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The Performance Marketing Manager executes data-driven campaigns across direct and partner channels to drive customer acquisition, lead generation, conversion, and new business growth. Responsibilities include managing full-funnel campaigns, optimizing customer journeys, analyzing performance data, leading experimentation, reporting results, and collaborating with Distribution, Partnerships, Digital, Data, Product, and Operations teams while meeting regulatory and brand requirements.

Supports the implementation, enhancement, maintenance, and lifecycle management of insurance products and propositions. Coordinates requirements, system configuration, UAT, testing, deployment, documentation, regulatory compliance, incident resolution, and stakeholder communication across business and technical teams. Also supports sales initiatives, customer programs, operational risk assessments, and post-launch product enhancements.

Own the customer analytics product roadmap, data foundations, automation frameworks, predictive modeling use cases, dashboards, and performance measurement. Serve as the primary customer analytics SME, translating business needs into scalable analytical products that improve acquisition, engagement, retention, repurchase, upsell, cross-sell, and customer value. Coordinate delivery across marketing, data science, data engineering, martech, technology, and business teams while advising senior stakeholders.

Manage end-to-end Group Office Expense governance, reporting, analysis, forecasting, budgeting, and recharge consolidation. Partner with finance stakeholders and cost-center owners, support management reviews, maintain compliance and audit readiness, coach FP&A team members, and drive process standardization, automation, optimization, and system enhancements.

Oversee investment operations, including trade settlement, cash management, reconciliations, corporate actions, NAV production, fund administration, and service-provider governance. Lead operational transformation through process redesign, workflow automation, system enhancements, AI-enabled tools, dashboards, and management reporting. Supervise staff, manage operational risks and exceptions, and collaborate with custodians, administrators, auditors, portfolio managers, and other stakeholders.

Leads technical design and delivery of data engineering solutions migrating legacy data warehouses to Azure Databricks. Responsibilities include hands-on development, data modelling, ETL automation, DevOps, data quality, security, performance optimization, stakeholder collaboration, and mentoring onshore and offshore engineers. The role requires building scalable ingestion, curation, and transformation frameworks aligned with business requirements and architecture.

Negotiate supplier terms, discounts, and contracts; manage requisitions and purchase orders; develop sourcing strategies for cost reduction and supplier consolidation; establish procurement controls; review contracts and claims; resolve supplier performance issues; and support organization-wide sourcing and procurement initiatives.

Supports strategy and transformation initiatives within agency distribution by coordinating cross-functional projects, developing governance frameworks, tracking delivery, analyzing customer and market data, identifying sales-process improvements, and helping deploy digital tools and automated workflows to improve productivity, customer engagement, and distribution performance.

Leads strategic, enterprise-wide projects from planning through implementation and adoption. Manages scope, budget, timelines, risks, dependencies, stakeholder expectations, and executive escalations. Improves project management practices and drives cross-functional initiatives involving transformation, technology, process improvement, and business change.

Own AML systems and compliance data analytics, including Actimize governance, screening performance, data quality, transaction monitoring, sanctions and ABC controls. Conduct reconciliations, investigate anomalies, prepare reports and audit documentation, support regulatory requirements, develop dashboards, optimize controls, coordinate system changes, and provide AML training and technical guidance across Compliance, Technology, Operations, and Data teams.