Data & Insights COE Lead

• Let's Write Africa's Story Together! Old Mutual is a firm believer in the African opportunity and our diverse talent reflects this. Job Description The Data & Insights COE Lead owns and operates the analytics Centre of Excellence for the Demand Marketing & AI Personalisation function. This role is the analytical authority that ensures every commercial decision made by Business Owners, every campaign launched by the Demand Marketing team, and every AI product iteration by the Personalisation team is grounded in rigorous, trustworthy data analysis and insight. Key Responsibilities COE Hub : Standards, Methodology & Capability Development* Define and maintain the analytical standards framework : methodology guidelines, statistical rigour requirements, data visualisation standards, insight documentation templates, and quality benchmarks that all analysts (hub and embedded) must follow.* Own the analytical tooling strategy : select, configure, and govern the BI / visualisation platform (Power BI, Looker, Tableau, or equivalent), advanced analytics environments (Python / R notebooks, SQL IDEs), and self-service query tools.* Build and maintain a governed semantic / metrics layer that ensures all dashboards, reports, and analyses reference the same trusted, consistently defined metrics — eliminating “duelling dashboards” and metric inconsistencies.* Define the insight-to-action methodology : a structured framework for how insights are generated, documented, communicated to stakeholders, and tracked for adoption (was the insight acted upon, and what was the result).* Own professional development for all analysts in the function : structured learning plans, technical skill progression (SQL → Python → statistical modelling → ML), analytical storytelling capability, and career development conversations.* Conduct regular analytical quality reviews across embedded analysts’ outputs : not approving every deliverable, but running periodic sample audits to ensure methodological rigour, data accuracy, and insight quality are maintained.* Build and maintain an analytical knowledge base : reusable analysis templates, query libraries, metric definitions, and documented methodologies that accelerate analytical delivery across the function.* Facilitate cross-channel analytical collaboration : regular analyst community meetings where embedded analysts share learnings, compare approaches, and identify cross-cutting analytical opportunities.Embedded Analyst Operating Model Management* Manage the embedded analyst operating rhythm : ensure each embedded analyst (Rewards and Digital) is aligned to their respective product team’s sprint cadence, attends planning sessions, and has clear priorities set by the channel Product Owner.* Maintain the solid-line / direction-line governance : embedded analysts report to the COE Lead for professional standards, performance reviews, and career development, but receive work direction from their channel Product Owner.* Manage prioritisation conflicts : when an embedded analyst is overloaded or pulled between competing channel requests, the COE Lead facilitates resolution in collaboration with the channel PO — not by unilaterally redirecting the analyst.* Ensure cross-functional coverage : the function cannot afford 1 : 1 analyst-per-PO coverage. Design for analysts covering multiple channel surfaces (e.g., one analyst covering web, app, and WhatsApp for Digital) with clear prioritisation mechanisms when demand exceeds capacity.* Manage the onboarding of new embedded analysts : ensure they understand both the COE standards and the channel team’s context, operating rhythm, and data landscape.* Act as the escalation point for embedded analysts : when they encounter data quality issues, infrastructure gaps, or access barriers, the COE Lead’s job is to unblock them — not to add bureaucratic layers.Embedded Analytics : Rewards Product Area* Ensure the Rewards embedded team (Data Scientist + Junior Data Analyst) delivers against the Rewards BO’s analytical needs : member acquisition funnel analysis, activation rate tracking, engagement pattern identification, and retention cohort analysis.* Oversee member value and lifetime value modelling to inform proposition design and investment decisions.* Ensure redemption pattern analysis, reward attractiveness scoring, and earn-burn dynamics reporting are delivered to the Rewards BO with actionable recommendations.* Oversee partner performance analytics : transaction volumes, conversion rates, cost per redemption, and partner ROI reporting.* Ensure the embedded team supports tier and loyalty programme design with data-driven modelling.* Oversee adviser-specific analytics : adviser adoption dashboards, adviser performance measurement, adviser sentiment tracking, and continuous optimisation through adviser performance analysis.* Ensure regular insight packs are delivered to the Rewards BO (fortnightly / monthly) with strategic recommendations.* Ensure the embedded team supports A / B testing and experimentation within the Rewards product.Embedded Analytics : Digital Platform Product Area* Ensure the Digital embedded team (Data Scientist + Senior Data Analyst) delivers against the Digital Channels BO’s analytical needs : user journey analysis, navigation pattern mapping, feature adoption tracking, and drop-off / conversion funnel analysis.* Oversee product analytics instrumentation : event tracking taxonomy, feature flag integration, and tracking plan governance in collaboration with Technology / Engineering.* Ensure content engagement pattern analysis is delivered to inform content strategy and personalisation decisions.* Oversee product experiment design, measurement, and interpretation for the Digital Platform team.* Ensure predictive models for user churn, feature adoption, and engagement trajectory are built and maintained.* Ensure regular insight packs are delivered to the Digital Channels BO (fortnightly / monthly) with strategic recommendations.* Ensure platform health monitoring and anomaly alerting (traffic drops, error spikes, performance degradation) is in place.Self-Service Reporting Ecosystem* Own the reporting ecosystem : build and maintain the dashboards, data models, and self-service tools that give Business Owners, product managers, and campaign teams real-time visibility into performance.* Build and maintain executive dashboards for the Rewards BO and Digital Channels BO covering key commercial metrics (members, revenue, engagement, retention, partner performance).* Develop product-level dashboards for Rewards (member activity, redemption, partner performance, tier progression) and Digital Platform (traffic, registrations, session depth, feature adoption, content engagement).* Build campaign reporting dashboards with real-time in-flight and post-campaign views, in collaboration with the Campaign Build & Marketing Ops Specialist.* Implement a self-service analytics layer with governed data models that reduce dependency on manual report requests (target : >

70% self-service vs. manual ratio).* Train stakeholders on self-service tools and data interpretation : Business Owners and product managers should be able to answer standard questions themselves without filing an analyst request.* Continuously audit and retire unused reports to keep the reporting estate manageable and the metric layer trustworthy.* Track dashboard adoption and usage : if dashboards aren’t being used, either the dashboard is wrong or the stakeholder hasn’t been trained — both are this role’s problem to solve.Campaign Analytics & Attribution* Own the campaign measurement framework : pre-campaign KPI setting, in-flight monitoring standards, and post-campaign analysis templates.* Build and maintain multi-touch and algorithmic attribution models that connect campaign activity to commercial outcomes — moving beyond last-click attribution to understand true marketing impact.* Conduct post-campaign analyses #J-18808-Ljbffr