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

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