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AI Product Owner.Injaz - Artificial Intelligence.MIT

Mashreq, UAEYesterdayMid-Senior
Mid-Seniorfulltime

About This Role

Product Strategy & Roadmap

  • Define the vision, strategy, and roadmap for AI products in alignment with organizational goals.
  • Translate business needs into AI product requirements and prioritize features based on value and feasibility.
  • Continuously assess market trends, customer feedback, and emerging AI technologies to inform product evolution.

Backlog Management & Delivery

  • Own and manage the product backlog, ensuring clarity, prioritization, and alignment with sprint goals.
  • Collaborate with engineering and data science teams to ensure timely delivery of high-quality AI features.
  • Define acceptance criteria and validate deliverables against business objectives.

Stakeholder Engagement

  • Act as the primary point of contact for business stakeholders, ensuring alignment on priorities and expectations.
  • Communicate product vision, progress, and outcomes to executives and cross-functional teams.
  • Facilitate workshops and demos to gather feedback and drive adoption.

Governance & Compliance

  • Ensure AI products comply with internal governance frameworks, regulatory requirements, and responsible AI principles.
  • Partner with AI Governance, Risk, and Security teams to embed controls for fairness, transparency, and explainability.

Performance & Value Realization

  • Define KPIs and success metrics for AI products; monitor performance and adoption.
  • Drive continuous improvement through data-driven insights and user feedback.

Education

  • Bachelor’s degree in Business, Computer Science, Data Analytics, or related field (MBA preferred).
  • Preferred experience:
  • 8+ years in product management, with at least 3 years in AI/ML or data-driven products, or
  • Management consulting background with experience in strategy, operating models, and transformation programs, or
  • Startup experience in AI or emerging tech, demonstrating agility and innovation mindset.

& Expertise

  • Strong understanding of AI/ML concepts, model lifecycle, and data platforms.
  • Experience with Agile methodologies, backlog management tools (e.g., Jira, Azure DevOps).
  • Familiarity with AI governance, compliance, and ethical AI practices.
  • Soft Skills: Excellent communication, stakeholder management, and ability to translate technical concepts into business value.

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