• Lead the design and build of new functionalities in SAP MDG, and PLM systems to meet evolving business needs. • Develop and implement integration solutions between PLM tools (e.g., SAP PLM, LeverX IPS) and SAP ERP systems. • Collaborate with stakeholders to gather requirements, define specifications, and translate them into technical solutions. • Establish and implement master data governance frameworks, workflows, and approval processes. • Define and enforce data standards, naming conventions, and validation rules to ensure data quality. • Enable efficient product lifecycle processes through system enhancements and automation. • Identify opportunities to optimize engineering, manufacturing, and supply chain processes through PLM and MDM solutions. • Evaluate emerging technologies and tools to enhance PLM and MDG capabilities. • Provide thought leadership on best practices for data management and product lifecycle integration. • Partner with cross-functional teams including engineering, manufacturing, supply chain, and IT to deliver end-to-end solutions. • Prepare functional and technical documentation for new solutions. • Conduct knowledge transfer and training sessions for business users and technical support teams.

• Build key product experiences using React/Next.js, JavaScript and TypeScript, Redux, React Router, Node.js, and Postgres. • Take on a multi-faceted role from analysing requirements and conducting research to coding and documentation, shipping new features, refining apps' UI/UX to implement visually appealing and intuitive user interfaces, and optimising systems for scale. • Most of your work will be focused on frontend development, and your ability to combine technical strength with design intuition will shine here. • Integrate with various APIs like ChatGPT, AWS-SES, WhatsApp API and similar third-party services to enhance app functionality and achieve quick development of the functionality. • Utilise Version Control Systems (e.g., Git, GitHub) to manage and track changes to the codebase. • Troubleshoot, debug, and optimize code for performance, scalability and cross-browser compatibility. • Participate in code reviews and contribute to best practices.

• Reporting to the Head of AI Solutions Incubation, the Solution Engineer is Andela's technical solutions lead. • This hands-on role involves embedded customer engagement for discovery, solution architecture, building proof-of-concepts (POCs), and securing technical wins. • You bridge customer needs with Andela's delivery capability. • Lead discovery, map workflows, identify pain points, document technical environments, and assess feasibility. • Design custom architectures, create technical diagrams, and develop/present technical proposals. • Build working POCs with production-quality code, integrate with customer systems, and iterate based on feedback. • Own the technical win, provide expertise, and build customer confidence. • Scope size and composition of delivery team. Transfer context to the delivery team, support kickoff, and monitor critical phases. • Identify solution gaps, propose new Solution Packages, and share competitive intelligence.

• Drive the strategy and commercialization of assigned AI solutions • Transform custom programs into scalable, high-margin Solution Packages • Design scalable Solution Packages (50-70%+ margin) • Define roadmaps, capture IP/build playbooks for faster deployment • Create sales enablement materials • Design pricing and define ideal customer profiles • Identify and cultivate strategic partnerships; represent Andela in thought leadership