Head of Revenue Analytics

The Apex Group was established in Bermuda in 2003 and is now one of the world’s largest fund administration and middle office solutions providers.Our business is unique in its ability to reach globally, service locally and provide cross-jurisdictional services. With our clients at the heart of everything we do, our hard‑working team has successfully delivered on an unprecedented growth and transformation journey, and we are now represented by over circa 13,000 employees across 112 offices worldwide. Your career with us should reflect your energy and passion.That’s why, at Apex Group, we will do more than simply ‘empower’ you. We will work to supercharge your unique skills and experience.Take the lead and we’ll give you the support you need to be at the top of your game. And we offer you the freedom to be a positive disrupter and turn big ideas into bold, industry‑changing realities.For our business, for clients, and for youHead of Revenue AnalyticsRole PurposeThe Head of Revenue Analytics is responsible for building, owning, and governing Apex Group’s global commercial analytics capability, ensuring trusted, actionable, and forward‑looking insights drive revenue predictability and growth.This role owns the revenue analytics layer across Salesforce and the enterprise data platform, while working in close partnership with Apex’s Global Analytics function and AI teams to integrate broader data sources, advanced analytics, and predictive insights into the commercial operating model.The role requires a leader who is technically credible, commercially fluent, and able to bridge enterprise data strategy with frontline sales execution—ensuring analytics move from reporting to decisioning and action.Key Responsibilities1. Revenue Analytics Ownership & ArchitectureOwn the end‑to‑end revenue analytics domain, including data models, metrics, dashboards, and insight delivery for Sales and CRM.Lead the design of scalable revenue data models across pipeline, forecasting, bookings, and performance.Own the semantic layer and metric definitions that power executive reporting and operational decision‑making.Partner with IT and Data Engineering to ensure performance, security, and scalability of the revenue analytics stack.2. Partnership with Global Analytics FunctionAct as the commercial analytics lead interfacing with Apex’s global enterprise analytics team.Align revenue analytics requirements with enterprise data standards, tooling, and governance.Leverage central analytics capabilities (data science, advanced modeling, data engineering) while retaining clear ownership of revenue‑specific outputs.Ensure consistency between enterprise‑wide analytics initiatives and commercial reporting.3. Advanced & Predictive AnalyticsLead the evolution from descriptive and diagnostic reporting to predictive and prescriptive analytics.Develop models to forecast pipeline risk, deal slippage, win probability, and revenue confidence.Partner with AI and data science teams to:Embed predictive insights into Salesforce and commercial workflowsEnable next‑best‑action recommendations for Sales and CRMSurface risks and opportunities proactively, not reactivelyChampion experimentation and iterative improvement of analytical models.4. Data Integration & External Data EnablementDrive the integration of additional internal and third‑party data sources, including:Market and industry dataClient and fund‑level intelligenceBenchmarking and competitive insightsAlternative and external signals relevant to revenue generationEnsure third‑party data is mapped, governed, and made actionable within commercial tools.Work with AI and product teams to operationalise insights rather than leaving them in dashboards.5. Analytics Build & Insight DeliveryLead the build of executive dashboards and scorecards for:Forecast accuracy and confidencePipeline health and conversionSales productivity and performanceRegional, product, and segment trendsEnsure insights are intuitive, timely, and aligned to commercial decision points.Support QBRs, MBRs, and board‑level reporting with defensible, consistent analytics.6. Data Governance, Quality & TrustOwn revenue data governance, including definitions, standards, lineage, and documentation.Establish monitoring and controls for data quality, completeness, and integrity.Partner with Sales Ops, Deal Desk, and CRM to drive upstream data discipline.Serve as the escalation point for revenue data discrepancies across regions.7. Leadership & Capability DevelopmentBuild and lead a high‑performing Revenue Analytics team.Set standards for analytical rigor, documentation, and technical excellence.Develop talent capable of operating confidently across data, AI, and commercial stakeholders.Required Experience & ProfileMust‑Have10–15+ years in analytics, data, or revenue intelligence roles.Experience leading analytics in financial services, fund administration, fintech, or regulated B2B environments.Strong hands‑on background in data modeling, SQL, an