PbJob Title /b- AI Program Manager /ppbLocation - /b Viladecans, Spain /ppbMode of work- /b Hybrid (2 Days Onsite) /ppType- Contract /ppbr/ppbJob Description: /b /ppbr/ppbSenior Tech Lead – AI Engineering /b /ppReporting to: Group Head of Software Engineering /ppbr/ppbRole Purpose: /b /ppAn enterprise-level senior leader responsible for driving material business value (EBIT impact) through AI technology across a multi-tenant environment (Aer Lingus, British Airways, Iberia, Vueling). This role bridges the gap between high-level AI strategy, technical architecture, and industrial-grade MLOps. /ppbr/ppbTechnical Requirements Expertise: /b /ppbr/pulli10+ Years Enterprise Engineering: Proven track record in complex environments, specifically delivering scalable AI tools and capabilities. /li /ulpbr/pullibAI/ML Product Architecture: /bExperience building reusable AI products that function across multiple operating companies (multi-tenancy) while minimizing \"product premium\" costs. /li /ulpbr/pullibMLOps Platform Knowledge: /b Deep understanding of contemporary ML engineering, including 3rd party AI platforms, CI/CD pipelines, and routes-to-live for GenAI and traditional ML. /li /ulpbr/pullibGenerative AI Strategy: /bAbility to model the costs/benefits of various generative models and implementation approaches (e.g., lightweight abstraction layers). /li /ulpbr/pullibLeft-Shift Discovery: /b Expertise in developing technical blueprints that support early value release and rapid prototyping before full industrialization. /li /ulpbr/ppbLeadership Governance: /b /ppbr/ppbArchitectural Governance: /b Accountability for the Key Design Decision (KDD) process, ensuring all products align with Group standards for security, risk, and reusability. /ppbr/ppbExecutive Communication: /bAbility to \"frame\" complex AI technicalities for time-poor C-suite executives to drive rapid, auditable decision-making. /ppbr/ppbTechnical Risk Management: /bA disciplined, data-driven approach to identifying and \"burning down\" technical debt and risks. /ppbr/ppbCommunity Building: /bExperience fostering an \"AI Academy\" culture, mentoring squad leads, and building an aligned community of pragmatic AI practitioners. /ppStrategic Business Mindset /ppbr/ppbEBIT Focus: /b Ability to translate abstract business problems into AI solutions that drive measurable ROI and operational efficiency. /ppbr/ppbCost Management: /bContinuous assessment of the external AI landscape to identify the most cost-effective 3rd party capabilities and open-source alternatives. /ppbr/ppbIMS/Aviation Domain: /b(Preferred) Experience in Maintenance, Repair, and Overhaul (MRO) or the broader Airline industry. /ppbr/ppbLogistics Soft Skills /b /ppTravel: Mandatory weekly travel to office - in Viladecans 2 times A week. /ppMindset: A \"forward-looking pragmatist\" who balances innovative AI exploration with the realities of enterprise-grade reliability. /p