Senior Manager – AI and Smart Data

Confidential; Abu Dhabi Emirate; On-site; AED 120,000 - 180,000; Full time

Job summary

Join an established industry player in the insurance sector as a Director of AI and Data. This pivotal role involves leading the development and implementation of cutting-edge data management and analytics solutions, leveraging AI and machine learning to drive strategic decision-making. You will establish a robust data governance framework and oversee predictive analytics, ensuring that insights are accessible to business users. If you are passionate about data-driven innovation and have a proven track record in AI leadership, this opportunity offers a dynamic environment where your contributions will shape the future of the organization.

Qualifications

• 12+ years in AI and data science, with 5 years in leadership roles.
• Expertise in data governance and ethical AI practices.
• Strong knowledge of Azure technologies and BI tools.

Responsibilities

• Lead development of data management and AI solutions.
• Collaborate with leadership to drive AI initiatives.
• Manage a team of data engineers and scientists.

Skills

AI

Data Science

Business Intelligence

Machine Learning

Data Governance

Predictive Analytics

Data Quality

Data Visualization

Python

Java

R

Education

Bachelor's degree in Computer Science

Master's degree in Data Science

Tools

Azure Data Factory

Azure Synapse Analytics

Power BI

Git

JIRA

Job description

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Organization : Well Known Insurance Company in UAE.

JOB PURPOSE :

The job holder is responsible for leading the development and implementation of data management, analytics, AI, machine learning, and business intelligence (BI) solutions across the organization. This role focuses on establishing a strong data governance framework, enabling advanced analytics capabilities, and driving AI-driven insights to support strategic decision-making. The individual will oversee predictive analytics, data quality, master data management, and BI platforms, ensuring alignment with the company’s AI and data transformation strategy.

KEY RESPONSIBILITIES & ACCOUNTABILITIES :

Strategic Contribution :

• 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.

Technical Leadership :

• 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 visualization ability.
• Stay abreast of the latest trends in AI, machine learning, and data engineering.

Team and Stakeholders Management :

• Engages in strategic discussions and provides recommendations based upon work analysis with quantified opportunities to drive business optimization. Synthesizes results, drive conclusions, make recommendations to senior management, and implements changes.
• Lead, mentor, and inspire a team of data engineers, scientists, and AI professionals.
• Manage day-to-day activities of the AI and Data teams, ensuring effective resource allocation.
• Work closely with business units to identify AI and data use cases with high business impact.
• Collaborate with cross-functional teams to define requirements and drive AI-driven solutions.
• Act as a liaison between technical and business teams to ensure alignment and understanding.

AI and Data Governance :

• 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.

PEOPLE MANAGEMENT RESPONSIBILITIES

Manages the effective achievement of unit / department objectives through setting individual and / or team objectives, managing performance, developing employees and providing formal and informal feedback in order to maximize overall performance and team motivation.

QUALIFICATIONS :

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

RELEVANT CERTIFICATIONS :

Additional certifications or training in AI, Azure technologies, or data management such as :

• Certified Data Scientist (CDS)

YEARS & NATURE OF EXPERIENCE :

• 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.
• Large Language Models (LLMs) & NLP : Transformer models (GPT, BERT, T5, LLaMA), Named Entity Recognition (NER), Sentiment Analysis, OCR.
• 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.
• 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.

LANGUAGE REQUIREMENTS :

Full Professional Proficiency of English Language

Seniority level

Director

Employment type

Full-time

Job function

Information Technology

Insurance, Banking, and Financial Services