Engineering & Delivery Manager

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, 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.

Responsibilities

Own engineering and delivery for the client Business Unit, with a strong focus on AI-augmented engineering, across all divisions and application territories; Define and own the engineering vision, architecture principles, and technical standards across the client BU technology stack; Make AI-augmented and agentic engineering the default way of working; Lead the engineering community and define reusable assets, frameworks, and engineering best practices; Guarantee code quality, security-by-design, and production readiness; Own end-to-end delivery across multiple client divisions; Run delivery against committed SLAs, objectives, and KPIs; Industrialize a standardized delivery model; Operate a hybrid onshore / nearshore / offshore model; Manage capacity, staffing, and ramp-up; Drive AI adoption from POC to scalable production capability; Lead continuous improvement; Track and report measurable outcomes; Enforce governance, documentation, and ownership standards; Represent Valtech in BU governance forums; Build, lead, and develop the BU engineering and delivery leadership team; Federate a cross-functional AI, engineering, and innovation community; Develop and retain key skills; Ensure consistency of practices, standards, and culture

Requirements

+15 years of experience; Proven track record leading large-scale engineering and delivery organizations across multiple concurrent programs or business lines; Deep, hands-on engineering background with demonstrated leadership of AI / GenAI adoption from POC to production; Experience managing distributed, multi-division or cross-division tech delivery against committed SLAs and KPIs; Command of modern delivery models: agile at scale, factory or managed-services delivery, and hybrid onshore / nearshore / offshore operations; Strong grasp of e-commerce, retail, or omnichannel environments; Comfortable operating at both strategic and hands-on execution levels; Fully bilingual French/English (mandatory)

Nice to have

Agile methodologies; consulting; familiarity with Salesforce, SAP, data & integration, and POS stack

Benefits

Competitive compensation package; Flexibility, with remote and hybrid work options (3 days at the client's office); Career advancement, with international mobility and professional development programs; Learning and development, with access to cutting-edge tools, training and industry experts