Enterprise Architect

WorkdayUsa, NY
1dHybrid

About The Position

As an Enterprise Architect you will play a crucial role in driving the adoption of our AI-enabled solutions. You will act as a trusted advisor to prospective buyers, understanding their business challenges and demonstrating how Workday AI solutions deliver value.

Requirements

  • 2+ years of experience applying AI as a business solution with concepts such as Agents, LLMs, machine learning and natural language processing.
  • 3+ years professional experience in an Information Technology-related field.
  • 1+ years of experience in a role that includes delivering compelling presentations in person and online meetings.
  • Solid understanding of cloud architecture, data security, reporting, and integration standards.
  • Strong value selling skills, with the ability to understand customer needs, effectively communicate value propositions, and build strong relationships to drive customer satisfaction, retention, and revenue growth.
  • Proven objection handling skills, with the ability to address customer concerns effectively and persuasively to improve satisfaction and drive sales conversion.
  • Strong product demonstration skills, with the ability to effectively showcase product features and benefits through engaging presentations and interactive demonstrations.

Nice To Haves

  • Knowledge of Workday application and technical architecture is helpful.
  • Experience with Human Capital Management or Financial applications is preferred.
  • Industry experience in State & Local or Higher Education preferred but not required.

Responsibilities

  • Translating technical concepts: You'll communicate how Workday's AI-powered solution delivers value-driven business results!
  • Crafting compelling narratives: You'll develop and deliver impactful presentations and product demonstrations that showcase Workday's technology.
  • Solution Architecture: Develop and present comprehensive solutions for demonstration that incorporate AI (Agents, Generative, LLM, etc.), integration methodologies, reporting and analytics.
  • Leading Voice: Staying informed about AI and technology advancements and contribute as a subject matter expert to initiatives such as webinars.
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