• 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.

• We’re hiring an Enterprise Solutions Engineer (Presales) to shape and win enterprise ERP automation decisions: you reframe problems, quantify the cost of inaction, and prove value through tailored workshops and demos. • Partnering with an AE, you own technical leadership, value articulation, and de-risking security/integration—building alignment across CFO/CIO-led buying committees. • Practice insight selling: challenge the customer’s initial framing, introduce a sharper point of view on where value is actually trapped (exceptions, approvals, master data, controls), and reframe urgency using cost-of-inaction. • Lead discovery across CFO/CIO/Shared Services/Procurement to uncover operational bottlenecks and decision friction—and translate that into a crisp target-state narrative and mutual action plan. • Architect a tailored solution: scope, rollout approach, integration pattern, security posture, and success criteria. • Run deep dives with IT/security and articulate how blp works in enterprise environments (ERP digital twin, data synchronization, governance and controls). • Deliver high-impact demos that map to customer workflows (P2P, AP, S2P) and prove outcomes—not features. • Facilitate workshops that turn stakeholder skepticism into a tangible blueprint and path to value. • Build a credible value narrative: labor productivity capacity, cycle time reduction, compliance/control improvements, and stack simplification. • Support champions and the AE with executive-ready business-case inputs, impact ranges, and rollout economics. • Position blp against point tools and fragmented stacks (OCR/IDP/workflow/process mining/RPA) with an “end-to-end + exceptions-first” narrative. • Help the deal team land a clear “why now” anchored in operational risk, ERP program success, and enterprise scale requirements.