Data Transformation Lead

4 days ago


Abu Dhabi, Abu Dhabi, United Arab Emirates Elevon Core Full time

About Elevon Core

Elevon Core is a leading regional business with a strong presence in the Middle East, Asia, and Africa. We are a major player in the automotive industry, representing some of the world's most iconic brands.

Our core business activities include distribution, manufacturing, leasing, and aftersales. We are committed to delivering world-class omnichannel experiences to our customers, from motoring enthusiasts to fleet operators to contractors.

We have a team of over 9,000 members who are passionate about innovation, quality standards, and value-added service. Our mission is to become the leader in custom-made mobility solutions by delivering exceptional customer experiences.

About the Role

We are seeking an experienced Head of AI Strategy and Data Transformation to join our team at Elevon Core. This role is pivotal in driving our overall Data and AI Strategy and ensuring the adoption of data and AI use cases by business stakeholders across all lines of businesses.

Key Responsibilities

  • Drive the implementation of Data and AI Strategy and create a data-driven decision-making culture throughout the organization.
  • Establish strong relationships with senior leadership and business stakeholders to ensure smooth adoption of data and AI use cases into business processes.
  • Manage cross-functional teams of data scientists, data engineers, and business analysts to deliver strategic AI and data analytics projects across all lines of business.
  • Manage all data engineering, modeling, governance, and reporting initiatives for Elevon Core.
  • Achieve target business goals set together with the Chief Data Officer and evaluated against them regularly.

Requirements

  • 10 years of practical experience in delivering large-scale Data and AI Transformation projects for large corporations.
  • Consulting background with excellent problem-solving, presentation, communication, and managerial skills.
  • Background in Computer Science, Computer Engineering, Statistics, Data Engineering, Data Science, or Machine Learning.
  • Hands-on experience with SAP, Data Engineering, Feature Engineering, Data Modeling, ETL, Big Data, Data Architecture, Metadata Management, AI Change Management, Python, PySpark, SQL, and Deep Learning.


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