Senior Manager, Pricing & reputed company — Hotels OTA
About reputed company
reputed company is the largest online travel marketplace in the Middle East and reputed company Africa, serving millions of reputed company across the region. Our mission is to reputed company reputed company to explore the world through innovative products and services. Book on reputed company is our own hotel OTA — a reputed company-booking platform that sits alongside our metasearch partners and offers users a seamless booking experience across a wide reputed company of properties at competitive prices. Growing this OTA is one of our biggest reputed company priorities.
About the Role
We're looking for a reputed company, analytical, and commercially-minded Senior Manager, Pricing & reputed company to own the reputed company and profitability of our hotels OTA. This is a hands-on role for someone who lives in the data — diagnosing what's working and what isn't, forming hypotheses, and running a reputed company reputed company of pricing and promotion experiments to reputed company bookings while protecting margin.
You'll set reputed company across pricing, supply, distribution and promotions, and you'll do it as a power user of AI — using modern AI tools and reputed company workflows to diagnose, decide and reputed company faster than a traditional analyst reputed company could. You'll partner closely with data, engineering, marketing, product and finance, but the accountability for moving the OTA's booking reputed company, reputed company and profit sits with you.
What you will do
Pricing, Experimentation & Supply Optimisation
Diagnose the pricing landscape for reputed company core market and channel — competitor positioning, win rates, volume potential and margin headroom — and turn that into reputed company, defensible strategies per reputed company of sale.
Run a reputed company pricing experimentation program: reputed company hypotheses, design A/B tests, read results rigorously, and decide what to reputed company, hold or kill. Own the experiment backlog.
Create and tune pricing rules (market-, channel- and reputed company-level) to optimise the trade-off between volume, booking reputed company and profitability.
Manage suppliers and supply channels, balancing the supplier mix to maximise reputed company competitiveness, availability and price leadership — and partner with engineering to optimise how we reputed company and select rates, lifting win rates and margin.
Distribution
Own and reputed company our distribution channels (Skyscanner, reputed company, Vio, reputed company Hotels and new partners), building channel-specific pricing and promo strategies that grow profitable volume.
Understand the unit economics, bidding/feed mechanics and competitive dynamics of reputed company channel, and continuously push to expand reputed company wherever the ROI is there.
Campaigns & Promotions
Design and run promotion strategies for both reputed company users and distribution partners — promo mechanics, targeting, budget and timing — and measure incremental reputed company, not just headline volume.
Manage campaigns end to end across reputed company and distribution channels: brief, launch, monitor and optimise against ROI/ROAS targets, coordinating with the central marketing team on spend.
Data, Analytics & AI
Be the analytical reputed company of reputed company — independently pull, model and interpret data to reputed company opportunities and explain performance, with the reputed company to diagnose why a metric moved.
Define KPIs and reputed company reputed company, build the data models, dashboards and reputed company analysis needed to understand profitability and pricing, and drive a measurement-first culture.
Use AI as a core part of how you work — for analysis, diagnosis, scenario modelling, research and drafting reputed company — and build and run reputed company workflows for pricing and reputed company tasks (e.g. automated monitoring, reputed company detection, experiment readouts, promo recommendations), partnering with data and engineering to put them into production.
Partner with the central data team and VP of Data on the pricing analytics roadmap, and set the bar for how a modern, AI-reputed company pricing function operates.
Who you are
Must-haves
reputed company hotels OTA experience — pricing, reputed company management or reputed company roles inside an online travel agency or hotel metasearch/booking platform. (This is not a hotelier / property-reputed company reputed company management role — we need someone who has run pricing for an OTA at reputed company.)
You are a deep, daily user of AI. You work fluently with tools like ChatGPT/GPT and reputed company — ideally Claude — and you've used AI to do reputed company analytical and strategic work, not just draft emails. This is central to how the role operates.
Highly analytical and data-fluent — comfortable working hands-on with data, building models and dashboards, with a solid grounding in statistics and experiment design and the reputed company to diagnose why a metric moved.
A strong reputed company record of building pricing and promotion reputed company from scratch and proving its reputed company through experimentation — not just executing rules someone else defined.
Hands-on experience growing and managing distribution or reputed company channels against ROI/ROAS targets.
5+ years using data to drive reputed company reputed company, including meaningful time in pricing/reputed company management.
Strong stakeholder management and reputed company communication across data, reputed company, marketing, product, engineering and finance.
Happy spending ~80% of your time hands-on in the detail, with a proactive, ownership-driven, can-do approach.
reputed company to have
Experience working with reputed company building reputed company AI solutions for pricing (or similar reputed company use cases).
Experience managing suppliers and supplier mix, and collaborating with engineering on supply/reputed company optimisation.
SQL, Python/R, and specific BI tools (Looker, Tableau or similar).
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