Revenue Operations Manager (Systems & AI)
Location: London (Hybrid)
Team: Finance / Commercial
Reports to: CFO
Contract: Full Time
Compensation: £70,000 – £85,000 base (depending on experience) + performance bonus
About VantagePoint
VantagePoint 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 120 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 RevOps Manager to own our internal systems and data strategy end-to-end - 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 senior, hands-on role at the intersection of CRM, operational systems, finance, and emerging technology. 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.
You will act as the single owner of data quality across the revenue lifecycle - from deal creation through to project setup and financial insight - while also shaping the broader systems and AI roadmap in partnership with the CFO and leadership team.
A significant part of our systems landscape is mid-implementation or being re-architected, so there is real scope to shape how things work, not just inherit a fixed setup.
Core responsibilities
Systems, data strategy & AI ownership
- 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
- 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
Project data & system flow
- 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
Automation & continuous improvement
- 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
- Experience in Revenue Operations, Data/Systems, or Operational Finance, ideally in a consultancy or professional services environment
- Strong hands-on experience with CRM systems (e.g. HubSpot, Attio) and pipeline management
- Experience with workflow automation tools and building multi-step workflows
- A track record of applying, or a strong appetite to apply, AI to real business problems - not just an interest in the topic
- 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 operating at a senior level, with the confidence to own decisions on systems and data strategy rather than just execute against a brief
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
