VantagePoint
RevOps Manager
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RevOps Manager
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 enabling finance teams to operate with greater control, transparency, and insight.
Our model combines deep finance expertise with strong technical delivery, allowing us to deliver practical outcomes and foster long-term partnerships with our clients.
The Opportunity
We are looking for a Revenue Operations 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 achieve this.
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, identifying where AI and automation can meaningfully improve how the business runs.
Key focus areas include:
- Acting as the single owner of data quality across the revenue lifecycle—from deal creation to project setup and financial insight.
- Shaping the broader systems and AI roadmap in partnership with the CFO and leadership team.
- Influencing how systems evolve as the business grows, given that a significant portion of our systems landscape is mid-implementation or being re-architected.
Core Responsibilities
Systems, Data Strategy & AI Ownership
- Act as the interface to decide how tools, integrations, and data models should evolve as the business grows.
- Identify and lead AI opportunities in 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, balancing speed, robustness, and long-term scalability.
- Drive a continuous improvement roadmap for systems and automation rather than isolated projects.
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CRM Ownership & Pipeline Hygiene
- Own CRM data quality, including 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) for 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 a seamless data handoff from closed deal to project setup across systems.
- Oversee the integrity of project-level data (structure, metadata, financial inputs).
- Build automations to eliminate manual re-keying between systems.
- Maintain clear documentation of data flows and processes.
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 consultancy or professional services.
- Strong hands-on experience with CRM systems (e.g., HubSpot, Attio) and pipeline management.
- Knowledge of workflow automation tools and building multi-step workflows.
- Track record of applying (or appetite to apply) AI to real business problems (not theoretical curiosity).
- Understanding of data flows from CRM → delivery → finance (ERP).
- Experience with forecasting, pipeline, or performance insights—not just reporting.
- Strong grasp of data structures, integrations, and system design.
- Senior-level capacity to own data and systems strategy decisions, not just execution.
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Key Attributes
- High attention to detail with no tolerance for poor data quality.
- Ability to hold stakeholders accountable, especially within sales.
- Systems-minded—always looking to simplify, structure, and automate.
- Genuinely curious about practical AI applications, not just theoretical debates.
- Desire to operate seamlessly across technical detail and commercial context.
- Clear, confident communicator with senior leadership presence.
What Success Looks Like
- You are regarded as the owner of our internal systems, data, and AI-enabled ways of working.
- The CRM pipeline is accurate, owned, and trusted—no last-minute chasing.
- Systems are connected end-to-end with clean, reliable data flows.
- Forecasting is consistent, data-led, and used to drive data-informed decisions.
- Project data is set up correctly 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.
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