Pre-Sales Techno Commercial Consultant
- Visionary Tech Services LLC
- Abu Dhabi - United Arab Emirates
- Contract
وصف الوظيفة
We are in search of an accomplished Pre-Sales Techno Commercial Consultant who possesses substantial expertise in Data Engineering, Machine Learning Operations (MLOps), Prototyping, and management consulting. The perfect candidate will integrate extensive technical proficiency with strategic business insight, facilitating effective client engagement, spearheading solution design, and boosting sales initiatives for intricate data and AI projects.
- Pre-Sales Engagement:
- Collaborate with sales teams to grasp client challenges, business objectives, and technical needs.
- Facilitate discovery and solution workshops with clients, utilizing top management consulting practices.
- Develop customized solutions centered around data pipelines, ML workflows, and deployment strategies.
- Solution Prototyping:
- Create swift prototypes and proof-of-concepts (PoCs) to showcase solution viability and business impact.
- Leverage prototyping tools and cloud platforms to dynamically present capabilities.
- Technical Presentations & Demos:
- Deliver engaging demos and technical presentations that resonate with both technical and executive clientele.
- Prepare reusable assets to streamline sales processes.
- Proposal & Documentation:
- Compose detailed technical proposals, architectural solutions, and commercial frameworks.
- Work cross-departmentally with delivery, finance, and engineering teams to ensure cohesive collaboration.
- MLOps and Data Infrastructure Advisory:
- Offer specialized advice on data engineering, model lifecycle management, CI/CD for ML models, monitoring, and retraining.
- Advocate for leading tools and platforms including Kubeflow, MLflow, Airflow, and various cloud services.
- Stakeholder & Client Management:
- Establish trusted advisor relationships with client executives and technical teams.
- Utilize management consulting background to lead strategic conversations and influence decisions.
Required Skills and Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Business, or a similar discipline.
- 5+ years of cumulative experience in management consulting and pre-sales/solution engineering, ideally in data/ML sectors.
- In-depth knowledge of data engineering, machine learning, and prototyping.
- Proficient 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, capable of conveying complex technical subjects in business terms.
- Documented history of managing both commercial and technical dimensions of complex sales funnels.
Preferred Qualifications:
- Experience with B2B SaaS or consulting services concentrated on data and AI.
- Relevant experience in finance, healthcare, manufacturing, or comparable industries.
- Applicable certifications like AWS Certified Machine Learning, Azure Data Engineer, or PMP.
إمتيازات الوظيفة
- 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.
متطلبات الوظيفة
- 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.
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.
