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Lead AI & Data Product Manager

Unlock employer Dubai, United Arab Emirates Posted: 19 Jul 2024

Financial

  • Estimate: $130k - $180k*
  • Zero income tax location

Accessibility

  • Hybrid
  • Visa Provided

Requirements

  • Experience: Senior

Position

Company:
Our client is a leading fintech company located in the vibrant city of Dubai. They are at the forefront of innovation in financial technology, leveraging AI and data-driven insights to revolutionize the way individuals and businesses manage their finances.

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Position Overview:
Seeking a highly skilled Lead AI & Data Product Manager to join our client’s dynamic team. In this role, you will spearhead the development of AI-powered solutions that enhance our platform’s capabilities and user experience. This is a unique opportunity to lead a talented team and drive innovation in one of the fastest-growing sectors in Dubai’s financial industry.

Key Responsibilities:

  • Define and execute the product roadmap for AI and data initiatives, ensuring alignment with strategic objectives.
  • Lead a cross-functional team of product managers, data scientists, and engineers to deliver impactful AI-driven features and products.
  • Collaborate closely with stakeholders to understand business requirements and translate them into technical solutions.
  • Champion data-driven decision-making processes throughout the product lifecycle.
  • Stay informed about industry trends and emerging technologies to maintain our competitive edge.

Requirements:

  • 5+ years of experience in product management within fintech or related industries, with a focus on AI, machine learning, or data-driven products.
  • Proven track record of successfully launching and scaling AI-driven products in a fast-paced environment.
  • Strong leadership skills with experience managing and mentoring teams.
  • Technical background with a solid understanding of AI/ML concepts and their application in product development.
  • Excellent communication and stakeholder management skills.
  • Bachelor’s degree in Computer Science, Engineering, Business Administration, or a related field; advanced degree preferred.
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