At a Glance
- Tasks: Lead our internal systems and data strategy, driving AI and automation for efficiency.
- Company: Join VantagePoint, a fast-growing finance transformation consultancy with a global presence.
- Benefits: Competitive salary, performance bonuses, and a comprehensive benefits package.
- Other info: Dynamic role with opportunities for continuous improvement and career growth.
- Why this job: Make a real impact by optimising systems and enhancing data-driven decision-making.
- Qualifications: 4-5 years in Revenue Operations with strong CRM and automation experience.
The predicted salary is between 60000 - 80000 £ per year.
Compensation
- £60,000 – £80,000 base (depending on experience) + performance bonus & benefits package
- About Vantage Point
Vantage Point is a global finance transformation and technology consultancy helping organisations modernise the finance function through process improvement, data, and leading technology platforms.
Founded in London, the firm has grown rapidly from a team of five to more than 100 professionals across Europe, North America and APAC.
We specialise in implementing and optimising market-leading finance technologies, supporting organisations through complex transformation programmes and helping finance teams operate with greater control, transparency and insight.
Our model combines deep finance expertise with strong technical delivery - allowing us to deliver practical outcomes and long-term partnerships with our clients.
The opportunity
We're looking for a Revenue Operations Manager to own our internal systems and data strategy - the person who decides how our commercial, delivery, and finance systems should work together, and who drives our use of AI and automation to get there.
This is a hands-on role at the intersection of CRM, operational systems, finance, and emerging technology, suited to someone around 4-5 years into their Revenue Operations career who's ready to own decisions rather than just execute against a brief.
You'll be accountable for the integrity, structure, and flow of our commercial and operational data, and for identifying where AI and automation can meaningfully improve how the business runs - with the latitude to prioritise and run your own projects rather than work through a fixed backlog.
- Core responsibilities
- Act as the internal owner of our systems and data strategy - deciding how tools, integrations, and data models should evolve as the business grows
- Identify and lead opportunities to apply AI to workflows, forecasting, and analysis, turning early ideas into practical, adopted improvements
- Own the end-to-end data model across CRM (Attio), project tracking (Rocketlane), and finance systems
- Design and maintain clean, scalable data flows between systems, and make pragmatic trade-offs between speed, robustness, and long-term scalability
- Manage and prioritise multiple concurrent systems/automation projects, balancing competing deadlines and stakeholder demands without close oversight
- Drive a continuous improvement roadmap for systems and automation, rather than one-off projects
- CRM ownership & pipeline hygiene
- Own CRM data quality across pipeline - deal stages, probabilities, close dates, and values
- Establish governance and hold deal owners accountable for accuracy
- Run regular pipeline reviews to ensure forecasting reflects reality
- Build automated workflows (e. g. Zapier) to enforce hygiene and reduce manual chasing
- Forecasting & commercial insight
- Translate pipeline and project data into accurate revenue forecasts
- Identify gaps between pipeline, delivery progress, billing, and revenue
- Surface risks, trends, and performance signals early
- Partner with leadership to improve forecast accuracy and decision-making
- Ensure clean data handoff from closed deal to project setup across systems
- Own the integrity of project-level data (structure, metadata, financial inputs)
- Build automations to remove manual re-keying between systems
- Maintain clear documentation of how data flows and processes work
- Own the automation stack across commercial and operational workflows
- Identify and eliminate manual or repetitive processes
- Maintain a prioritised backlog of improvements and automations
- Track impact - time saved, errors reduced, speed improved
What we're looking for
Experience & capability
- Around 4-5 years' experience in Revenue Operations, Data/Systems, or Operational Finance - consultancy or SME/scale-up experience particularly welcome, where you've had to build processes with limited support
- Strong hands-on experience with CRM systems (e. g. Hub Spot, Attio) and pipeline management
- Experience with workflow automation tools and building multi-step workflows
- A track record of applying AI to real business problems, with specific examples you can walk us through of what you built and the impact it had
- Understanding of how data flows across CRM → delivery → finance (ERP)
- Experience producing forecasting, pipeline, or performance insights, not just reporting
- Strong grasp of data structures, integrations, and system design
- Comfortable running your own workload - prioritising, sequencing, and delivering multiple projects at once with minimal hand-holding
- Key attributes
- High attention to detail with a low tolerance for poor data quality
- Comfortable holding stakeholders to account, particularly within sales
- Systems-minded - always looking to simplify, structure, and automate
- Genuinely curious about AI and how it can be applied practically, not just theoretically
- Able to operate across technical detail and commercial context
- Clear, confident communicator with senior stakeholder presence
- What success looks like
- You are recognised as the owner of our internal systems, data, and AI-enabled ways of working
- CRM pipeline is accurate, owned, and trusted - not chased
- Systems are connected end-to-end with clean, reliable data flows
- Forecasting is consistent, data-led, and used to drive decisions
- Project data is set up right first time, enabling reliable downstream reporting
- Manual processes are progressively eliminated through automation and AI
Our values
- Thrive together
- we win as one team
- Take ownership
- accountability for outcomes, not just tasks
- Quality, every time
- consistent, well-judged delivery
- Be human, first
- trust, empathy and respect
- Speak with clarity
- open, direct, low ego
- Move with intent
- decisive, reflective, always improving
- #J-18808-Ljbffr
Revenue Operations Manager employer: VantagePoint
VantagePoint is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Employees benefit from comprehensive growth opportunities, including professional development and training in cutting-edge AI technologies, while enjoying a hybrid work model that promotes work-life balance. Join us to be part of a forward-thinking team dedicated to driving operational excellence and making a meaningful impact in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Revenue Operations Manager
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like VantagePoint!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Revenue Operations Manager
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at VantagePoint, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at VantagePoint
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with VantagePoint’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
