# Job Description: AI Product & Business Translation Lead Job Title: AI Product & Business Translation Lead Experience: 9–12+ Years Location: Riyadh - Onsite Employment Type: Full-Time ## Job Overview We are seeking an experienced AI Product & Business Translation Lead with 9–12+ years of experience to bridge the gap between business objectives, product strategy, and artificial intelligence capabilities. The ideal candidate will have strong expertise in defining AI use cases, developing AI-driven product strategies, engaging executive stakeholders, and driving successful adoption of AI solutions across organizations. This role requires a strong understanding of business transformation, AI capabilities, product lifecycle management, and the ability to translate complex AI concepts into measurable business outcomes. ## Key Responsibilities - Define and prioritize AI use cases aligned with business objectives and strategic goals. - Develop AI product strategies, roadmaps, and adoption frameworks. - Collaborate with business leaders, product teams, data scientists, and engineering teams to identify AI opportunities. - Translate business requirements into actionable AI solutions and product initiatives. - Evaluate AI opportunities based on business value, feasibility, scalability, and impact. - Drive stakeholder engagement across business and technology teams. - Support AI adoption initiatives by creating awareness, enablement plans, and change management strategies. - Define success metrics and KPIs for AI product initiatives. - Facilitate communication between technical teams and business stakeholders. - Support governance, prioritization, and lifecycle management of AI solutions. - Identify industry trends and emerging AI capabilities to recommend strategic opportunities. ## Required Technical & Business Skills ### AI Use Case Strategy - Strong experience in AI use case definition and identification of business opportunities for AI adoption. - Ability to evaluate AI feasibility, business impact, and implementation roadmap. - Experience translating AI capabilities into practical business solutions. ### Product Strategy & Management - Strong experience in AI product strategy and roadmap development. - Experience defining product vision, priorities, success metrics, and adoption strategies. - Understanding of product lifecycle management and digital transformation initiatives. ### Stakeholder Engagement - Proven experience managing stakeholder engagement across business, technology, and executive teams. - Ability to communicate complex AI concepts to technical and non-technical audiences. - Experience facilitating workshops, discovery sessions, and executive discussions. ### AI Adoption & Change Enablement - Experience driving AI adoption across organizations. - Ability to develop adoption frameworks, training strategies, and business enablement plans. - Understanding of organizational change management principles. ## Qualifications - Bachelor's degree in Computer Science, Business Administration, Artificial Intelligence, Information Systems, or a related field. - 9–12+ years of experience in AI product management, digital transformation, business strategy, technology consulting, or related roles. - Strong understanding of AI/ML concepts and enterprise AI adoption challenges. - Excellent leadership, communication, and stakeholder management skills. - Proven ability to manage cross-functional initiatives and deliver business outcomes. ## Preferred Skills - Experience working with Generative AI, Large Language Models (LLMs), and AI-powered products. - Exposure to cloud AI platforms such as AWS, Azure, or Google Cloud AI services. - Experience in enterprise transformation programs and innovation initiatives. - Familiarity with AI governance, responsible AI practices, and risk management. - Experience working in Agile product development environments. ## Key Capability Areas - AI Strategy: AI Use Case Definition and AI Opportunity Assessment and Business Value Mapping - Product Management: Product Strategy and AI Roadmap Development and Adoption Planning - Stakeholder Management: Executive Engagement and Cross-functional Collaboration and Business-Technology Alignment - AI Adoption: Change Enablement and User Adoption Strategy and AI Transformation Initiatives - Business Translation: Translating AI Capabilities and Driving Measurable Business Outcomes and Strategic Decision Support