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Referrals Only

Senior Strategy and Operations Manager

Cardiff, Wales, United Kingdom +2

Location
Cardiff, Wales, United Kingdom · London, England, United Kingdom · United Kingdom
Work
Remote
Employment
Not stated
Level
Manager
Function
Operations
Pay
From £1,000.00 a month (read from the ad)
Posted
4 weeks ago

About the role

📍London / Distributed (UK) | 💰 £86,100 - £101,300 (depending on experience) ➕ incentive awards tied to your performance | Benefits | Hear from the team

⭐ About the role

We’re looking for a strategic, commercially minded, and data-driven Senior Strategy and Operations Manager, who will be an individual contributor and help shape the future of Payments at Monzo. You’ll play a critical role in supporting the GM of Payments and the leadership team to define, measure, and drive our strategy - balancing long-term vision with the realities of day-to-day delivery.

This is a high-ownership, high-impact role, ideal for someone who thrives on solving complex problems, is fuelled by strategic thinking, and enjoys using data to bring clarity to ambiguity. You’ll move seamlessly between blue-sky thinking and tactical execution - one day modelling the impact of a new product bet, the next helping optimise how we run the collective.

You’ll bring a birds-eye view across Payments’s portfolio - ensuring our goals, investments, and initiatives line up coherently with each other and with Monzo’s broader mission. And you’ll be the connective tissue that keeps us operating effectively: tracking performance, surfacing insights, and making sure we’re focused on what really matters.

🔑 You’ll play a key role by…

  • Driving strategic clarity: Supporting the GM of Payments and leadership team in defining, tracking, and evolving Payments’s strategic direction to align with Monzo’s wider mission
  • Data-Driven Problem Solving: Actively dive into large, complex datasets to uncover insights, diagnose operational challenges, and independently design and implement scalable solutions.
  • Translating data into action: Building and maintaining data-informed views of performance across products, squads, and initiatives; using insights to inform priorities and trade-offs
  • Cross-Functional Collaboration: Partnering closely with Product, Engineering, Data and Design teams to bridge the gap between ideas and strategic business execution
  • Owning business performance rhythm: Leading monthly business reviews, reporting, and governance materials to keep the collective aligned and accountable
  • Shaping new opportunities: Scoping new bets through market sizing, commercial modelling, partnerships evaluation, and budget/forecast analysis
  • Making the org more effective: Optimising how we balance KTLO, BAU, and growth work; supporting resourcing and squad setup decisions across the collective
  • Connecting the dots: Ensuring consistent communication and alignment across Payment squads, and with other Monzo collectives
  • Scale & Geographic Expansion: Playing a pivotal role in scaling our lending book and supporting launch operations as we expand our Borrowing products into new geographies
  • Bringing teams together: Leading Payments All Hands, goals processes, and strategic forums that ensure cohesion and momentum across the collective

🤩 We’d love to hear from you if you have...

  • Strategic Acumen: You have a deeply strategic mind, capable of seeing the bigger picture, thinking in systems, and anticipating future trends
  • Exceptional Problem-Solving Skills: Your “superpower” is solving complex problems with analytical rigor, commercial viability, and execution certainty
  • Adaptability & Ownership: You’re a self-starter who thrives in ambiguity, adept at navigating complex, rapidly evolving environments, and driven by impact and ownership
  • Collaboration & Influencing Without Authority: You have an exceptional ability to connect the dots across different parts of the business, foster collaboration, and drive alignment without authority
  • Commercial Mindset: You’re comfortable making trade-offs and prioritisation decisions based on data, business impact, and resource constraints
  • Analytical Rigour: A strong analytical skillset with a proven track record of comfortably navigating large datasets to solve unstructured problems independently
  • Collaborative Mindset: Experience working cross-functionally with highly technical teams such as Machine Learning and Data/Analytics Engineering
  • Operational Excellence: You’re motivated by improving how teams work - finding ways to make organisations more efficient, scalable, and focused on what matters most

🙌 What’s in it for you

💰 £86,100 - £101,300 (depending on experience) + incentive awards tied to your performance

📍 We're open to distributed working within the UK, with the expectation of working from the London office on occasional basis.

⏰ We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team.

📚 £1,000 learning budget each year to use on books, training courses and conferences.

🏡 We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup.

➕ Plus lots more! Read our full list of benefits.

🌈 The application journey has 4 key steps

  • Phone call with Recruiter (30 mins)
  • Initial behavioural video call with Hiring Manager (45 mins)
  • Analytical interview (60 mins)
  • Problem solving interview (60 mins)

Our average process takes around 3–4 weeks, but we will always work around your availability.

We’ll only close this role once we have enough applications for the next stage. Please submit your application as soon as possible to make sure you don’t miss out.

We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here.

#LI-NZ1 #LI-Remote

Source

Posted by Referrals Only on their own hiring page, job-boards.greenhouse.io. OptiTalent shows it as published, read 06 Nov 2026 23:59 UTC; the original is the reference.

View the original ad ↗

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