Delivery Director - Technology

Epam Systems
Zaragoza, Spain
6 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Data Governance Distributed Systems Machine Learning Systems Development Life Cycle Software Engineering Toolchain Large Language Models Prompt Engineering Event Driven Architecture
+3 more
Integration Frameworks Data Management Microservices

Job description

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.ResponsibilitiesDrive full lifecycle program delivery, ensuring high-quality outcomes aligned with EPAM processesAct as the primary point of contact for executive-level client engagement and stakeholder governanceDiagnose and resolve delivery challenges, addressing risks tied to architecture, integration and designEnsure compliance with financial targets, sourcing strategies and regulatory obligationsLead multiple delivery streams, coordinating nearshore and offshore teams across SDLC and IT service managementCollaborate with delivery leads, architects, engineers and product teams to define estimates, plans and roadmapsSupport sales and pre-sales efforts, contributing to proposal development and client presentationsEmbed AI tools and practices into delivery models, leveraging automation for improved efficiencyMaintain a continuous improvement culture, balancing cost, quality and time-to-market across engagementsRequirementsProven track record delivering large-scale technology engagements (100+ FTE) across diverse domainsStrong experience in client relationship management and risk governance at senior stakeholder levelsHands-on exposure to SDLC and Agile delivery models, combined with practical knowledge of T&M, FP and hybrid engagement modelsAbility to diagnose architectural issues, evaluate trade-offs and improve technical designsDeep understanding of distributed architectures, including microservices, APIs, headless and event-driven systemsHands-on experience applying AI/GenAI to software engineering practices, optimizing delivery approachesKnowledge of machine learning, large language models and AI development lifecycles with consideration for data governance, security and complianceAwareness of ethical and regulatory implications of AI/GenAI adoptionExperience overseeing programs involving data platforms, analytics or AI/GenAI componentsNice to havePast experience working in regulated industries or global-scale transformation projectsInvolvement in initiativesInvolvement in initiatives delivering cloud-native solutions or advanced integration frameworksFamiliarity with AI toolchainsFamiliarity with AI toolchains, prompt engineering and next-generation SDLC automation technologies#J-*****-Ljbffr

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 #J-*****-Ljbffr

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