Head of Academy

Head of Academy Reporting LineReports to the Chief Human Resources Officer (CHRO) for day-to-day operations, with a dotted line to the CEO for commercial outcomes. The CHRO at this organisation is a commercial role with direct accountability for business outcomes — not a back-office function.No direct reports at this stage — the role operates as a solo lead, leveraging AI tooling in place of traditional headcount.LocationRemote (European timezone preferred). Occasional travel to group sales offices to engage with introducing brokers and understand client needs firsthand.General PurposeThe Head of Academy builds and runs the group's AI-first online learning platform, serving two audiences with equal weight: helping traders develop the skills that keep them engaged and active, and equipping introducing brokers with the knowledge and tools to grow their client base and generate more business.Specific ObjectivesLaunch the AI-personalised learning engineShip a working version of the personalised curriculum system — integrating with a trading analytics engine (Tradefora or equivalent) — so that course selection is driven by trader profile, stated goals, and actual trading behaviour, not manual browsing. Live within the first 90 days.Drive measurable trader retentionAchieve a 10% improvement in trader retention attributable to Academy engagement, measured at 12 months against a pre-launch baseline. Trader engagement metrics — course completions, return logins, active learning sessions — serve as the leading indicators.Build and measure IB developmentDeliver a dedicated IB learning and content track — including edutainment and branded content designed to acquire as well as educate — with success measured by CRM-attributed trader acquisition. The target: participating IBs show a 10% uplift in new trader acquisition attributable to Academy-produced content within 12 months. Content consumption and distribution serve as supporting diagnostics.Map the full trader journeyDocument and partially build the end-to-end "Zero to Hero" pathway — from onboarding a new trader through to live trading, strategy codification, and agentic trading compatibility with MT5 and TradingView.Convert IBs from non-exclusive to exclusiveAchieve a 20% increase in exclusive partnership agreements among Academy-engaged IBs within 12 months, driven by the tangible value the Academy delivers to their business. Key ActivitiesNothing exists yet — no platform, no content, no stack, no team. What follows is what building it from zero actually looks like.Design and run AI-powered content workflowsCommission, quality-check, and iterate trading and IB education content using AI tooling — treating large language models and specialist AI agents as the primary content engine, with the role focused on prompt engineering, curation, and continuous improvement. This includes edutainment and branded content designed to acquire as well as educate.Build and manage the personalisation layerConnect trading data sources (including Tradefora or equivalent analytics integrations) to the learning platform via API, and configure AI-driven logic that matches each trader's profile, goals, and behavioural data to the right curriculum path.Select and orchestrate the technology stackEvaluate, choose, and integrate the platform, AI agents, and automation tools needed to run the Academy — remaining platform-agnostic and replacing traditional headcount with agent-based workflows wherever possible.Own the IB learning trackDesign and maintain a dedicated curriculum for introducing brokers, drawing on direct engagement with sales offices to understand what IBs actually need to grow their client base and onboard active traders.Monitor performance and iterateTrack retention, engagement, and learning outcomes across both trader and IB audiences; use data to identify gaps, retire underperforming content, and prioritise the next build cycle. Key CompetencesAI tooling fluencyProven ability to build workflows using LLMs, AI agents, and automation tools — not just as a user but as an orchestrator who can replace traditional headcount with agent-based processes.AI-driven content creationAble to use AI to research, write, structure, and iterate educational content at scale — comfortable with prompt engineering, output curation, and quality control without relying on human subject matter experts.API integration and data literacyComfortable connecting platforms and data sources via API, and using trading or behavioural data to drive personalisation logic — no deep engineering required, but enough to own the integration decisions.Solo operator mindsetAble to build, run, and iterate a multi-audience product without a team — self-directing, bias to action, comfortable with ambiguity in an early-stage environment.Trading and financial markets knowledgeSufficient understanding of retail trading, broker ecosystems, and the IB model to commission credible content and engage meaningfully with traders