Presales Consultant Cloud & Data

Intertec Systems; Dubai; On-site; AED 300,000 - 540,000; Full time

Job summary

Intertec Systems is seeking a Presales Consultant for Cloud, Data & AI to drive technical and commercial shaping of opportunities across UAE/GCC. You will lead end-to-end presales including solution design, PoCs, RFP/RFI responses, and coordinate with OEM partners like Microsoft, AWS, and OCI.

The role combines technical depth with alliance management and delivery oversight to ensure what is sold is delivered.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering
• Required: at least one associate-level or higher hyperscaler certification (e.g., AWS Solutions Architect, Azure Solutions Architect Expert / AI Engineer Associate)
• Preferred: AI-track certification (AWS AI Practitioner, Azure AI Engineer Associate) and Microsoft Fabric or data-platform credentials.

Responsibilities

• Lead end-to-end technical presales for cloud, data, and AI opportunities: discovery, solution design, architecture proposals, effort estimation inputs, and bid defence.
• Own and author responses to RFPs, RFIs, and RFQs—coordinating inputs from delivery, security, and OEM partner teams into a coherent, compliant, and differentiated bid.
• Design and run client PoCs across Microsoft Fabric, cloud migration, and AI/analytics workloads to de-risk client decisions and accelerate deal progression.
• Produce Well-Architected reviews, cloud security-posture assessments, and migration/modernization roadmaps as billable or pipeline-generating presales assets.
• Present and defend architectures to client stakeholders from engineering teams up to CIO/CTO level.
• Architect Microsoft Fabric unified data platforms (Lakehouse,OneLake, Data Engineering, Power BI), consolidating fragmented client data estates into governed, analytics- and AI-ready foundations.
• Design and position Generative AI solutions on Azure AI / Azure OpenAI / Microsoft Copilot and AWS Bedrock — leading use-case discovery workshops, reference architectures, and AI governance guardrails.
• Embed cybersecurity and zero-trust principles (IAM, CSPM, data governance, landing-zone security) into every proposed architecture.

Skills

Presales

Cloud computing

Data platforms

Solution design

Security

Education

Bachelor's degree in Computer Science, Information Technology, Engineering

Tools

Microsoft Fabric

Synapse/Databricks equivalents

Azure

AWS

OCI

Job description

Job Title: Presales Consultant Cloud & Data

Job Purpose: The Presales Consultant — Cloud, Data & AI owns the technical and commercial shaping of cloud, unified data, and AI opportunities across UAE/GCC enterprise accounts. This is a broader-than-title role: it combines classical technical presales (solution design, PoCs, RFP/RFI responses) with partner alliance management (Microsoft Solutions Partner program, AWS, OCI), deal-level commercial structuring using OEM funding programs, and hands-on delivery oversight and project management on won engagements. The consultant carries opportunities from qualification through architecture, commercial construction, and technical closure — and then stays accountable through delivery, acting as the continuity point between what was sold and what is delivered.

Qualification: Bachelor's degree in Computer Science, Information Technology, Engineering

Certification:

• Required: at least one associate-level or higher hyperscalercertification (e.g., AWS Solutions Architect, Azure Solutions Architect Expert / AI Engineer Associate).
• Preferred: AI-track certification (AWS AIPractitioner, Azure AI Engineer Associate) and Microsoft Fabric or data-platform credentials.

