MULTI-SIDED PLATFORM DISTRIBUTION & ANALYTICS LEADER

Jonathan
D'Cruz — Multi-Sided Platform Distribution & Analytics Leader

Helping platforms turn data and high-volume API ecosystems into margin, conversion, and growth.
Based
Bangkok, Thailand
Current Role
Director, Travel Distribution · Agoda
Tenure
10+ Years Across Data & Analytics
Connect
LinkedIn ↗
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About

At Agoda, I lead B2B Distribution, Technical Account Management, and Analytics — the function that connects suppliers to the consumer marketplace through APIs, data, and commercial relationships. My team owns the seam where supply meets demand. Every integration, connectivity signal, and pricing decision that touches strategic distributors, third-party suppliers, or Agoda's consumer platform runs through us.

That is the work I have done across every chapter of my career — travel-tech, consumer marketplaces, public transit, consulting. Bring structure to messy integration and data problems. Turn commercial ambiguity into testable bets. Build the teams and platforms that prove whether they work.

Stack
SQL·Python·R·Tableau
Domains
B2B Distribution·API Integrations·Machine Learning·Experimentation·Pricing·Strategic Partnerships·Marketplace Economics
Selected Impact

Numbers that moved the business.

01 · Agoda · Travel Distribution
0end-to-end
Built Agoda's flights competitive-intelligence platform from kickoff to production — informing pricing strategy across the supply portfolio.
02 · Swiggy · Consumer App
0MAU
Owned analytics for Checkout & Payments on one of India's largest consumer apps.
03 · Segmentation Platform
0properties
Designed a property segmentation platform classifying and managing millions of hotels and holiday rentals worldwide.
04 · ITS · Public Transit
0annual riders
Built an ITS analytics platform for a 6,400-bus public fleet generating >$325M revenue across India.
05 · Agoda · Partner Program
$0net contribution
Scaled the B2B partner program through strategic go-lives and technical optimizations driving millions of dollars in net contribution.
Trajectory

Where the work has happened.

Jul 2026 — Present
Director, Travel Distribution
Agoda
Detail
  • Lead B2B Distribution, Technical Account Management, and Analytics — a multi-layer team of 8 managers and ICs.
  • Own the analytics and data infrastructure for B2B partner distribution — turning API, connectivity, and booking-funnel data into commercial insights at the leadership level.
  • Scale the partner program through strategic go-lives and technical optimizations driving millions of dollars in net contribution.
  • Deployed an ML-based dynamic pricing platform now running as a core pricing capability.
Apr 2023 — Jul 2026
Associate Director, Travel Distribution
Agoda
Detail
  • Led Technical Account Management and Analytics for B2B partner distribution.
  • Partnered with Product and Engineering to ship data-driven features improving partner onboarding speed, API performance, and connection reliability.
  • Built and scaled the Supply Flights & Activities Analytics function from zero to a 5-person team in under 12 months.
  • Designed and launched Agoda's flights competitive intelligence platform end-to-end.
Aug 2022 — Mar 2023
Head of Analytics, Partner Development
Agoda
Detail
  • Built and shipped a property segmentation platform used to classify and manage millions of hotels and holiday rentals globally.
  • Defined the analytics operating model for Supply, establishing metrics, experimentation standards, and reporting cadence.
  • Partnered with Supply leadership to prioritize bets driving measurable lifts in conversion and portfolio quality.
Oct 2021 — Aug 2022
Manager, Product Analytics
Swiggy
Detail
  • Owned analytics for Checkout & Payments on one of India's largest consumer apps.
  • Defined North Star and input metrics; built the experimentation roadmap.
  • Delivered post-launch readouts shaping payment-funnel and checkout optimizations.
Awards · MVP (Individual) · Swiggstar (Team ×2)
Feb 2020 — Oct 2021
Delivery Manager
MathCo
Detail
  • Led cross-functional pods of Data Scientists, Data Engineers, and Analysts delivering AI-driven transformation for Fortune 500 clients including Keurig Dr Pepper, Lowe's, and Walmart across CPG, Retail, E-Commerce, and Logistics.
  • Owned client relationships at Director / VP level.
Awards · Value (Individual) · Excellence (Team)
2019 — 2022
Founder
Crosslabs
Detail
  • Founded to bring intelligent transport systems data science to real-world transit challenges — products shipped to production in 4+ Indian cities.
  • Built a GPS device monitoring platform that prevented an estimated $300K in operational losses.
  • Designed an intelligent bus scheduling platform optimizing routing using real-time traffic, demand, and supply signals.
  • Deployed real-time fleet operations dashboards in Bengaluru, Surat, Bhubaneswar, and Visakhapatnam.
Mar 2017 — Nov 2019
Data Scientist
World Resources Institute
Detail
  • Designed and shipped an end-to-end analytics platform (R, Python, SQL) integrating ticketing and GPS data for a 6,400-bus fleet serving 1.8B+ annual passengers and >$325M revenue.
  • Platform insights drove optimized resource deployment, improving financial performance and rider experience.
May 2015 — Oct 2016
Graduate Research Assistant
Georgia Institute of Technology
Detail
  • Built analytic models (MATLAB, ArcGIS, Python) for a NOAA-funded research programme on climate-change adaptation planning for river basins.
  • Developed HYDRO-MAC, an in-house tool to extract hydrological data from spatial datasets globally.
Capabilities
Technical
SQLPythonRTableauMachine LearningAPI IntegrationsExperimentation & A/B Testing
Leadership
Team BuildingTechnical Account ManagementStrategic Partnerships0→1 Function BuildingOperating Model Design
Domain
Travel DistributionMarketplace EconomicsPricing StrategyData Analytics
Foundations

Education.

Georgia Institute of Technology
Master of Science · Civil & Environmental Engineering
Atlanta · USA
Pune University
Bachelor of Engineering · Civil & Environmental Engineering · Graduated with Distinction
Pune · India
Let's talk

Got a challenging
data problem?

Margin, conversion, growth — if your platform's signals are noisy and the bets are ambiguous, that's the work I do best.

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