. Part-time arrangements and flexible hours can be explored based on individual circumstances. We are looking for candidates willing to contribute to an inclusive environment and eager to learn continuously.

Contract Start Date : 09/01/2026

Activity Rate : 80,00

Contract Type: CDD

Duration: 1 year, renewable

Reference: 2349

We look forward to receiving your onloine application including a letter, CV and diploma(s). Applications via email or postal services will not be considered. For further information about the Swiss Data Science Center please visit our website: www.datascience.ch

Questions regarding the position should be directed to Write an email with the job n° reference.

Remark :

Only candidates who applied through EPFL website or our partner Jobup's website will be considered.

Files sent by agencies without a mandate will not be taken into account.