Job Description: AI Product & Business Translation Lead
Job Title:
AI Product & Business Translation Lead
Experience:
9–12+ Years
Location:Â
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 SkillsAI 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