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Valtech

Global digital transformation and design consultancy

eRetail Delivery Lead-AI-Driven

Engineering LeadershipUpdated on Nov 11
Full-timeParis, FranceNo salary listed

About the Job

Requirements

  • Proven track record leading engineering organizations at scale (20+ engineers), with direct delivery accountability.
  • Demonstrated experience driving AI-assisted development or AI-native engineering practices into standard use, not just pilots.
  • Experience managing distributed engineering teams (France/India or an equivalent onshore/offshore model).
  • Strong understanding of e-commerce, retail, or omnichannel platform architectures.
  • Hands-on technical credibility to make and defend architecture and technical trade-off decisions.
  • Fluency in French and English is mandatory.
  • Ability to own technical decisions and report to executive stakeholders.
  • Ability to communicate clearly and structure information to simplify technical complexity for non-technical audiences.
  • Strong people leadership, including the ability to grow and retain engineering talent.
  • Ability to operate in a demanding, peak-driven retail delivery environment.

Responsibilities

  • Own end-to-end engineering delivery for the eRetail factory, including the technical roadmap, code quality standards, and release predictability.
  • Manage and grow a distributed engineering organization across France, Ukraine, and India, including hiring, mentoring, and career development.
  • Ensure delivery cadence, quality, and reliability meet Louis Vuitton’s business and seasonal peak requirements.
  • Own the relationship between engineering and the Agile Operating Model, Quality & Testing, and Production & Support pillars from an engineering standpoint.
  • Define and drive the AI adoption roadmap within engineering, including AI-assisted development, code review, refactoring, and technical debt reduction.
  • Promote AI-native architectures and MLOps practices where relevant to eRetail platforms.
  • Move AI-assisted engineering practices from pilot to standard practice across all squads, measuring adoption and productivity impact rather than number of proofs of concept.
  • Partner with the AI Transformation Program Manager to align engineering-level AI initiatives with the broader cross-pillar AI transformation roadmap.
  • Drive continuous improvement in engineering practices, including CI/CD maturity, test automation, technical debt management, and incident reduction.
  • Own engineering-side KPIs, including cycle time, code quality, defect rate, deployment frequency, and engineering cost efficiency.
  • Ensure smooth build-to-run transitions with clear ownership handoff to Production & Support.
  • Represent engineering delivery and AI-in-engineering progress in relevant steering committees and delivery reviews.
  • Provide clear, structured reporting on engineering KPIs, AI adoption progress, risks, and dependencies.
  • Escalate delivery or technical risks early with concrete, execution-ready mitigation plans.
  • Directly manage engineering leads across the factory and build technical career paths and succession within the team.
  • Foster an engineering culture where AI tooling adoption is a shared practice rather than an isolated initiative.
  • Ensure consistency of engineering standards, tooling, and documentation across squads.

About the Company

Valtech

Global digital transformation and design consultancy

Valtech is a global business transformation agency that offers digital strategy, design, and engineering services. It works by pairing strategic advisory with hands-on technology implementation to build and optimize digital experiences, platforms, and data-driven capabilities across areas like experience design, commerce, and data and AI. Valtech differentiates itself with a network of 80+ offices in over 25 countries, a client roster of blue-chip brands, and growth through both organic expansion and acquisitions backed by BC Partners. Its goal is to help clients transform their business models and customer experiences at scale in the digital era.

Company size
5,001-10,000
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1993

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