Engineering & Delivery Manager

Why Valtech?We’retheexperienceinnovation company-atrusted partnerto the world’s most recognized brands. To our people we offergrowth opportunities,avalues-driven culture,internationalcareersand the chance to shape the future of experience.

Valtech is a strategic partner for a top luxury client operating model, operating as a Business Unit (BU) across multiple divisions. Under the new factory-based model, Valtech is accountable for standardized, industrialized delivery across coherent application territories, shifting from a supplier relationship to a strategic delivery partner responsible for transformation, performance, and scale.

Engineering excellence and AI are the two compounding levers of this model. AI is embedded across the full delivery lifecycle (engineering, agile delivery, quality,runand support), while a consistent engineering and delivery backbone makes performance repeatable across every division. This role leads both: the engineering vision and the multi-division delivery that turn the factory model into measurable outcomes.

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you’re pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries.

We are proud of:

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• The work we do and the innovation we drive
  
• Our values of share, careand dare
  
• A workplace culture that fosters creativity, diversity and autonomy
  
• Our borderless, global framework,which enablesseamless collaboration
  

You report to a Client Partner and as anEngineering & Delivery Manager (all genders), you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring +15 years of experience, a growth mindset and a drive to make a lasting impact.

You will thrive in this role if you are:

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• A curious problem solver who challenges the status quo
  
• A collaborator who values teamwork and knowledge-sharing
  
• Excited by the intersection of technology, creativity and data
  
• Experienced in Agile methodologies and consulting (a plus)
  

Own engineering and delivery for the Valtech the client Business Unit, with a strong focus on AI-augmented engineering, across all divisions and application territories. The role sets the technical and delivery standards of the BU, runs production-grade delivery at scale across divisions, and drives the move from experimentation to industrialized capability. It is both a leadership and a hands-on execution role, with authority grounded in expertise, accountability for outcomes, and credibility across the client and Valtech stakeholders.

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• Define and own the engineering vision, architecture principles, and technical standards across the client BU technology stack (Front/Salesforce, Data & Integration, Back/SAP, POS/Cegid)
  
• Make AI-augmented and agentic engineering the default way of working, leveraging Valtech accelerators and the agentic engineering stack
  
• Lead the engineering community and define reusable assets, frameworks, and engineering best practices shared cross-divisions
  
• Guarantee code quality, security-by-design, and production readiness across all factories
  
• Partner with the BU CTO to align the technology roadmap, build-versus-reuse decisions, and innovation priorities
  

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• Own end-to-end delivery across multiple client divisions and departments, from build and integration projects to run (L2/L3) and support
  
• Run delivery against committed SLAs, objectives, and KPIs, with clear bonus/malus accountability where contractually owned
  
• Industrialize a standardized delivery model (methods, ceremonies, tooling) applied consistently across all factories
  
• Operate a hybrid onshore / nearshore / offshore model (Paris management, India Centers of Excellence), balancing the resource ratio for cost, quality, and proximity
  
• Manage capacity, staffing, and ramp-up across concurrent programs while protecting delivery commitments
  

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• Drive AI adoption from POC to scalable, measurable production capability across the delivery lifecycle
  
• Lead continuous improvement: automation, tooling, GenAI integration, proc