About Insight
Insight is a Fortune 500 global provider of hardware, software, cloud, and services, empowering businesses to accelerate innovation and thrive in a rapidly evolving digital landscape. Our expertise spans cloud, data, AI, security, and modern workplace solutions, guiding organizations from strategy through execution.
Role Overview
We are seeking a Senior Presales Consultant – Cloud Data & AI who will work alongside enterprise clients to define, design, and position transformative cloud solutions that unlock the potential of data and artificial intelligence.
In this role, you will engage early in the sales process, leading discovery efforts, structuring innovative architectures, and driving strategic conversations that align business outcomes with technical vision.
Working across cloud ecosystems—Microsoft Azure, AWS, and Google Cloud Platform—you will be responsible for creating compelling, scalable, and intelligent data and AI solutions that accelerate digital transformation.
While extensive expertise across multiple platforms is highly valued, we also welcome candidates with strong, demonstrable experience in specific areas and the willingness to build broader multicloud proficiency.
Key Responsibilities
* Client Discovery & Solution Shaping
* Engage with stakeholders to uncover business challenges, technical needs, and strategic goals, translating them into actionable solution strategies.
* Architecture Design
* Design cloud-native data platforms, AI applications, and advanced analytics ecosystems, balancing innovation, security, scalability, and cost efficiency.
* Business Value Communication
* Present and articulate how proposed solutions will deliver tangible business benefits, from operational optimization to data-driven decision-making.
* Presales Support
* Develop solution briefs, Statements of Work (SOWs), technical proposals, and business case presentations tailored to client priorities.
* Demonstrations & Prototyping
* Lead workshops, demonstrations, and proofs of concept showcasing the real-world impact of technologies such as Azure OpenAI, Databricks, SageMaker, and Vertex AI.
* Thought Leadership
* Actively promote best practices and emerging trends in data modernization, predictive analytics, AI, and cloud-native architectures.
Skills and Expertise
Success in this role may be demonstrated through experience in several of the following areas.
Candidates are not expected to cover all domains fully but should be able to show strong capability in their core areas:
Cloud Data Platforms
* Azure Synapse Analytics, Microsoft Fabric, Azure Data Lake, Azure SQL
* Amazon Redshift, AWS Athena, AWS Glue
* Google BigQuery, Google Cloud Storage, Dataproc
Artificial Intelligence & Machine Learning
* Azure OpenAI, Azure Machine Learning Studio, Azure AI Foundry
* AWS SageMaker, Amazon Bedrock
* Google Vertex AI, TensorFlow, scikit-learn, Hugging Face
Data Engineering & Big Data
* Azure Data Factory, Azure Databricks, Apache Spark, Delta Lake
* AWS Glue ETL, AWS EMR
* Google Dataflow, Apache Beam
Business Intelligence & Analytics
* Power BI, Amazon QuickSight, Looker Studio
* Embedded analytics and interactive dashboarding solutions
Cloud Architecture
* Azure App Services, Virtual Machines, Functions, Kubernetes
* AWS EC2, Lambda, EKS, S3
* Google Compute Engine, GKE, Cloud Run
Data Security & Governance
* Microsoft Purview, Azure Active Directory (Entra ID)
* AWS Identity and Access Management (IAM)
* Google Data Loss Prevention (DLP)
Candidates who have developed expertise in one or more of these categories—and who demonstrate curiosity, adaptability, and a drive to deepen their knowledge across platforms—will find this role highly rewarding.
Preferred Certifications
Holding certifications in relevant areas, such as Microsoft Azure, AWS, or Google Cloud, will be considered a strong advantage.
We value candidates who have pursued or are pursuing certifications like:
* Azure Solutions Architect Expert, Enterprise Data Analyst Associate
* AWS Certified Data Analytics – Specialty, Machine Learning – Specialty
* Google Cloud Professional Data Engineer, Professional Machine Learning Engineer
* Databricks Certified Data Engineer (Associate or Professional)
Foundational certifications such as Azure Fundamentals, AWS Cloud Practitioner, or GCP Digital Leader are also highly regarded, as they demonstrate a strong baseline commitment to cloud proficiency.
Requirements
* 5+ years of experience designing, proposing, or delivering cloud-based data and AI solutions, ideally across multiple cloud providers.
* Strong communication skills and the ability to convey complex technical concepts to both business and technical audiences.
* Hands-on experience supporting enterprise solution sales cycles, including opportunity qualification, proposal development, and executive presentations.
* A solid understanding of key business cases like predictive forecasting, dynamic pricing, inventory optimization, and AI-driven decision support.
* Fluency in English and Spanish is required for this role.
While we look for robust technical and consulting skills, we also highly value adaptability, strategic thinking, and a client-centric approach that places business outcomes at the heart of every engagement.
Why Join Us?
Joining Insight means being part of a global leader that empowers innovation at scale.
You will work on some of the most exciting data and AI transformation projects, influencing the strategies of leading organizations across industries.
If you are passionate about technology, driven by outcomes, and thrive in collaborative, fast-paced environments, we invite you to explore the impact you can create with us.