Enterprise Architect at Workday articulating innovative AI and cloud solutions for business and technical buyers. Leading high-level discussions and crafting compelling presentations
Responsibilities
Articulates and differentiates the Workday Core Architecture (intelligent data core) to both technical and business buyer personas, showcasing Workday's foundational technology.
Strategically lead high-level discussions on Workday's AI, Machine Learning (ML), and Agent-based architectures, positioning our solution as the future-ready, intelligent cloud platform.
Craft compelling presentations that showcase why Workday’s technology is fundamentally different and deliver impactful demonstrations that bridge complex technology with clear business outcomes.
Dive deep into technical topics such as data security, reporting & analytics, integrations, and Workday Extend, illustrating how these components support intelligent automation and extensibility.
Collaborate with stakeholders to create technical as-is and to-be architecture designs using graphical discovery tools, specifically highlighting how the Workday platform simplifies the IT landscape and drives value.
Conducts discoveries, deep dives, and scripted demonstrations with little support, and conducts discoveries and answers RFP questions independently.
Attain advanced domain knowledge and industry knowledge. Differentiates Workday product features and understands the competitive landscape, articulating customer use cases and value realizations to prospects.
Communicate complex technical concepts effectively to functional and technical audiences, while engaging confidently with C level executives.
Proactively cultivates relationships with sales teams and the broader Presales organization.
6+ years experience in enterprise software technical solution consulting ("Presales").
3+ years experience delivering compelling technical presentations and demonstrations
3+ years experience leading discovery conversations and confidence in delivering impactful demonstrations to C-Suite executives, business leaders and technical evaluators.
3+ years experience working with common cloud architectures, security, reporting, and/or integration standards.
Experience or certifications in solution architecture on hyperscaler environments such as AWS or GCP, is a preferred qualification.
Exposure to AI agents and experience in agent development tools such as LangGraph, Flowise, Dify, AutoGPT, Vertex AI.
Familiarity with low-code platforms and tools, along with hands-on experience designing and deploying applications or workflows to drive business efficiency is a preferred qualification.
Understanding of IT landscapes and ability to solution evolutions from current to future state architectures.
Experience developing or supporting Financial or HCM applications, customisations, reports, workflow, BI, integration, analytics or being involved in implementations, upgrades or re-implementations is an added advantage.
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