Revenue Operations Manager

The Revenue Operations Manager will act as a business partner and co-owner of the commercial operating model, enabling consistent, data-driven decision-making across the sales organisation. This role is responsible for driving sales performance through robust planning, forecasting, pipeline management, and performance discipline, ensuring that leadership has clear visibility on risks and opportunities. The Revenue Operations Manager will co-lead the annual sales planning process, forecasting accuracy, and establish a structured operating cadence across regions, working closely with regional heads and cross-functional teams to improve revenue predictability and execution. This role will also lead a step-change in the organisation’s use of data and automation. Current data quality, visibility and utilisation are inconsistent; a key priority will be to establish a robust, data-driven operating model and leverage AI and automation to improve efficiency, insights, and sales productivity. You will report to the Chief Financial & Operating Officer, working closely with Finance and with the regional Commercial teams. Key Responsibilities: Business Partnering and Planning: Act as a business partner to senior sales leadership, providing forward-looking insights, challenging assumptions, and driving corrective action on performance gaps. Lead the annual sales planning process, including territory design, quota setting, and capacity modelling. Own sales forecasting models and forecast accuracy across regions, using advanced analytics and AI to improve pipeline prioritisation and scenario planning. Align go-to-market activity across sales, business development, finance, marketing, and product to improve conversion, productivity, and retention. Reporting and Performance Management: Run a structured operating cadence of forecast calls, business reviews, and pipeline inspection across regions. Define and track core commercial KPIs by region, product and segment, covering new sales, upsell, renewals, churn, conversion, and productivity. Translate reporting into clear actions, surfacing risks, underperformance, and required interventions to senior leadership. Ensure reporting is automated, scalable and near real-time, reducing reliance on manual data aggregation. Data, Systems, and Automation: Lead the transformation of sales data quality, governance and usage, establishing a single source of truth for commercial performance across regions and systems. Identify and implement AI and automation across the sales lifecycle (e.g. lead scoring, pipeline prioritisation, forecasting, segmentation, reporting) to cut manual effort and improve speed and accuracy. Standardise and redesign core sales processes — lead generation, qualification, and deal closure — to improve efficiency and consistency. Own Salesforce and the wider commercial tech stack, ensuring data integrity, correct usage, and a scalable, integrated toolset. Partner with…