Experience: 9+ Year

Responsibilities:

• Lead end-to-end technical presales for cloud, data, and AI opportunities: discovery, solution design, architecture proposals, effort estimation inputs, and biddefence.
• Own and author responses to RFPs, RFIs, and RFQs — coordinating inputs from delivery, security, and OEM partner teams into a coherent, compliant, and differentiated bid.
• Design and run client proofs of concept (PoCs) across Microsoft Fabric, cloud migration, and AI/analytics workloads to de-risk client decisions and accelerate deal progression.
• Produce Well-Architected reviews, cloud security-posture assessments, and migration/modernization roadmaps as billable or pipeline-generating presales assets.
• Present and defend architectures to client stakeholders from engineering teams up to CIO/CTO level.
• Architect Microsoft Fabric unified data platforms (Lakehouse,OneLake, Data Engineering, Power BI),consolidatingfragmented client data estates into governed, analytics- and AI-ready foundations.
• Design and position Generative AI solutions on Azure AI / Azure OpenAI / Microsoft Copilot and AWS Bedrock — leading use-case discovery workshops, reference architectures, and AI governance guardrails.
• Embed cybersecurity and zero-trust principles (IAM, CSPM, data governance, landing-zone security) into every proposed architecture.

Partner Alliances & OEM Program Management

• Own the Microsoft partner relationship operationally: maintain and advance Solutions Partner designations (currently four of six — Infrastructure, Data & AI, Modern Work, Security) and advanced specializations (Azure Virtual Desktop achieved; Data & AI specialization in progress), including skilling plans, customer-success evidence, and audit readiness.
• Manage day-to-day engagement with Microsoft, AWS, and OCI partner development managers — co-sell registrations, partner-led opportunity sharing, and quarterly business reviews.
• Identifyand secure OEM incentives on live deals: MDF, co-op funds, partner-fundedPoCsand assessments, and migration/deployment funding (e.g., Azure Migrate & Modernize).
• Structure deal-level commercials: solution BoM, licensing constructs (CSP/EA), services pricing inputs, and OEM program overlays that improve competitiveness and lift gross margin.
• Advisesales leadership on win-strategy and pricing posture per opportunity, including where funded propositions can replace discount-led competition.

Delivery Oversight & Project Management

• Own the presales-to-delivery transition on won engagements: solution handover, scope baselining, statement-of-work alignment, and delivery kick-off — ensuring what was sold is what gets delivered.
• Act as project manager / delivery lead on selected client engagements: project planning, milestone and dependency tracking, RAID (risks, assumptions, issues, dependencies) management, and resource coordination across internal delivery, client teams, and OEM/vendor resources.
• Run client-facing project governance: steering-committee updates, status reporting, change-request management, and escalation handling through to acceptance and closure.
• Manage scope and commercial discipline during delivery —protecting dealgross margin against scope creep and converting change requests into commercially governed additions.
• Feed delivery learnings back into presales assets: estimation models, reference architectures, and reusable delivery collateral.

Demand Generation, Events & Evangelism

• Plan and deliver joint solution events and workshops with OEM partners (Microsoft, AWS) that generate qualified enterprisepipeline.
• Act as a technical evangelist for the practice: speaker-ready content, solution briefs, and first-call decks for the sales organization.
• Enable and mentor sales and inside-sales teams on cloud, data, and AI propositions and qualification criteria.

Mandatory:

• Hands-on solutioning depth on Microsoft Azure plusworking fluency across at least one otherhyperscaler(AWS and/orOCI); hybrid and multi-cloud patterns.
• Demonstrated data-platform design experience —Microsoft Fabric (or Synapse/Databricks equivalents) — and practical GenAIpositioning (Azure OpenAI, Copilot, Bedrock).
• Proven RFP/RFI ownership and PoC leadership onenterprise deals; ability to write as well as present.
• Working knowledge of Microsoft partner programmechanics (Solutions Partner designations, specializations, incentives) and OEMfunding programs (MDF, ECIF, migration funding).
• Security-aware architecture practice: zero-trust,IAM, CSPM, landing zones; able to engage credibly with client security teams.
• Demonstrated delivery oversight orproject-management experience on enterprise cloud/data engagements — projectplanning, governance, RAID management, and client-facing status reporting;formal PM credentials (PMP, PRINCE2, Agile/Scrum)anadvantage.
• Executive-level communication in English;consultative, non-adversarial engagement style suited to GCC enterpriseculture.

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