You are scaling toward 38 million guests under Journey 2030 and building Guest 360 so CRM, booking and loyalty data become real-time journeys instead of batch campaigns. That translation, from customer data to a journey with measurable results, is the work I have done for ten years. The AI layer underneath it I build myself, daily.
Ramona Furter, applying for Product Manager, Journey Orchestration in Abu Dhabi (ref 81654)
Below: one Etihad journey, specified end to end, the way I would put it on the Guest 360 backlog in week one.
conversion on a CHF 100M+ e-commerce business, through research, A/B testing and analytics (Ifolor)
feedback time on proposals, via a synthetic pitch-check avatar I built (Swiss Post)
years of product, venture and growth leadership, from corporate innovation to founding team
Your ad asks for real-time, data-driven experiences across all touchpoints, and it names the reality underneath: guest data lives in CRM, booking and loyalty, so when a trip changes, today's messages arrive as batch campaigns that do not know what just happened. Here is the week-one work product I would bring to Guest 360: one journey, specified end to end, on a flight I know personally.
Worked example. The guests, times and message texts are illustrative. The route, the Etihad Guest tiers and the scale are real.
Connecting in Abu Dhabi to Bangkok, 55-minute connection. Books direct, lives in the app.
Two adults, two children, Abu Dhabi is the destination. Booked through an agency, no app installed.
Showing the full journey, up to the next morning.
Delay published at Zurich Airport
“EY74 is delayed 2 h 05. Your Bangkok connection will not hold. We are already holding you a seat on the next flight.”
Booking: 55-minute connection · loyalty: Gold · app active, so push, not email.
“EY74 now departs 11:45. Your seats are unchanged and your bags check through. Nothing you need to do.”
Booking: trip ends in Abu Dhabi · no app installed, so SMS to the agency-file number.
Held from this second: every scheduled marketing send to both guests, frozen while the disruption is live.
Rebooking decided
“Confirmed: Abu Dhabi → Bangkok, seat held on the 20:15 departure. Tap to accept, or an agent will call you.”
Decisioning: hold, propose, one tap. Auto-booked only after she accepts; a human fallback stays in the loop.
Their plan changed once, not twice. Neither should their phone.
The wait at the airport
“The lounge is open for you until boarding.”
Loyalty: Gold benefit, surfaced exactly when it is worth something.
“Meal vouchers for the four of you, ready at the gate desk or via this link.”
Booking: family of four, three-hour wait. Care first, channels second.
Arrival, Zayed International, Terminal A
“Your Bangkok gate and the fastest transfer route, ready in the app.”
Real-time: gate and walking time, not a generic arrival mail.
“Welcome to Abu Dhabi. Belt 5 for your bags, taxis and transfers straight ahead.”
First trip: arrival guidance instead of silence, still nothing promotional.
The journey closes
“Your connection was tight yesterday. We have credited Etihad Guest Miles to your account. How was the journey?”
Service recovery before the survey, in that order.
“How was your first trip with us?” With a first-trip guide to Abu Dhabi, and now the survey.
CRM: first Etihad booking. The relationship starts after the trip, not during the delay.
The seat-upgrade campaign scheduled for that evening, suppressed for both guests. An upsell in the middle of a disruption spends the trust the journey just earned. And the survey waited until the trip was over: a survey sent mid-disruption gets answered angrily or not at all.
The disruption journey. It joins all three data sets your ad names, CRM, booking and loyalty, the triggers are unambiguous, and the emotional stakes are the highest in the airline.
Pre-trip and post-trip lifecycle journeys, reusing the same segments, triggers and suppression rules the disruption journey proves.
The engine that picks the next best offer for every guest. Not because it lacks value, but because the journey logic should earn trust on real events before it starts selling.
That is the spec shape I bring: measurable (how fast a missed connection gets fixed, how many calls never need the contact centre, how many surveys actually get answered), ready for whichever platform Guest 360 runs on, and honest about what not to send. It slots straight into the Guest 360 backlog your Digital Technology & Innovation division is hiring around.
This page, and the journey model on it, I designed and built myself with the AI toolchain I work in daily, Claude Code among other tools. It is how I would prototype journey specs for Guest 360 too: clickable in days, not described on slides.
I owned the e-commerce ecosystem and strategy of a CHF 100M+ business at Ifolor, reporting to C-level: segmentation, triggers, funnels and personalization on real customer data, tested and shipped.
+9% conversion, +15% checkout step rate.
I have not shipped on Adobe Journey Optimizer or Braze. What I have done is build the same logic myself: production automations with segments, triggers, decisioning and suppression rules, running today at Swiss Post and on my own products. I would rather show you journey thinking and learn your platform than the reverse.
−30% time spent on sales at Swiss Post through automation and AI implementation.
Your nice-to-have is my daily work. I lead AI-driven business models at Swiss Post, from opportunity sizing to a prioritised roadmap with KPIs, and I ship with LLMs hands-on: the pitch-check avatar, agent automations, and Pedal Peak, a live cycling platform I built end to end.
−90% feedback time on proposals at Swiss Post; 331 routes across 12 countries live on Pedal Peak.
Leads AI-driven business models: opportunity sizing to prioritised roadmap with KPIs; cut time spent on sales by 30% through automation; builds the prototypes used in C-level presentations.
Built smedium (first clients, shipped websites, AI workflow automation), grew Pedal Peak, went deep on AI tooling: own tools with LLMs, prompt engineering, AI-supported production.
Owned the e-commerce ecosystem and strategy of a CHF 100M+ business, reporting to C-level; +9% conversion and +15% checkout step rate; led a cross-functional team and external agencies.
Owned partnerships with financial institutions (UBS, Baloise); main bridge between senior client stakeholders and the internal product team.
Founding team of a health venture: two funding rounds, 10 locations, 23 people, 170+ customers; 1000+ client matches in year one, hypothesis- and data-driven.
Built growth and go-to-market for several internal startups, from validation to scale-up; experimentation to lift conversion and cut acquisition cost.
Market pilots from MVP to launch (Smide, XpertCheck, Lizzy); market-entry strategies, design-thinking experiments, coached cross-functional teams.
Product and trade marketing at Domaco, Cruspi and Promena; accounting at Kuoni and AMAG; commercial apprenticeship at Bridgestone. The numbers discipline under everything since.
BBA Business Administration, Zentrum Bildung Baden · CAS Digital Marketing, HWZ Zurich · CAS Innovation, BFH Bern · Certified Mental Health Coach, IPC Academy
German (native) · English (fluent) · French (conversational). Swiss citizen, available with notice.
I am Swiss, based in Zurich, and planning the move to the UAE with my partner. When I am not working I am on a bike: I have bikepacked through Togo and Benin, and I run Pedal Peak, a cycling platform with hand-ridden routes across 12 countries.