Design Ops Leader: AI-Driven Quality&Collaboration, Rueil-Malmaison

Elevating design practices within product teams Design quality, informed choices&continuous improvement Define and promote design quality standards, including Definition of Ready / Definition of Done.Surface quality gaps through design QA or UX reviews.Support teams in making and communicating design choices informed by research, data, and field insights, aligned on the problem to solve and expected designers and teams to build, own, and sustain improvement , own, and track design operations KPIs to measure progress and impact.Process, documentation&collaboration Make design processes clear, usable, and adapted to the product context.Support Figma organization, handoff practices, and documentation.Facilitate alignment between Design, Product, and Tech through shared rituals, clear roles, and decision-making frameworks. Planning, dependencies&stakeholder coordination Maintain a clear, shared view of design activities (roadmaps, boards, Jira/tools) within your embedded teams.Clarify priorities and dependencies across squads to support shared teams refocus, remove blockers, and secure outcomes through clarity and stakeholder alignment AI-enabled design practices Identify and lead AI-enabled experimentation within design teamsDrive AI initiatives from opportunity framing through implementation, in partnership with designers.Operationalize AI-assisted tools or workflows that improve design quality, efficiency, or insight and communicate outcomes of AI initiatives, aligned with company priorities and governance.

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