Tasman Analytics logo
Tasman Analytics

Tasman is a fast-paced, growing, remote-first company focused on delivering high-value client work through effective coordination and the use of modern tools.

Delivery Manager

Location

United Kingdom

Posted

80 days ago

Salary

£40K - £60K / year

Seniority

Lead

No structured requirement data.

Job Description

Delivery Manager

Tasman Analytics

About Tasman Tasman is a data consultancy that embeds into fast-growing companies and builds the analytics capabilities they need to make better decisions. Our clients are typically ambitious organisations that have outgrown what they have — and we work across a wide range of industries and problem types, which means the work stays genuinely varied. We operate as an interim data team, not an advisory one. That means we build things: data platforms, models, dashboards, agents, analysis, and the infrastructure that connects them. AI is a core part of how everyone at Tasman works — not a tool we bolt on, but something that lets us deliver more of what actually matters. Everything we build is designed to be owned and run by the client when we leave. We call this anti-dependency: doing the job properly means the client doesn't need us any more. We're remote-first, with offices in London and Amsterdam. Most of the team works from home or a co-working space of their choosing — we trust people to manage their own time and understand that life doesn't always arrange itself around working hours. Tasman is a small team doing work that would usually require a much larger one: genuine ownership, fast decisions, and very little organisational overhead. Because we embed across many different clients and sectors simultaneously, the problems are always varied and the exposure is broad. We're serious about building a team where people with different backgrounds, identities, and working styles can do their best work — structured hiring, transparent pay bands, promotion on documented evidence. Fully bootstrapped and profitable, with a team of around 25 people. The role Tasman's delivery teams work in squads — Data Analysts, Analytics Engineers, and Data Engineers — typically running five to eight client engagements at any one time. It's complex, fast-moving work, and it goes best when priorities are clear, handoffs are smooth, and the operational side of delivery is owned by someone whose job it is. This is our first dedicated delivery hire, and we're approaching it deliberately. We're not looking for a seasoned programme director — we're looking for someone who has developed real operational instincts, probably through a few years in a delivery, coordination, or project role, and is ready to apply them somewhere they'll actually matter. Someone who wants to help shape how delivery works at Tasman, not follow a process that already exists. You'll work closely with our Data Product Managers, who own the client relationship and the roadmap — your focus is the team side of that equation. This role sits inside a data team. You'll be working alongside analysts, engineers, and data product managers every day — and if data is an interest you want to develop further, this is a genuinely good place to do it. What you'll do: - Hold a live picture of delivery health across five to eight client engagements simultaneously, spotting dependencies and risks before they become blockers, not after - Identify blockers early and own resolving them, whether that means chasing information, facilitating a conversation, or escalating to the right person - Design and run ceremonies that actually fit the way data teams work — the rhythms are different from software delivery, and getting that right matters - Own the start and end of every client engagement operationally so that squads hit the ground running and leave cleanly, without the team having to think about logistics - Build and improve the systems that keep our tooling working for the team, rather than the team working for the tooling - Use AI to handle the documentation and communication work that would otherwise slow the team down — notes, summaries, status updates — and keep developing new ways to make it useful as the tools improve What we're looking for: You're someone who gets genuine satisfaction from making things run smoothly. You notice when a process is creating friction and you want to fix it. You communicate proactively — not waiting to be asked, but sharing what's relevant before it becomes a problem. You don't need to come from a data background. What matters is that you're organised, curious, and genuinely excited about using AI tools as a core part of how you work — not as a nice-to-have, but as something you've actually made part of your day. The ability to write clearly is essential: a significant part of this role is producing written outputs that others rely on. You can read more in the full job description for all the details of the role Compensation & Benefits The compensation and benefits for someone based in the UK are: - Salary depending on experience: £45,000 - £60,000 - £1000 budget for home office equipment - £400 annual well-being benefit - £50 per month sport benefit - £50 per month benefit for refreshments - £1000 annual budget for training and professional development - Pension contribution of 5% from us, 3% from you The compensation and benefits for someone based in the Netherlands are: - Salary depending on experience: €49,000 - €65,000 - €1200 budget for home office equipment - €500 annual well-being benefit - €60 per month sport benefit - €60 per month benefit for refreshments - €1200 annual budget for training and professional development We also offer 25 days of holiday in addition to any public holidays. We are open to candidates based in other European countries — those team members are hired as full-time contractors with equivalent total compensation. Application process This is what you can expect: - Application. Submit your CV and answer four short questions — these help us understand how you work and think, and they're the main thing we use to decide who moves forward. Answer them carefully; they matter more than your CV. - Introductory call. If your application stands out, we'll schedule a short 20-minute call — not an interview. It's a chance for you to ask questions and get more context on the role and what the process looks like from here. - Take-home task. We'll send you a realistic delivery scenario and ask you to work through it. Expect to spend around two hours. This is the main filter in the process — we'd rather see how you think on a real problem than rely on interviews alone. We give everyone personal feedback on the task regardless of outcome. - Interview. Depending on the candidate and the stage of the process, we'll invite you to one or two structured interviews — each around 60 minutes. The first is focused on how you work in practice; the second, if there is one, brings in a broader perspective from the team. Both are competency-based and designed to give you as much information about us as we get about you. - Decision. We'll let you know our decision as soon as we've made it. If we make you an offer, you'll have the opportunity to speak with others on the team before deciding. We process applications on a rolling basis. If you have any questions about the role or the process, get in touch at recruiting@tasman.ai.

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