AI Project Manager

Sanoma; Madrid; On-site; EUR 50,000 - 75,000; Full time

Job summary

Sanoma Learning is seeking an AI Project Manager to join the AI Enablement team. You will serve as the bridge between AI initiatives and the rest of the organization, ensuring AI content is understood and actionable for colleagues, customers, and partners.

Reporting to the Senior Director, you will work across Communications, Strategy, M&A, Legal and product teams, coordinating materials, events and external publications to advance Sanoma Learning's AI agenda.

Responsibilities

• Act as AI team's counterpart to the Communications function: bring content, context and experts, and coordinate AI delivery.
• Own editorial cycle of the AI update newsletter: collect input, shape the story, manage calendar and reviews with Communications.
• Run AI webinar and event series: plan programme, speakers, and presenter prep; manage logistics and follow-ups.
• Curate and maintain the AI Hub: ensure current content structure and compile contributions.
• Coordinate AI content for external website and corporate channels: gather input and coordinate publication with Communications.
• Sync a shared AI communications calendar with communications to sequence announcements and events.

Job description

At Sanoma Learning, we all share a deep-rooted passion for education and are committed to support teachers to help all students to reach their potential, so they can be at their best in class. We are proud of the impact we make together across Europe, local as well as international. As our teams and the scope of our impact grows, so do the opportunities for us to learn from each other - across country borders and areas of expertise. With over 3.000 colleagues, we work on seamlessly integrated print, digital and blended learning solutions to help teachers and schools develop the talents of every child. Our people are passionate and committed and always willing to go the extra mile for students, teachers, schools, our shareholders and each other.
We believe that Data and AI can uncover multiple opportunities for education, including both internal efficiencies and new product opportunities; currently AI is a priority theme for Sanoma Learning.

AI Project Manager

The AI Project Manager is part of the AI Enablement team - the small central team that makes AI work at Sanoma Learning possible: setting direction, building the foundations, and connecting the many parties involved. The team works as a flexible unit: members take ownership of the initiatives that matter most at a given moment, and capacity is redirected as priorities shift.

Within that team, this role carries a clear centre of gravity: it is the connection point between AI at Sanoma Learning and the outside world, and between the AI team and the functions that own communication and strategy. The role does not replace those functions. It makes sure they have the AI substance, the right experts and the right coordination to do their work well - and it turns what the AI teams do into something that colleagues, customers, partners and the wider education community can understand and engage with.

Reporting to the Senior Director, Head of Data and AI, the AI Project Manager works across operating companies and central functions - Communications, Strategy, M&A, Legal and the product and experimentation teams - and represents the AI agenda in those forums. This role also assumes matrix reporting into the Competence Lead of Project Management.

Key Responsibilities

AI communication - internal and external

• Acting as the AI team's counterpart to the Communications function: bringing the content, the context and the experts, and coordinating the AI side of delivery.
• Own the editorial cycle of the AI update newsletter - collect input from AI initiatives and opcos, shape the story, manage the calendar and the review loop with Communications.
• Run the AI webinar and event series - programme, speakers, preparation of presenters, logistics with the relevant functions, and follow-up.
• Curate and maintain the AI Hub - keep it current and usable, agree the content structure with contributing teams, and chase the contributions that make it worth visiting.
• Coordinate AI content for the external website and corporate channels - gather and quality-assure input from the AI teams, propose what should be told publicly, and work with Communications, who own publication.
• Sync a shared communication calendar for AI with communications - so that announcements, launches, webinars and external moments are sequenced rather than colliding.

Thought leadership and external presence

• Working with the Strategy function, which owns Sanoma Learning's thought leadership agenda, to ensure AI is represented with credible substance.
• Build and manage a pipeline of external speaking opportunities - identify the conferences and forums worth being at, manage submissions and deadlines, and match the right internal speaker to each.
• Prepare speakers and material - coordinate narrative, evidence and rehearsal so that colleagues representing Sanoma Learning externally are well equipped.
• Drive the production of white papers and publications on AI in education - coordinate authors, source the evidence from our own initiatives, and run the process to publication with Strategy and Communications.
• Manage relationships with research institutions and academic partners - keep the contacts warm, track joint work, and identify where research collaboration strengthens our position.
• Track the external conversation on AI in education - what peers, policymakers and researchers are saying - and feed that back into the AI agenda.

AI partnership and M&A funnel

• Owning the front end of the AI partnership pipeline, feeding the teams that own the decisions and the transactions.
• Build and maintain the funnel of AI-related partnership and acquisition opportunities - sourcing, structured overview, status and next steps.
• Run first-pass screening of candidates - what they do, how it relates to our AI direction, what a fit would look like - and prepare the material that lets leadership decide what to pursue.
• Organise the AI-side assessment - pull in the technical, product, privacy and compliance expertise needed to evaluate an