Delivery Director - Technology

EPAM Systems; España; Híbrido; EUR 140.000 - 190.000; Jornada completa

Descripción de la vacante

EPAM Systems in Barcelona is seeking a Delivery Director – Technology to lead a large, multi-domain engagement with end-to-end accountability for delivery, client relationships, and commercial performance.

You will oversee nearshore and offshore teams, drive architecture-aligned delivery, and embed AI/GenAI practices to improve efficiency while supporting pre-sales and strategic growth.

Formación

• Proven track record delivering large-scale technology engagements (100+ FTE).
• Strong client relationship management and risk governance at senior levels.
• Hands-on exposure to SDLC and Agile delivery models; T&M, FP and hybrid.
• Ability to diagnose architectural issues and improve designs.
• Distributed architectures including microservices, APIs, headless and event-driven.
• Experience applying AI/GenAI to software engineering practices.

Responsabilidades

• Drive full lifecycle program delivery with EPAM processes.
• Act as primary contact for executive-level client engagement and governance.
• Diagnose and resolve delivery challenges tied to architecture and design.
• Ensure compliance with financial targets, sourcing strategies and regulatory obligations.
• Lead multiple delivery streams with nearshore and offshore teams.
• Collaborate to define estimates, plans and roadmaps.
• Support sales and pre-sales with proposals and client presentations.
• Embed AI tools and practices into delivery models.
• Maintain a continuous improvement culture balancing cost, quality and time-to-market.

Conocimientos

Delivery leadership

Client governance

SDLC & Agile

Architectural diagnosis

AI/GenAI in software

Microservices/API

Data governance

Descripción del empleo

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

• Involvement in initiatives delivering cloud-native solutions or advanced integration frameworks

Familiarity with AI toolchains

• Familiarity with AI toolchains, prompt engineering and next-generation SDLC automation technologies