Director of Data Engineering

About ScreenCloud

Founded in 2015, ScreenCloud is a cloud-based SaaS company, employing over 100 people across its Bangkok, Belfast, LA, Charlotte, and London hubs. ScreenCloud helps businesses make stronger connections at scale with their employees and customers using screens and existing content systems to drive sales, productivity, and engagement. The company believes AI is reshaping how we work and is building a company where AI empowers every team member to have an outsized impact.

The Role

ScreenCloud is seeking a Director of Data Engineering to own ScreenCloud's commercial data platform, reporting to the VP of Engineering and based in the Bangkok hub.

This role's primary customer is the Revenue Operations team, which powers the commercial side of ScreenCloud. The data engineering team acts as the fuel line into RevOps. Your main responsibility, in collaboration with the Director of RevOps, is to design and deliver the data roadmap to address requests from Sales, Customer Success, Finance, and other commercial teams. This includes segmenting the global customer base, understanding and improving net revenue retention (NRR), and generating confident forecasts.

Your top priority for the first year is to establish rock-solid financials: a commercial data layer that is completely trusted by the business, allowing for nuanced customer insights, early trend detection, and accurate forecasting.

The second mission is AI. Believing that AI output is only as good as the data supporting it, a clean, well-governed, and well-modelled data layer is crucial for enabling AI across the entire business. This role drives the progression of data beyond AI. You will be based in Bangkok alongside engineering teams focused on AI-forward work, with ops teams and a staff engineer on your team who is proficient in AI and ready to build with you.

This is a genuinely balanced role: half leadership — setting direction, building the roadmap with RevOps, presenting plans to the CFO, CRO, and other stakeholders, and instilling confidence in the data trajectory — and half practitioner, using your data engineering background to work daily with your team of two (a Staff Engineer in Bangkok and a Senior Engineer in London).

A note on time zones: our RevOps and commercial teams are in London. To make this relationship work, you will need a couple of hours of daily overlap with London (approximately 10:00–18:00 Bangkok) and the drive to integrate yourself as a core part of that group despite the distance.

Responsibilities

• Partner with the Director of RevOps as your primary customer and counterpart: together, own a commercial data roadmap for the business — customer segmentation, NRR insight, retention and expansion analysis, and accurate forecasting.
• Deliver rock-solid financials. Own the accuracy, timeliness and trustworthiness of our recurring-revenue and financial data — this is the first-year priority against which everything else is judged.
• Lead and grow the data engineering team (a Staff Engineer in Bangkok and a Senior Engineer in London): set clear direction, priorities and standards, coach and develop, and stay close enough to the work to review and contribute.
• Own the commercial data platform end-to-end: our Redshift warehouse, self-built ETL pipelines, and third-party sync tooling (e.g. Hightouch), including build-vs-buy decisions across the stack.
• Bring our data sources together into sources of truth: billing and recurring payments, CRM, product usage, and the wealth of customer conversation data in Intercom/Fin — combined so the business gets insights no single source can give.
• Drive the separation of commercial and product data: financial/commercial reporting on the warehouse, event-driven product analytics moving to PostHog — with a clear architecture for where each lives and how they join up.
• Own the BI layer and the foundation beneath it: lead the consolidation from Tableau to Power BI, and set standards for definitions and metrics so there's one answer to every question. RevOps' Data Analyst does the heavy lifting on report building — your team provides the clean, accurate foundation that makes that possible, and pitches in on reports where it helps (there's no hands-off rule). Longer term, drive towards AI-powered self-serve reporting across the company — potentially bypassing traditional BI tools altogether.
• Build the data foundation for AI: governance, access, hygiene, documentation and modelling that make our data genuinely AI-ready — then partner with our AI-forward engineering teams in Bangkok to put it to work across the business.
• Present and persuade: drive a room, bring a plan you're proud of, and represent data confidently with senior stakeholders — the Director of RevOps day-to-day, and the CFO and CRO as the roadmap demands.
• Champion data quality and governance: ownership, lineage, definitions, access controls and hygiene, so trust in the numbers is never the bottleneck.

Requirements

• Proven experience leading a data engineering or analytics engineering function — hiring, coaching and directing engineers while staying technically credible and hands-on where it counts.
• Willingness to shift your working day (roughly 10:00–18:00 Bangkok) to guarantee daily overlap.