Remote CRE Solutions Architect — AI-Driven Delivery Lead

TRIA

United States

Teletrabalho

USD 180 000 - 240 000

Tempo integral

há 21 horas
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Vantagens oferecidas por esta oferta de emprego

Fully remote working
Autonomy and influence
Backed by JLL and enterprise client

Resumo da oferta

JLL Asset Beacon seeks a Director of Solutions Architecture to lead end-to-end CRE technology delivery, acting as design authority across complex CRE implementations. This remote role prefers candidates in the East/Central US and offers autonomy within a global organisation.

You will translate business needs into scalable architectures, guide delivery from discovery to go-live, and collaborate with Product, Data and Engineering teams, while championing AI-first delivery.

Qualificações

  • 7+ years of experience in Solution Architecture, Enterprise Technology Delivery or Implementation Consulting with CRE knowledge across asset management, financial and leasing workflows.
  • Hands-on experience with CRE systems such as Yardi, MRI or VTS.
  • Strong understanding of ETL/ELT, data modelling and API integrations.
  • Experience leading cross-functional technical delivery teams.
  • AI-first mindset with practical experience using AI/LLM tools to improve design and delivery.

Responsabilidades

  • Owning solution design and technical architecture across complex CRE implementations.
  • Translating financial, operational and leasing requirements into scalable technical solutions.
  • Leading delivery pods, prioritising work across Data Engineers, Software Engineers and Data Analysts.

Conhecimentos

Solution Architecture
Enterprise Delivery
Client Engagement
AI/LLM in design

Ferramentas

Yardi
MRI
VTS

Descrição da oferta de emprego

JLL Asset Beacon seeks a Director of Solutions Architecture to lead end-to-end CRE technology delivery, acting as design authority across complex CRE implementations. This remote role prefers candidates in the East/Central US and offers autonomy within a global organisation.

You will translate business needs into scalable architectures, guide delivery from discovery to go-live, and collaborate with Product, Data and Engineering teams, while championing AI-first delivery.

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