Delivery Director - Technology
EPAM·Barcelona, Spain (Hybrid)
Qué ofrecen
Híbrido
Días de oficina y de casa — el reparto está en la oferta.
Qué piden
Trabajo en inglés
Se requiere inglés, según la oferta.
Estés cerca de Barcelona, Spain (Hybrid) para los días híbridos
No se menciona ninguna ayuda para la mudanza.
Extraído automáticamente de la oferta — lo que cuenta es el anuncio completo.
Requisitos
- 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
Beneficios
- Private health insurance
- EPAM Employees Stock Purchase Plan
- 100% paid sick leave
- Referral Program
- Professional certification
- Language courses
Oferta original
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.
Responsibilities
- 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
Requirements
- 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
Nice to have
- 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
Benefits
- Private health insurance
- EPAM Employees Stock Purchase Plan
- 100% paid sick leave
- Referral Program
- Professional certification
- Language courses
Sobre la empresa
EPAM
IT Services