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Senior Cloud Solutions Expert
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We are seeking a highly motivated Solution Architect to focus on services that support Pre-Sales activity and drive growth in the Americas.
The ideal candidate will have experience in IT services business, be able to resolve complex problems, and design appealing solutions for customers.
Main Responsibilities:
- Interact with different sales areas to help design solutions according to customer requirements.
- Work directly with customers and stakeholders to gather requirements and provide service/solution recommendations.
- Lead solution and pricing reviews with leadership and transition projects from pre-sales to delivery.
Key Requirements:
- Bachelor's degree in an engineering discipline or equivalent experience.
- At least 5 years of experience in IT operations, services, or consulting.
- Advanced understanding of cloud-based services and products.
- Intermediate to advanced knowledge of cloud costing models.
- Fluent in English.
Preferred Qualifications:
- Master's Degree in an engineering discipline.
- At least 10 years of experience in IT operations, services, or consulting.
- At least 3 years of experience in understanding of Services business model or services leadership.
Additional Information:
- Excellent teamwork skills.
- Strong client-facing verbal and written communication and presentation skills.
- Ability to excel in a matrix organization.
- Strong track record of self-motivated and innovative response to changing business needs.
- Strong organization skills to maintain an updated pipeline in CRM systems.
Skill Set Required:
- Excellent understanding of customer needs and sales stakeholders.
- Hands-on experience delivering services/support on cloud solutions.
- Knowledge of cloud solution design, architecture, migration, and cost optimization.
- Experience with cloud storage features and migration.
- Knowledge of distributed storage solutions.
- Excellent communication and interpersonal skills.
- Experience in technical solutioning and selling roles.
- Knowledge of business models such as OPEX / CAPEX.
- Knowledge of AI solution scoping and understanding, including ML and DL expertise.
- Knowledge of Data Science and Data Engineering.
- Understanding of AI Security, Governance, and policy.
