Lead Data

Our client, Healthcademia, an international Higher Education Group built around a network of trusted healthcare institutions across Europe and Latin America is seeking a new Lead Data & AI Architect to own Healthcademia’s target Data and AI architecture and ensure that all partner delivered solutions can operate securely, integrate with the group technology landscape and progressively transition into ownership. Healthcademia’s high-quality programs connect learning with real-world practice through specialist expertise, active practitioners, hands-on learning and technology, helping healthcare professionals become better prepared, make confident decisions and progress throughout their careers while making a positive difference for patients and communities. The Lead Data & AI Architect will work closely with the CTO and will define the architecture principles, shared services, integration patterns and technical guardrails used for the AI transformation project. The role will challenge partner proposals, arbitrate technology choices and prevent fragmented platforms, duplicated components and long-term vendor dependency. Lead Data & AI Architect:

Key responsibilities
• Define the target Data and AI architecture
• Own architecture across lighthouse initiatives
• Design the AI platform foundations
• Own data access and integration architecture
• Embed privacy, security and responsible AI controls
• Lead technology and vendor choices
• Work closely with regional CIOs and local IT teams to ensure alignment between corporate architecture standards and local technology landscapes. Lead Data & AI Architect: Skills/experience
• Significant experience across enterprise software architecture, data architecture, cloud engineering, data engineering or enterprise integration
• Experience in a lead solution architecture or Data and AI architecture capacity
• Demonstrable experience designing and delivering at least one enterprise data or AI platform that progressed into production operation
• Deep understanding of modern data architectures, including data lakes, lakehouses, data products, ETL or ELT, streaming and data quality
• Experience designing architectures that integrate SaaS platforms and legacy systems through APIs, events and data pipelines
• Strong understanding of generative AI architecture, including model access, retrieval augmented generation, vector databases, agent orchestration, evaluation and observability
• Strong experience with Microsoft Azure and Microsoft Fabric, including OneLake, Lakehouse architectures, data integration and enterprise analytics
• Strong judgement and the ability to make pragmatic architecture decisions with incomplete information
• Confidence to challenge delivery partners and influence senior product, IT, academic and business stakeholders without relying on formal authority
• Experience in EdTech, Higher Education, Healthcare, regulated digital products or environments handling sensitive personal data is required
• Interest in education, assessment, learning effectiveness and responsible use of AI in academic environments is desired
• Professional level English and Spanish language proficiency is a must. An attractive salary plus benefits is on offer. Telfer Partners are retained to handle this opportunity.

How to apply
To apply for this position, click on the Apply Now button below or send your CV and cover letter to enquiries@telferpartners.com quoting reference TP 950. For a confidential discussion please contact us via our online form Contact us. Closing date: 16/11/26. Early applications are encouraged as we reserve the right to close this vacancy early if we find a suitable candidate. Referral Scheme Telfer Partners offer a referral reward if this vacancy is filled by someone you recommend. Please send recommendations to enquiries@telferpartners.com. Equality Policy Telfer Partners is committed to maintaining a professional and impartial recruitment process. Our Equal Opportunities policy ensures that all job applicants and employees are treated fairly regardless of their gender, sexual orientation, marital status, race, nationality, religion, age, disability, or union membership status.