Head of AI & BI Reporting

Company OverviewOur client, a global regulated financial services group with a strong presence across international markets, provides online trading and investment solutions across Forex, CFDs, commodities, indices, equities, and digital assets. The organisation is investing heavily in Artificial Intelligence, data transformation, automation, and advanced analytics to strengthen customer experience, operational performance, risk intelligence, and strategic decision-making.Role OverviewThe Head of AI & BI Reporting will lead the organisation’s enterprise-wide Artificial Intelligence, Business Intelligence, Data Analytics, and Reporting functions.This strategic leadership role will be responsible for building a data-driven culture, accelerating AI adoption, and delivering advanced analytics capabilities that support business growth, operational excellence, customer engagement, and executive decision-making.The successful candidate will oversee AI initiatives, predictive analytics, BI reporting, customer intelligence, experimentation frameworks, and enterprise analytics platforms. They will lead a multidisciplinary team of Data Scientists, BI Analysts, Data Engineers, and AI Specialists, serving as a trusted advisor to executive leadership by translating complex data into actionable commercial strategies.ResponsibilitiesAI Strategy & LeadershipDefine and execute the enterprise AI, Analytics, and Business Intelligence strategy in line with corporate objectives.Lead the development and deployment of AI, Machine Learning, Generative AI, predictive analytics, and intelligent automation solutions across business functions.Establish AI governance frameworks, model monitoring standards, explainability practices, and responsible AI policies.Identify opportunities where AI and advanced analytics can improve revenue growth, customer engagement, retention, operational efficiency, and risk management.Evaluate emerging AI technologies, platforms, and tools to maintain a competitive advantage within financial services.Business Intelligence & Advanced AnalyticsBuild end-to-end analytical frameworks covering the customer lifecycle, including acquisition, activation, retention, monetisation, and lifetime value.Develop enterprise KPI frameworks and executive dashboards across trading, operations, marketing, finance, and customer experience.Leverage predictive models such as churn prediction, propensity scoring, customer lifetime value modelling, and recommendation engines to support decision-making.Design advanced customer segmentation models using clustering techniques and behavioural feature engineering.Conduct funnel analysis using event-level data, clickstream analytics, customer journeys, and platform interaction data.Apply attribution methodologies, including rule-based attribution, probabilistic attribution, and Marketing Mix Modelling, to assess marketing effectiveness and ROI.Translate complex data, predictive model outputs, and AI-generated insights into commercially actionable recommendations for senior stakeholders.Experimentation & OptimisationDesign and evaluate experimentation frameworks, including A/B testing, multivariate testing, uplift modelling, and causal measurement.Establish governance and best practices for hypothesis testing, experimentation design, and performance measurement.Monitor and optimise customer acquisition cost, activation, retention, engagement, churn, conversion, and lifetime value metrics.Data Engineering & ReportingOversee scalable analytics pipelines using SQL, Python, and cloud-based data platforms.Build automated reporting, forecasting, monitoring, and anomaly-detection solutions using AI-powered analytics tools.Ensure data quality, consistency, governance, security, and regulatory compliance across reporting and analytics environments.Manage structured, semi-structured, and event-driven datasets from trading platforms, CRM systems, marketing technologies, web applications, and third-party sources.Drive self-service analytics adoption through modern BI tools and data-democratisation initiatives.Leadership & Stakeholder ManagementLead, mentor, and scale high-performing teams across AI, Data Science, BI, Analytics, and Reporting.Partner with Product, Marketing, Technology, Trading, Finance, Risk, Compliance, and Operations teams to align analytics initiatives with business priorities.Present AI roadmaps, strategic insights, and performance updates to executive leadership.Foster a culture of experimentation, innovation, accountability, and data-driven decision-making.RequirementsBachelor’s or Master’s degree in Data Science, Artificial Intelligence, Computer Science, Statistics, Mathematics, Engineering, Business Analytics, or a related field.10+ years of experience in Analytics, Business Intelligence, Data Science, AI, or related disciplines, including at least 5 years in a leadership role.Proven experience building and leading enterprise AI, BI, and analytics functions within financial services, fintech, banking, capital markets, or technology-led organisationsStrong expertise in SQL, large-scale data transformation, data modelling, and analytics.Advanced Python capability, including Pandas, NumPy, SciPy, Statsmodels, Scikit-Learn, and related libraries.Strong understanding of statistical modelling, predictive analytics, machine learning, hypothesis testing, and experimental design.Experience assessing model performance through Precision, Recall, F1 Score, ROC-AUC, Lift, Incrementality, and business-impact metrics.Hands-on experience with Power BI, Tableau, Looker, Qlik, or comparable BI and visualisation platforms.Experience with product analytics tools such as Amplitude, Mixpanel, GA4, or equivalent platforms.Strong knowledge of cohort analysis, retention modelling, funnel optimisation, customer segmentation, attribution, and LTV analysis.Experience with A/B testing, multivariate testing, uplift modelling, causal inference, and experimentation governance.Familiarity with AWS, Azure, Google Cloud, Snowflake, Databricks, or comparable cloud analytics environments.Experience using AI-powered analytics, copilots, automation tools, and intelligent reporting solutions.Strong understanding of trading platforms, CFDs, Forex, cryptocurrency, capital markets, or related financial products is highly preferred.Excellent leadership, communication, stakeholder-management, and strategic-planning skills.Preferred ProfileExperience implementing Generative AI, Large Language Models, AI assistants, and enterprise intelligent-automation solutions.Strong understanding of MLOps, model lifecycle management, governance, and production AI deployment.Demonstrated success building analytics centres of excellence and scaling high-performing AI and BI teams.Experience operating within highly regulated financial-services environments.A strong commercial mindset and passion for using AI and advanced analytics to transform business performance and customer experience.