2 дня назад
Senior Solutions Consultant (AI/Data)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Solutions Consultant (AI/Data): Designing and presenting enterprise data unification solutions, architectures, demonstrations, and proof-of-concepts with an accent on AI-driven data management, customer requirements, and technical value communication. Focus on leading RFPs and RFIs, solving complex integration challenges, and advising technical stakeholders throughout enterprise software sales cycles.
Location: United Kingdom; travel to customer locations may be required.
Company
Cloud-native SaaS technology connects, unifies, and governs structured and unstructured data in real time to support enterprise AI and digital transformation.
What you will do
- Partner with Account Executives to identify opportunities and understand customer data challenges and business objectives.
- Develop and deliver customized product demonstrations, presentations, and proof-of-concept engagements.
- Design high-level solution architectures that address customer requirements and integrate with existing technology landscapes.
- Answer technical questions, manage objections, and advise technical stakeholders and decision-makers.
- Lead the technical aspects of RFPs and RFIs and contribute reusable sales assets and best practices.
- Share market feedback with Product Management and Engineering and support trade shows and webinars.
Requirements
- At least 3 years of experience in pre-sales, solutions consulting, or a similar customer-facing technical role in enterprise software.
- Understanding of enterprise data challenges, data integration, and data unification.
- Ability to explain complex technical concepts to technical and non-technical audiences.
- Strong presentation, written and verbal communication, interpersonal, problem-solving, strategic, and analytical skills.
- Experience with enterprise software sales cycles and methodologies.
- Bachelor’s degree in Computer Science, Information Technology, Engineering, Business, or a related field.
Nice to have
- Experience with SaaS solutions, cloud architectures, and data platforms.
- Familiarity with AI/ML concepts in data management or business intelligence.
- Hands-on experience with AWS, Google Cloud Platform, or Microsoft Azure.
- Knowledge of life sciences, healthcare, financial services, CPG, or retail industries.
- Experience with data modeling, ETL processes, or API integrations.
Culture & Benefits
- Flexible work arrangements supported by a distributed workforce.
- Customer-first, collaborative, knowledge-sharing culture.
- Opportunity to work on connected data, AI, and digital transformation technology.
- Participation in industry events, trade shows, and webinars.
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