Pre Sales - Techno Commercial Consultant

Visionary Tech Services LLC; Abu Dhabi; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading tech company in Abu Dhabi is seeking a highly skilled Pre-Sales Techno Commercial Consultant to drive complex data and AI projects. The ideal candidate will have 5+ years of experience in management consulting and expertise in data engineering and machine learning. This role combines technical knowledge with strategic engagement to deliver tailored solutions for clients. Competitive compensation and growth opportunities await the right candidate.

Benefits

Competitive compensation

Work across diverse industries

Supportive environment

Qualifications

• 5+ years of combined experience in management consulting and pre-sales or solution engineering, preferably in data or machine learning domains.
• Strong expertise in designing data pipelines and ML workflows.
• Exceptional communication and presentation skills with ability to translate technical concepts into business value.

Responsibilities

• Partner with sales teams to understand client challenges and technical requirements.
• Lead discovery and solutioning workshops with clients.
• Design tailored solutions around data pipelines and ML workflows.

Skills

Data engineering

Machine Learning

Prototyping

Project management

Communication

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Business, or related field

Tools

AWS

Azure

Google Cloud

MLflow

Kubeflow

Docker

Kubernetes

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

• 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.
• 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.
• Conduct compelling demos and technical presentations that resonate with both technical and executive audiences.
• Prepare reusable assets for repeated use in sales cycles.
• Draft detailed technical proposals, solution architectures, and commercial models.
• Collaborate cross-functionally with delivery, finance, and engineering teams to ensure alignment.
• 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.
• Build trusted advisor relationships with client executives and technical teams.
• Leverage management consulting experience to drive strategic discussions and influence decision-making.

Required Skills and Qualifications

• 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.

Preferred Qualifications

• 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.

Benefits

• 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.