Senior Manager AI Products

Overview

The AI Product & Use Case Lead serves as the internal product manager of the AI Hub, overseeing the entire pipeline of AI use cases from initial concept and business case formulation through prioritization, implementation, and post-launch evaluation. This role acts as a pivotal connection between the business units and the AI Hub team, ensuring every AI initiative delivers tangible business value and is feasible within existing data and technology limitations. The position focuses particularly on agentic self-service solutions, conversational AI agents, intelligent workflow automation, and AI-enhanced customer journeys, which are integral to Ooredoo's AI vision.

Working closely with stakeholders across business units, the Lead collects detailed requirements, validates results, and maintains clear visibility of AI return on investment across the project portfolio.

Business Unit Context

The AI & Data Governance team is responsible for establishing and enforcing data governance frameworks and AI strategies to uphold data integrity, security, and compliance, while fostering innovation and operational efficiency at Ooredoo. This team also manages AI initiatives and proof of concepts, monitors data-related projects, and collaborates across functions to guarantee timely execution and value delivery.

Role Responsibilities & Expertise

• Serve as product leader for AI Hub initiatives, managing the end-to-end life cycle of AI use cases.
• Collaborate with business stakeholders to gather requirements and ensure AI solutions solve real business problems.
• Develop and present robust business cases for AI and technology investments to senior executives.
• Manage and prioritize AI and digital product roadmaps within cross-functional teams.
• Maintain strong understanding of conversational AI platforms and intelligent automation concepts to engage effectively with technical teams.
• Implement use case prioritization methods such as RICE and define KPIs for digital and AI products.
• Apply agile project delivery practices using tools like Jira, Confluence, or Azure DevOps.
• Ensure awareness and management of challenges related to large language models including prompt engineering, hallucination risks, and data privacy aspects.

Qualifications & Experience

• At least 10 years of experience in roles involving product management, business analysis, or leadership in AI/digital transformation initiatives.
• Proven experience in building compelling business cases and communicating at senior leadership levels.
• Hands-on experience with conversational AI platforms such as Microsoft Copilot Studio, Google Dialogflow, Salesforce Einstein, or equivalents.
• Strong background in telecommunications, financial services, or other complex enterprise sectors.
• Bachelor's degree in Computer Science, Engineering, or related discipline.