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Pre Sales - Techno Commercial Consultant
Visionary Tech Services
Abu Dhabi
On-site
AED 120,000 - 200,000
Today
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Front Office Manager
Fairmont Hotels & Resorts
Dubai
On-site
AED 120,000 - 200,000
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Member Relations Executive (National Talent) – D/Quarters – TECOM Group – Dubai Holding Asset M[...]
Dubai Holding
Dubai
On-site
AED 120,000 - 200,000
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Sharmax Motorcycle LLC.
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AED 60,000 - 120,000
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AED 60,000 - 120,000
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AED 60,000 - 120,000
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AED 60,000 - 120,000
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Pre Sales - Techno Commercial Consultant
Visionary Tech Services
Abu Dhabi
On-site
AED 120,000 - 200,000
Full time
Today
Be an early applicant
Job summary
A leading technology consultancy in Abu Dhabi is seeking a Pre-Sales Techno Commercial Consultant to engage with clients and drive solution design for data and AI projects. Ideal candidates will have strong expertise in data engineering and machine learning operations, alongside management consulting experience. Join a forward-thinking team and enjoy competitive compensation along with growth opportunities.
Benefits
Competitive compensation
Growth and learning opportunities
Supportive environment promoting collaboration
Qualifications
- 5+ years of combined experience in management consulting and pre-sales/solution engineering, preferably in data/ML domains.
- Strong expertise in data engineering, machine learning, and prototyping.
- Exceptional communication and presentation skills.
Responsibilities
- Partner with sales teams to understand client challenges and design tailored solutions.
- Lead discovery and solutioning workshops with clients.
- Conduct compelling demos and technical presentations.
Skills
Data Engineering
Machine Learning Operations (MLOps)
Prototyping
Management Consulting
Communication
Education
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Business
Tools
AWS
Azure
Google Cloud
MLflow
Kubeflow
Airflow
Job description
We are seeking a highly skilled Pre-Sales Techno Commercial Consultant with strong expertise in Data Engineering, Machine Learning Operations (MLOps), Prototyping, and management consulting. The ideal candidate will combine deep technical knowledge with strategic business acumen, enabling effective engagement with clients, driving solution design, and supporting sales efforts for complex data and AI projects.
Requirements
Requirements
- Pre-Sales Engagement:
- Partner with sales teams to understand client challenges, business goals, and technical requirements
- Lead discovery and solutioning workshops with clients, leveraging management consulting best practices
- Design tailored solutions around data pipelines, ML workflows, and deployment strategies
- Solution Prototyping:
- Build rapid prototypes and proof-of-concepts (PoCs) to demonstrate solution feasibility and business value
- Utilize prototyping tools and cloud services to showcase capabilities dynamically
- Technical Presentations & Demos:
- Conduct compelling demos and technical presentations that resonate with both technical and executive audiences
- Prepare reusable assets for repeated use in sales cycles
- Proposal & Documentation:
- Draft detailed technical proposals, solution architectures, and commercial models
- Collaborate cross-functionally with delivery, finance, and engineering teams to ensure alignment
- MLOps and Data Infrastructure Advisory:
- Provide expert guidance on data engineering, model lifecycle management, CI/CD for ML models, monitoring, and retraining
- Recommend best-in-class tools and platforms such as Kubeflow, MLflow, Airflow, and cloud services
- Stakeholder & Client Management:
- Build trusted advisor relationships with client executives and technical teams
- Leverage management consulting experience to drive strategic discussions and influence decision-making
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Business, or related field
- 5+ years of combined experience in management consulting and pre-sales/solution engineering, preferably in data/ML domains
- Strong expertise in data engineering, machine learning, and prototyping
- Hands-on experience with:
- MLOps frameworks and tools: MLflow, Kubeflow, DVC, etc
- Cloud platforms: AWS, Azure, Google Cloud
- Data pipeline orchestration: Airflow, Kafka, Spark, etc
- DevOps/MLOps practices: CI/CD pipelines, containerization (Docker, Kubernetes)
- Exceptional communication and presentation skills, with an ability to translate complex technical concepts into business value
- Proven track record of managing commercial and technical aspects of complex sales cycles
- Experience in B2B SaaS or consulting engagements focused on data and AI
- Industry-specific exposure in finance, healthcare, manufacturing, or similar sectors
- Relevant certifications such as AWS Certified Machine Learning, Azure Data Engineer, or PMP
- Be part of a forward-thinking team shaping the future of data-driven decision-making
- Work across diverse industries solving real-world problems with innovative solutions
- Competitive compensation with growth and learning opportunities
- Supportive environment promoting collaboration and continuous improvement
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.
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