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Data & AI Specialist

Job in ‘Askar, Southern Governorate, Bahrain
Listing for: Fives
Full Time position
Listed on 2026-09-20
Job specializations:
  • IT/Tech
    Business Intelligence, AI Business & Operations, Data Analyst, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 18000 - 36000 BHD Yearly BHD 18000.00 36000.00 YEAR
Job Description & How to Apply Below
Location: ‘Askar

Fives Services Gulf is actively seeking a Data & AI Specialist to join its teams in Bahrain. At Fives, we are all driven by a common calling, to prove that industry can do it
! We work together daily to make industry an answer to all of the major technological, environmental, social and economic challenges of our time.

Job Content

It is with you, that industry can do it! We are currently seeking a Data & AI Specialist to establish and enhance the organization’s data and AI capabilities by improving data governance, data quality, analytics, enterprise data architecture, and business process optimization. The role will leverage Microsoft Fabric as the central data platform to enable data-driven decision-making, support digital transformation initiatives, and build the foundation for future Artificial Intelligence, Microsoft Copilot, Generative AI, and Agentic AI solutions across the business.

KEY

ACCOUNTABILITIES & RESPONSIBILITIES

The Data & AI Specialist is responsible for assessing, organizing, governing, and optimizing enterprise data assets to maximize business value and support informed decision-making. Working closely with business and technology teams, the role helps establish a modern data culture by improving data quality, enabling advanced analytics, and preparing the organization for the effective adoption of AI technologies, including Microsoft Copilot and Agentic AI solutions.

Data

Strategy & Governance
  • Assess existing data sources, business processes, systems, and reporting capabilities across the organization.
  • Develop and maintain a roadmap for data modernization, governance, analytics, and AI readiness.
  • Establish data governance frameworks, policies, standards, and best practices for data management and ownership.
  • Improve data quality, consistency, reliability, accessibility, and security across enterprise systems.
  • Define data ownership, stewardship, classification, lifecycle management, and compliance requirements.
  • Identify data gaps, reporting limitations, and process inefficiencies, and recommend roadmap initiatives to improve business performance and operational effectiveness.
  • Promote data-driven decision-making and improve organizational data maturity.
Data Platform & Microsoft Fabric
  • Lead and support the adoption of Microsoft Fabric as the organization's enterprise data platform.
  • Design and optimize Microsoft Fabric environments, including One Lake, Lakehouse Architecture, Data Factory, Data Warehouse, and Real-Time Analytics.
  • Develop and maintain scalable data integration, transformation, and reporting solutions.
  • Consolidate and organize enterprise data sources into a centralized and governed data platform.
  • Establish enterprise data models and structures that support analytics, reporting, and future AI initiatives.
  • Ensure data platforms remain secure, scalable, reliable, and aligned with business objectives.
Analytics & Decision Support
  • Analyze organizational data to identify trends, opportunities, risks, and areas for improvement.
  • Collaborate with stakeholders to define KPIs, metrics, and reporting requirements.
  • Develop and maintain Power BI dashboards, executive scorecards, and self-service analytics solutions.
  • Translate data into actionable insights that support operational, financial, and strategic decision-making.
  • Recommend process improvements and optimization opportunities based on data analysis.
Artificial Intelligence & Copilot Solutions
  • Design, develop, and maintain strategic Microsoft Copilot and Copilot Studio solutions that support business objectives, automate workflows, improve decision-making, and enhance operational efficiency across the organization.
  • Identify opportunities to leverage Artificial Intelligence, Microsoft Copilot, and Copilot Studio across departments.
  • Analyze business processes and operational pain points and recommend AI-driven solutions that improve decision-making, productivity, process efficiency, and business performance.
  • Establish and maintain a roadmap for enterprise AI and Microsoft Copilot adoption, ensuring alignment with business priorities and digital transformation initiatives.
  • Evaluate organizational readiness for Generative AI, Agentic AI, and AI-powered business solutions.
  • Gather business requirements and assess AI use cases that deliver measurable business value.
  • Design, develop, deploy, and support AI-powered solutions using Microsoft Copilot, Copilot Studio, Microsoft Fabric, Power Platform, and related technologies.
  • Evaluate and implement solutions leveraging Large Language…
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