• Develop a tailored on-boarding plan highlighting your experience and focusing on development • Work with our team of account executives to develop and progress sales opportunities • Responsible for the opportunity from a technical perspective focusing on a consultative approach • Join an initial call to discover and refine challenges which a prospective customer is facing • Provide platform demonstrations across all levels of stakeholders from CxO to SME • Answer technical questions, for example responding to RFPs and pre-sales queries • Provide strategic guidance on implementing identity programmes • Collaborate with the SE team and participate in regular team calls

• Leads solution design for highly visible ERP corporate transformation initiatives, ensuring high-quality, integrated software solutions within the constraints of time and budget • Design, create, improve, and maintain Oracle Fusion Cloud ERP platform while applying the necessary best practices and logic • Deliver technology plans, roadmaps, guidance, and the associated governance that is required to enable technology changes to be effective • Provide enterprise leadership and guidance for ERP and back-office data management, data modelling, master data management, data governance, transformations, enrichment, data integrations, and data pipelines • Communicate ERP and back-office data architecture and process vision, technical strategies, and trade-offs across various levels in the organization • Develop ERP and back-office data architecture blueprints, patterns, roadmaps, and frameworks that enable adoption, reuse, and standardization • Collaborate with data leaders and stakeholders, such as Enterprise Business Intelligence and Product teams, to ensure alignment of data strategy and governance • Work with Business stakeholders, Analysts, Developers, and Project Managers through project initiation and delivery

• Creating field facing solutions content (Technical Walkthroughs, Deep Dives, Demos, Qualification Guides) for specific solutions around Analytics & AI. • Mainstreaming solution area and other enablement projects to equip the field for Analytics & AI opportunities. • Conducting webinars/events presentations with partners, capable of inspiring the field. • Participating in customer engagements like calls, demos, and internal strategy sessions. • Staying updated on internal product offerings and formalizing enablement plan. • Participating in solutions roadmap discussions and engaging in daily conversations about feedback from the field. • Oversight in field testing for documentation and knowledge sharing. • Providing post-sales assists/troubleshooting with expert-level knowledge around solutions. • Partnering with sales leaders for two-way feedback and communication.

• Design cloud-native AI and data solution architectures, including reference patterns, data flows, AI/ML workflows, and LLM orchestration that balance scalability, security, cost, and speed to value. • Translate AI and data architectures into clear diagrams, executive-ready narratives, visuals, and roadmaps for technical and non-technical stakeholders. • Advise clients on AI strategy, build-vs-buy decisions, governance, and ethical considerations. • Integrate and orchestrate data across multiple platforms, including cloud data warehouses and lakes (e.g., Snowflake, BigQuery, Databricks) and external APIs • Collaborate with ML Engineers and Data Engineers to validate architectural alignment and integration feasibility. • Conduct architecture reviews and risk assessments; identify and execute course corrections as needed. • Architect AI solutions that leverage LLMs and RAG patterns to deliver interpretable insights and human-readable outputs from complex model results. • Mentor junior architects and consultants; contribute to reusable accelerators, templates, and an internal knowledge base. • Provide technical oversight across multiple client engagements, ensuring architectural consistency, delivery quality, and alignment between business requirements and implemented solutions. • Provide hands-on guidance to engineering and data teams on API integrations, data pipelines, and AI service connectivity, ensuring solutions are scalable, secure, and maintainable. • Stay current on emerging AI platforms, LLM tooling, and cloud-based data services, continuously evaluating how they can enhance our integration capabilities.