обновлено 10 дней назад
PreSales Consultant Data & AI (Microsoft Azure)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
PreSales Consultant Data & AI (Microsoft Azure): Designing end-to-end data and artificial intelligence solutions for customer business challenges with an accent on Azure, Microsoft Fabric, Azure AI, Azure OpenAI, Copilot, and analytics platforms. Focus on leading discovery workshops, technical demonstrations, proofs of concept, and customer-focused solution proposals while addressing governance, security, and compliance.
Location: Hybrid in Guaynabo, Puerto Rico
Company
is a global provider of software and cloud solutions operating in more than 70 countries with over 12,000 professionals.
What you will do
- Partner with sales teams and customers to understand business needs and define data and AI strategies.
- Lead discovery sessions, workshops, technical demonstrations, and proofs of concept.
- Design end-to-end solutions using Microsoft Azure, Microsoft Fabric, Azure AI, Azure OpenAI, Copilot, and analytics platforms.
- Prepare proposals, statements of work, technical presentations, and recommendations aligned with customer objectives.
- Collaborate with technical teams, sales teams, and strategic partners to validate solution feasibility and delivery success.
Requirements
- Experience in presales, technology consulting, solution architecture, or a similar Data & AI-focused role.
- Hands-on experience with Azure, Microsoft Fabric, Azure AI, Azure OpenAI, Copilot, Power BI, SQL, data lakes, and data warehouses.
- Ability to design end-to-end data and AI architectures with governance, security, and compliance requirements in mind.
- Experience leading workshops, technical demonstrations, proofs of concept, and customer-focused proposals.
- Strong consultative communication, analytical thinking, collaboration, and stakeholder management skills in multicultural environments.
- Intermediate to advanced English proficiency is desirable.
Culture & Benefits
- Health and well-being benefits.
- Continuous learning and career development opportunities.
- Performance-based incentives and employee share participation.
- Flexible and hybrid work models.
- Participation in global projects and a collaborative international environment.
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