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D&T Head of Data, BI & Analytics

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Aramex

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IT - Administration

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Job Description:

The Head of Data Sciences, Analytics, AI, and BI is a senior strategic and operational leader within Aramex’s Digital & Technology organization. This role spans thought leadership, strategic planning, capability building and operational excellence across the BI, analytics and AI landscape. This role balances innovation, project delivery and steady-state operations, ensuring the end-to-end reliability, scalability, and operational performance of Aramex’s analytics platforms.

Job Responsibility:

  • Develop and communicate a long-term vision and strategy for Data Sciences, Analytics, AI, and BI, aligned with Aramex’s business strategy and growth objectives.
  • Drive innovation in analytics and AI, exploring emerging technologies, algorithms and methodologies to enhance business decision-making and operational efficiency.
  • Proactively engage business stakeholders to understand complex requirements, desired outcomes, and strategic priorities.
  • Design and deliver fit-for-purpose analytics and AI solutions that optimize operations, improve customer satisfaction, and drive revenue.
  • Use insights from customer feedback, usage analytics, and emerging trends to identify continuous improvement opportunities.
  • Own end to end operations of enterprise analytics platforms, including GCP-based ecosystems (BigQuery, Dataflow, Pub/Sub, Looker) and legacy BI systems (SQL Server, Oracle BI, ETL pipelines).
  • Ensure platform stability, performance, security and compliance through robust ITIL-aligned processes (incident, problem, change, release management).
  • Define and maintain SLAs, SLOs, and operational KPIs for uptime, pipeline reliability, cost efficiency, and user satisfaction.
  • Lead post-project operationalization, including service acceptance, monitoring, and continuous improvement loops.
  • Lead and mentor a high performing team of data scientists, AI engineers, BI analysts, and data operations engineers.
  • Build organizational capability in analytics, AI, and data engineering, fostering a culture of innovation, accountability, and continuous learning.
  • Establish team KPIs for operational performance, service quality, and business impact.
  • Oversee demand intake, prioritization and resource allocation for analytics and AI projects and BAU operations.
  • Ensure successful Build to Run transitions, including operational readiness reviews, documentation, monitoring, access controls, and training.
  • Balance project delivery with steady-state operations, ensuring responsiveness to unplanned business demands while maintaining service stability.
  • Partner with Program and Platform leadership to drive operational readiness, post go-live support, and continuous improvement.
  • Develop and manage functional budgets aligned with corporate IT and finance guidelines.
  • Identify revenue generating opportunities through data monetization or analytics-as-a-service offerings.
  • Optimize resource allocation and operational costs to maximize ROI on analytics and AI initiatives.
  • Manage strategic relationships with vendors and managed service providers, ensuring SLA compliance, cost-effectiveness, and alignment with business priorities.

Requirements:

  • Leadership Behaviors: Collaborate & break silos
  • Execution & Accountability
  • Growth mindset
  • Innovation

Additional Information:

Job Posted:
December 19, 2025

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