As a Lead Data Architect, Client Delivery, you will own the technical delivery of two large, fast-growing US data accounts from our Ghana service centre. You will be the senior hands-on architect and delivery lead that client teams and our engineers rely on every day, BI and software engineers, and keep quality high as the accounts grow. Why This Role Exists Our data consulting practice is growing faster than our senior bench. Two anchor US clients now run multi-workstream programmes: enterprise data lakes on Microsoft Fabric that consolidate several ERPs, executive finance and operations reporting, and AI applications built on top of that data. New requests arrive every month. We need a second senior technical leader who can run delivery with little day-to-day oversight. That frees our Director of Data to grow these accounts further and to take on new clients of similar size. What You'll Own Data Architecture and Technical Quality: Own the target data architecture for each account, including Medallion lakehouse design (Bronze/Silver/Gold), semantic models, naming conventions, lineage and access control Design integrations from several source systems into one governed platform. Typical sources are SAP ECC, Infor, CMiC, Sage 300 and Salesforce, plus operational apps and APIs Set and enforce engineering standards: code review, CI/CD in Azure DevOps or GitHub, testing and data-validation gates, runbooks and documentation Review designs and pull requests from engineers, and step in hands-on when a pipeline, model or deadline is at risk. Client Delivery: Act as day-to-day technical lead for client stakeholders, up to senior executive level; run working sessions, gather business rules and turn them into delivery plans Plan and track delivery across parallel workstreams, flagging risks and blockers early with a proposed fix and a clear ask of the client Write concise executive updates and own the quality of everything the team sends to the client. Growth and Team: Spot follow-on opportunities, then help shape scope, estimates and statements of work, including AI use cases with a clear business case Coach mid-level leads and grow junior engineers into owners of their workstreams. Build reusable playbooks so each new engagement starts faster Support staffing of new projects: interview candidates, plan onboarding and balance load across accounts.