обновлено 5 дней назад
Pre-Sales Solutioner - Data (Data & AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Pre-Sales Solutioner - Data (Data & AI): Designing end-to-end data architectures and presenting customized Data & AI proposals that address client challenges and deliver measurable business outcomes with an accent on modern data ecosystems, scalability, security, and governance. Focus on translating business requirements into data-driven solutions, leading discovery workshops and technical discussions, and transitioning feasible solutions to delivery teams.
Company
Technology services organization focused on technology, entrepreneurial collaboration, continuous learning, and Data & AI transformation.
What you will do
- Collaborate with sales teams to assess client business challenges, data maturity, and suitable Data & AI solutions.
- Design end-to-end data architectures using established methodologies and emerging technologies.
- Scope, draft, and present customized technical and business proposals focused on measurable business outcomes.
- Support sales cycles through client presentations, discovery workshops, solution demonstrations, technical discussions, and proposal defense.
- Advise clients on scalable, secure, governed data foundations that enable AI adoption and compliance.
- Develop the Data & AI service portfolio and coordinate with delivery teams, data architects, and subject matter experts on project transitions.
Requirements
- University degree in Information Technology or a related field.
- 10+ years of experience, including significant experience in Data, Analytics, or Business Intelligence.
- At least 3 years of experience in pre-sales, solution consulting, or solution architecture.
- Strong understanding of modern data architectures and ecosystems.
- Ability to translate business requirements into data-driven solutions with tangible business value.
- Fluency in French and English is required. Strong client-facing, communication, presentation, negotiation, and stakeholder-management skills are also required.
Culture & Benefits
- Inclusive environment focused on belonging, diversity, and collaboration.
- Flexibility in when and where work is performed, agreed with managers to support work-life balance and empowerment.
- Free access to digital learning resources and curated programs for technical and soft-skill development.
- Learning content includes resources from Harvard Business Review, Coursera, Pluralsight, Udemy, Microsoft, AWS, Google, and other partners.
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