Senior Manager AI & Smart Data

Overview

Senior Manager AI & Smart Data

Job Purpose

Responsibilities

• Collaborate with senior leadership to ensure data and AI initiatives drive measurable business outcomes.
• Actively engage in the execution of the AI and BI roadmap aligned with business goals.
• Manage the data and AI center of excellence.
• Develop data and AI-driven use cases.
• Actively participate in the development and deployment of AI models and data solutions.
• Lead the design and deployment of predictive and prescriptive analytics models.
• Drive data democratization by making insights accessible to business users.
• Clean, transform, and analyze structured and unstructured data. Perform feature engineering to improve model accuracy and ensure data quality for advanced analytics and AI application
• Oversee the implementation of self-service BI practice including platforms and data visualization tools.
• Oversee and engage in the development of AI and data models using Azure or other technologies.
• Ensure successful integration of AI models with existing systems and real-time data pipelines.
• Ensure continuous improvement of data platforms and AI models to align with evolving business needs.
• Evaluate and implement AI/ML frameworks, cloud-based data platforms, and automation tools.
• Partner with InsurTech firms and AI vendors to explore new opportunities.
• Ensure the scalability and security of AI and BI solutions.
• Define KPIs for AI and BI initiatives and track ROI.
• Optimize data pipelines and AI model performance through continuous monitoring.
• Excellent analytical skills, data presentation skills and data visualisation ability
• Stay abreast of the latest trends in AI, machine learning, and data engineering.
• Establish data and AI governance policies to ensure accuracy, data quality, security, compliance, and ethical AI practices.
• Collaborate with IT, data stewards, and business units to enhance data-driven culture.
• Drive the adoption of Responsible AI practices, ensuring transparency and accountability.
• Maintain a strong focus on ethical AI practices and compliance with UAE-specific regulations.

Requirements

• 12+ years in AI, data science, or business intelligence, with at least 5 years in a leadership role in insurance or financial services.
• Experience in data fabric and data mesh frameworks.
• Experience in delivering data and AI-driven business solutions
• Programming: Python, R, Java.
• Machine Learning & Deep Learning Frameworks: TensorFlow, PyTorch, Scikit-Learn, XGBoost, LightGBM.
• Large Language Models (LLMs) & NLP: Transformer models (GPT, BERT, T5, LLaMA), Named Entity Recognition (NER), Sentiment Analysis, OCR.
• MLOps & DevOps: Docker, Kubernetes, MLflow, Airflow, Kubeflow, CI/CD for AI pipelines.
• Extensive experience with Azure technologies, including Azure Data Factory and data bricks , Azure Synapse Analytics, Azure Data Lake, Azure SQL Database, Azure Machine Learning, and Azure Cognitive Services.
• Version Control & Collaboration Tools: Git, JIRA.

• Database & Data Engineering: SQL, NoSQL

• Strong knowledge of BI tools (Power BI, Qlikview, Qlik Sense) and SQL.
• Expertise in data modeling, MDM, and real-time analytics.
• Experience with data pipelines, ETL/ELT processes, and real-time data integration.
• Experience in data modelling and data monitoring tools
• Good Knowledge of data privacy, security, and AI ethics.
• Additional certifications or training in AI, Azure technologies, or data management such as: