Über Christian
Französisch
Muttersprachlich oder zweisprachig
Englisch
Verhandlungssicher
Deutsch
Verhandlungssicher
Projekt- und Berufserfahrung
- German OEMLaunch of new service offeringAUTOMOBILSEKTORJanuar 2026 - Heute (5 Monate)Confidential France PilotFrance GTM. Designed and launched high-leverage offers (priority V2G/V2H): 90-day pilot, FleetV2G Readiness, Site Energy Optimization; built an interoperability kit, billing&settlement modulesDeveloped the positioning around AI-enabled energy flexibility across three value layers: energyoptimization, system orchestration, and customer experience / energy services
- (consortium of strategy firms)Senior Advisor –AI Strategy & Operating ModelOktober 2025 - Heute (8 Monate)• • Designed & launched an AI Consultant Machine (reusable agents/assets) to industrialize impact across engagements.• • Shifted from advice only → advice → build → run; service playbooks, agent factory, in-chat/workflow integration.• • Established AI governance (sources/traceability, human-in-the-loop, M&E) and outcome-based pricing (SLAs/SLOs, flat fee + "AI dividend").• • Upskilled partners/teams; delivered pilots. Outcomes: –50–70% time-to-value on targeted tasks, higher asset reuse, margin uplift.• • Supported an aggregator mobility platform: multi-app orchestration and AI-driven personalization to surface the best ride option in seconds (vehicle, route, driver, price)• • AI matching & ranking: customer-preference models, driver-route matching, dynamic ETA/pricing, cross-app offer ranking• • Conversational journey: in-chat flows (discover → select → pay) to cut time-to-ride and friction• • Ecosystem orchestration: API hub across partners, partner quality scoring from user feedback, real-time SLA/SLO routing• • CX & monetization: personalization (car/driver/comfort), bundles & upsell (subscriptions, insurance), contextual pricing• • Governance & performance: privacy by design (local compliance), P&L dashboard (conversion, cancellations, NPS, driver utilization, cost-to-serve), continuous learning loop• • Outcome: faster match times, higher conversion/NPS, lower cancellations and cost-to-serve by putting AI in the operating model (advice → build → run)
- ConfidentialSenior Advisor — Confidential Mobility Super-AppAUTOMOBILSEKTORAugust 2025 - November 2025 (3 Monate)Shanghai, ChinaSee cv fo more detail of the scope of work . is user experience for a web mobility platform in China .
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Ausbildung und Abschlüsse
- ESSEC - Business School