Product Owner

Worldhire Global

Posted by a Verified Recruiter

Industry

IT Services and IT Consulting

Location

Abu Dhabi, United Arab Emirates

Work mode

On-site

Job type

Full-time

Annual salary

AED 264,000 - AED 300,000 (AED 264 Thousand - AED 300 Thousand)

Minimum experience

8+ years

Posted

26th October, 2026

Required skills

Product ManagementAI/MLAgile MethodologiesStakeholder ManagementAnalytical ThinkingCommunicationProblem-Solving

About the company

Worldhire is a search executive firm, specialising in hiring for mid to senior level positions accross the globe.

About the role

Product Owner - AI Initiatives & Strategy

Location: Abu Dhabi, UAE

Industry: Tourism, Culture & Government Services

About the Role

We are seeking a forward-thinking Product Owner - AI Initiatives & Strategy to bridge

the gap between business strategy and technology execution, driving the development and implementation of AI-powered solutions across tourism, culture, and government services.

This role offers the opportunity to shape the AI product roadmap, identify high-impact

opportunities for Artificial Intelligence, and lead cross-functional teams in transforming

strategic ideas into scalable, production-ready solutions.

Working closely with senior leadership, business stakeholders, data scientists, engineering teams, and external technology partners, you will own the end-to-end product lifecycle- from opportunity identification and feasibility assessment through development, deployment, and adoption.

The ideal candidate combines strong product management expertise with a sound

understanding of AI/ML technologies, strategic thinking, and the ability to translate complex business challenges into practical technology solutions.

Key Responsibilities

AI Strategy & Product Roadmap

Collaborate with senior leadership to define and execute AI and data product

strategies aligned with organisational priorities.

Identify and evaluate AI use cases across tourism promotion, cultural assets,

museums, visitor analytics, licensing, and internal operations.

Conduct market research, technology benchmarking, and feasibility assessments to identify opportunities for AI adoption.

Prioritise initiatives based on business value, technical feasibility, scalability, and

expected impact.

Develop product roadmaps, business requirements, success metrics, and

implementation plans for AI initiatives.

Product Ownership & Delivery

Own the end-to-end product lifecycle, from ideation and requirements definition to

development, testing, deployment, and continuous improvement.

Translate business objectives into product specifications, user stories, acceptance

criteria, and prioritised backlogs.

Lead Agile product delivery, including sprint planning, stand-ups, reviews, and

retrospectives.

Coordinate cross-functional teams comprising data scientists, AI/ML engineers, data engineers, software developers, UX designers, and external vendors.

Monitor delivery milestones, manage dependencies and risks, and ensure solutions

meet business requirements and quality standards.

AI Innovation & Solution Development

Evaluate opportunities involving Generative AI, machine learning, predictive

analytics, computer vision, and conversational AI.

Work with technical teams to assess solution feasibility, data requirements,

integration needs, scalability, and performance.

Ensure AI initiatives are aligned with business needs and deliver measurable

operational or customer-experience improvements.

Support the development of appropriate product performance indicators and

evaluation frameworks.

Consider responsible AI practices, data privacy, security, and governance

requirements throughout the product lifecycle.

Stakeholder Management & Adoption

Act as the primary liaison between business stakeholders and technical delivery

teams.

Translate complex AI concepts into clear business recommendations for senior

leadership and non-technical stakeholders.

Engage stakeholders across tourism, culture, museums, licensing, and internal

functions to define requirements and validate solutions.

Drive user adoption, change management, and continuous feedback to support

successful implementation.

Manage external technology partners and vendors to ensure alignment with product objectives and delivery expectations.

Required Qualifications & Experience

Bachelor's degree in Computer Science, Information Technology, Engineering,

Business, or a related discipline. A relevant postgraduate qualification is an

advantage.

Approximately 8-12 years of overall professional experience, with substantial

experience in product management, product ownership, AI strategy, or technology

delivery.

Demonstrable experience managing AI/ML or Generative AI products and initiatives.
Proven track record of taking enterprise-grade AI solutions from concept through

production deployment.

Experience defining product vision, roadmaps, use cases, requirements, and

prioritisation frameworks.

Strong understanding of AI capabilities, limitations, business applications, and

technical feasibility.

Experience working with cross-functional technical teams, including data scientists,

AI/ML engineers, and software development teams.

Strong stakeholder management, analytical thinking, communication, and problem-

solving skills.

Experience with Agile methodologies and modern product management practices.

Preferred Experience

Experience in government, public-sector transformation, tourism, hospitality, cultural

institutions, or smart-city initiatives.

Exposure to enterprise AI adoption, digital transformation, or AI-enabled service

innovation.

Experience conducting feasibility studies, market research, and business-value

assessments for emerging technologies.

Familiarity with AI governance, data privacy, responsible AI, and enterprise

technology integration.

What Success Looks Like

A clearly defined and prioritised AI product roadmap aligned with organisational

objectives.

Successful delivery of AI initiatives from ideation to production.
Effective collaboration between business stakeholders and technical delivery teams.
Measurable improvements in operational efficiency, service delivery, or visitor

experience.