64 وظيفة Ai Data Scientists Cctv Analytics في Abu Dhabi

We are working with a global systems integrator helping organizations transform through modernization of applications, data, platforms, and operating models. They partner with major global enterprises to architect and deliver forward-looking digital solutions across cloud, SaaS, and hybrid environments, enabling innovation at scale.

Responsibilities

• Lead strategic consulting conversations, identifying transformation opportunities across application portfolios, data platforms, and AI/automation strategy.
• Lead strategic pre-sales engagements, guiding clients through enterprise application, data, and AI transformation. Design complex cloud-native architectures, influence senior stakeholders, and collaborate with client executives, delivery teams, and partners to shape and secure large-scale transformation programmes.
• Translate business and technology requirements into end-to-end solution architectures, including reference models, migration patterns, and capability roadmaps.
• Architect application modernization solutions including re-platforming, containerization, microservices, API enablement, and event-driven patterns.
• Design data and AI architectures including data lakes, MLOps frameworks, and analytics platforms leveraging Azure-native services.
• Integrate SaaS and enterprise systems (e.g., Oracle, CRM, ERP platforms), ensuring interoperability, governance, and security alignment.
• Develop solution proposals, RFP responses, estimates, and Statements of Work in collaboration with pursuit and delivery teams.
• Lead executive and technical workshops to shape strategic outcomes and drive solution direction.
• Apply enterprise architecture frameworks (TOGAF or equivalent) to ensure scalable, governed, and value-aligned solution design.
• Act as a trusted advisor from early engagement through deal closure, ensuring feasibility, clarity, and delivery confidence.

Experience

• Extensive across solution architecture, application modernization, or cloud transformation roles, ideally within global system integrators or large enterprise consulting environments.
• Proven delivery background before moving into pre-sales, able to demonstrate real-world implementation understanding.
• Strong experience designing application modernization and integration architectures, including APIs, containers, Kubernetes, and event-driven patterns.
• Experience with Azure application and data services, including PaaS, serverless, databases, analytics, and AI toolchains.
• Track record in complex SaaS/enterprise system integration, particularly Oracle, CRM/ERP, and industry platforms.
• Demonstrated success in shaping and winning large-scale transformation programs.
• Exceptional communication and stakeholder management skills, comfortable engaging both C-level stakeholders and senior technical audiences.
• Enterprise architecture certification (e.g., TOGAF) strongly preferred.
• Azure Solution Architect Expert or equivalent cloud certification advantageous.