Data Solutions Architect

𝐃𝐚𝐭𝐚 𝐚𝐧𝐝 𝐅𝐢𝐧𝐚𝐧𝐜𝐞 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧𝐬 𝐀𝐫𝐜𝐡𝐢𝐭𝐞𝐜𝐭 𝐓𝐡𝐞 𝐑𝐨𝐥𝐞

This is not a traditional hotel finance or operations role. You will not be closing month-end, running payroll, or sitting in a controller's seat. Instead, you'll act as the data domain expert inside the product — shaping how Otel AI's agents understand hotel data below the RevPAR line: payroll, procurement, F&B, departmental P&Ls, productivity, and financial performance.

If you've ever looked at hotel data and thought "the tools we use don't really understand how a hotel actually runs", this role is about fixing that.

𝐖𝐡𝐚𝐭 𝐘𝐨𝐮'𝐥𝐥 𝐃𝐨

Teach the AI how hotel data actually works

• Translate real-world hotel operational and financial knowledge into AI workflows, prompts, and decision logic
• Document the business logic that lives in operators' heads — how payroll is structured, how F&B costs are categorised, how procurement workflows run, how owners read a P&L
• Capture the edge cases and quirks: where data sits across hotel systems, where it's commonly wrong, where the misclassifications hide

Design use cases across non-revenue domains

• Identify the use cases hotel GMs, CFOs, F&B Managers, HR/Payroll leads and asset managers will pay for
• Document what "good" looks like for each persona
• Validate the product solves real operational problems, not theoretical ones

Validate data and outputs

• Pressure-test what the AI surfaces — does this number reconcile, is it on the right base, would an operator trust it?
• Validate outputs against source data before they reach customers
• Catch the issues that domain knowledge spots and engineering can't

Act as the bridge between hoteliers and product

• Work directly with hotel teams to capture real pain points
• Feed clear, opinionated input into product and engineering discussions
• Help prioritise the use cases that move productivity and profitability — not just revenue

Build reusable domain knowledge

• Create repeatable frameworks and decision models for finance and operations use cases
• Help standardise best-in-class operator thinking so it scales across hundreds of hotels

What We're Looking For

You'll likely have:

• 3+ years working with hotel data in a finance, operations, business analyst, BI, or asset management role
• Strong domain knowledge of how hotel data sits across systems — payroll, procurement, F&B, finance, departmental P&Ls
• Familiarity with the kinds of systems hotels use day-to-day (payroll/HR tools, procurement tools, POS, finance systems)
• The ability to clearly explain how a hotel's numbers come together — and where they commonly go wrong
• Comfort working with data, ambiguity, and imperfect systems
• Curiosity about AI and a genuine interest in shaping how it's applied in hospitality

Backgrounds that fit:

• Hotel business analyst or BI analyst with strong cross-departmental exposure
• Hotel finance (Financial Controller, Assistant FC, Group Finance Analyst)
• Hotel asset management (analyst or associate level)
• Multi-property operations role with a data-led instinct

You do not need to be a qualified accountant, a SQL expert, or a Power BI developer. You need to understand how hotels work and where the data sits.

What This Role Is Not

❌ Not running a hotel finance function

❌ Not closing month-end, running payroll, or owning a P&L

❌ Not a Power BI or dashboard developer ❌ Not replacing human Financial Controllers, GMs or asset managers