Senior Manager - Enterprise Applications, AI & Automation

About the role

Al Ghurair Investment is accelerating the adoption of Generative AI, agentic automation and advanced analytics across its enterprise application landscape (ERP, Oracle, Salesforce, CRM and Power platforms). As Senior Manager, you will design, develop and deploy end-to-end automations using machine learning and AI solutions that improve operational efficiency, decision intelligence and user experience across Group business units, working in an agile, iterative manner and partnering closely with business teams.

Key responsibilities

• Define and drive the AI / agentic automation roadmap for enterprise applications, aligned with the Group's digital transformation strategy.
• Identify high-impact use cases across business functions and partner with business and IT leadership to prioritize initiatives by ROI, feasibility and strategic fit.
• Evaluate emerging AI/ML frameworks and tools (LLMs, RAG, vector databases, low-code AI orchestration) and establish governance for responsible AI, model risk management and data privacy.
• Work with vendors and partners to integrate AI/automation solutions with D365, Oracle, Salesforce and other enterprise systems.
• Design, build and deploy agentic AI workflows, chatbots and automation pipelines, and develop and productionize ML/AI models (classification, forecasting, NLP, recommendation, RAG-based Q&A).
• Work with the Data CoE on dashboards and analytics (e.g. Power BI) and manage end-to-end project delivery, including CRP, SIT, UAT and post-go-live support.
• Mentor data scientists, AI engineers and citizen developers, manage vendor and consultant relationships, and act as an internal evangelist for AI and automation.
• Own the roadmap for internally built products, set reusable frameworks and accelerators, and track and report the business impact of deployed solutions.

Required profile

• Bachelor's or master's degree in Computer Science, Data Science, Statistics, Engineering or a related quantitative field.
• 6-8+ years of progressive experience in data science, AI/ML engineering or enterprise automation, including at least 2-3 years focused on generative AI / agentic AI in production.
• Proven track record of designing, developing and deploying end-to-end ML/AI solutions across multiple business domains.
• Experience in a matrixed, multi-business-unit organization, ideally within a large group.
• Preferred: certifications in AI/ML, cloud platforms (Azure / AWS / GCP) or enterprise automation platforms (Microsoft Power Platform, UiPath).

Required skills

• Programming: Python, PySpark, SQL, R.
• Machine learning and deep learning: XGBoost, Scikit-learn, TensorFlow, PyTorch, NLP, computer vision, recommendation systems.
• Generative AI: prompt engineering, RAG, LLM orchestration (LangChain, Semantic Kernel or similar).
• MLOps: MLflow, Databricks, model monitoring and retraining pipelines.
• Cloud platforms: Azure (preferred), AWS or GCP.
• Familiarity with enterprise application integration and automation platforms such as Power Automate or UiPath.