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We're looking for a Delivery Director – Technology to join our team in Barcelona, in a hybrid working mode. You will lead a large-scale engagement spanning over several business domains for a large multi-national client, ensuring successful delivery of complex programs exceeding 100 FTE.
This role involves full accountability for end-to-end delivery, client relationships and commercial performance, while supporting account growth through pre-sales and strategic engagement. You will need sufficient technical depth to challenge architecture, diagnose delivery issues and engage credibly with senior engineering stakeholders. Hands-on practice of AI and a solid understanding of how to use it effectively in software development and maintenance are required.
- Drive full lifecycle program delivery, ensuring high-quality outcomes aligned with EPAM processes
- Act as the primary point of contact for executive-level client engagement and stakeholder governance
- Diagnose and resolve delivery challenges, addressing risks tied to architecture, integration and design
- Ensure compliance with financial targets, sourcing strategies and regulatory obligations
- Lead multiple delivery streams, coordinating nearshore and offshore teams across SDLC and IT service management
- Collaborate with delivery leads, architects, engineers and product teams to define estimates, plans and roadmaps
- Support sales and pre-sales efforts, contributing to proposal development and client presentations
- Embed AI tools and practices into delivery models, leveraging automation for improved efficiency
- Maintain a continuous improvement culture, balancing cost, quality and time-to-market across engagements
- Proven track record delivering large-scale technology engagements (100+ FTE) across diverse domains
- Strong experience in client relationship management and risk governance at senior stakeholder levels
- Hands-on exposure to SDLC and Agile delivery models, combined with practical knowledge of T&M, FP and hybrid engagement models
- Ability to diagnose architectural issues, evaluate trade-offs and improve technical designs
- Deep understanding of distributed architectures, including microservices, APIs, headless and event-driven systems
- Hands-on experience applying AI/GenAI to software engineering practices, optimizing delivery approaches
- Knowledge of machine learning, large language models and AI development lifecycles with consideration for data governance, security and compliance
- Awareness of ethical and regulatory implications of AI/GenAI adoption
- Experience overseeing programs involving data platforms, analytics or AI/GenAI components
- Past experience working in regulated industries or global-scale transformation projects
- Involvement in initiatives delivering cloud-native solutions or advanced integration frameworks
- Familiarity with AI toolchains, prompt engineering and next-generation SDLC automation technologies