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The Communication and Engagement Specialist will create and implement strategies for internal communication and engagement, focusing on transformation programmes. Responsibilities include designing communication assets, measuring engagement effectiveness, and collaborating with stakeholders. Strong storytelling and presentation skills are essential, along with experience in training material development.

Lead discovery, design and delivery of Microsoft Power Platform automation solutions. Conduct process assessments, configure Power Apps/Automate/BI solutions, perform API integrations and process mining, support UAT, troubleshooting and rollout with clients and stakeholders.

Lead the design and implementation of secure architectures for financial institutions, focusing on cloud and hybrid environments. Conduct threat modeling, lead DevSecOps practices, and mentor teams while partnering across disciplines.

The Lead Service Designer will create customer-centric products and services, facilitate workshops, manage design delivery and advocate for design across teams.

Manage end-to-end delivery of wealth and asset management transformation programmes, focusing on platform implementations, post-merger integration, and advisory/servicing model changes. Coordinate cross-functional teams, run governance and RAID processes, engage stakeholders, and ensure delivery within scope, timeline, and quality in Agile or hybrid environments.

Lead business analysis for Guidewire implementations, eliciting and documenting business and functional requirements, facilitating stakeholder workshops, supporting Agile backlog and sprint activities, ensuring traceability from requirements through configuration, testing and deployment across policy, claims and billing domains.

Lead end-to-end Life & Pensions transformation programs: define requirements, design target operating models, manage delivery (plans, governance, RAID, budgets), coordinate testing/UAT, and track benefits while aligning business and technology teams.

Lead AI-driven data and analytics programmes in financial services, mentoring teams and ensuring delivery of measurable outcomes.

Translate business needs into structured requirements to enable wealth platform and operations transformations. Gather and document business and data requirements, create user stories and manage product backlogs in Agile, map current and target operating models, define integration and data requirements, and work with technology teams and platform providers to ensure alignment between business and technical delivery.

Lead and mentor data science teams to design, develop, and deploy ML and AI solutions (including GenAI/LLMs). Align technical outcomes with business goals, drive MLOps and model governance, and deliver scalable production systems.