Digital Product Manager – AI, Digital & Enterprise Platforms

Location: Abu Dhabi UAE
Employment Type: Full-Time
Salary: AED 15000 per month
Language Requirements: Arabic (Fluent) and English (Strong Communication)
Experience: 57 years in Digital Product Management including 3 years managing enterprise-scale or government platforms

We are looking for an experienced Digital Product Manager to lead the end-to-end product lifecycle for enterprise digital products platforms and highly scalable shared services within a complex government or enterprise environment.

The role will be responsible for defining product vision strategy roadmap business value delivery adoption and continuous improvement while leveraging modern technologies including Cloud SaaS Generative AI (GenAI) Agentic AI Large Language Models (LLMs) automation analytics and data-driven product management.

The ideal candidate will have strong experience working with senior stakeholders technology and business teams and cross-functional delivery teams with the ability to translate business and user requirements into scalable secure and measurable digital products.

• Define and own the product vision strategy business case roadmap and value realization aligned with organizational and government strategic priorities.
• Translate business requirements user needs policies and regulatory requirements into scalable product capabilities and prioritized roadmaps.
• Manage the end-to-end digital product lifecycle from ideation and discovery through development delivery launch adoption optimization and continuous improvement.
• Apply modern Product Management Agile Scrum Lean DevSecOps Continuous Discovery and Continuous Delivery practices.
• Own and prioritize product backlogs based on customer insights product analytics business value user needs and strategic objectives.
• Collaborate with Enterprise Architecture Cybersecurity Data Legal Procurement UI/UX Engineering and Business stakeholders to deliver secure scalable integrated digital products.
• Drive cloud-native API-first secure-by-design reusable and scalable platform capabilities aligned with cloud migration data management data sovereignty cybersecurity and government compliance requirements.
• Identify and integrate Artificial Intelligence (AI) Generative AI Agentic AI automation and analytics use cases into digital products.
• Define and support AI governance responsible AI controls AI use cases ROI measurement and adoption strategies.
• Contribute to AI-enabled product capabilities involving LLMs RAG prompt engineering AI agents automation and MLOps.
• Lead digital transformation and modernization initiatives including legacy platform assessment rationalization migration and decommissioning.
• Manage vendors budgets risks procurement activities dependencies and executive-level reporting to support successful product delivery.
• Drive product adoption change management stakeholder engagement and benefits realization across government entities and enterprise stakeholders.
• Define and monitor KPIs SLAs XLAs product adoption metrics utilization customer experience and business value.
• Lead continuous product improvement through data-driven decision-making experimentation analytics and customer feedback.
• Build lead and mentor high-performing cross-functional product teams fostering innovation collaboration and delivery excellence.
• Support innovation labs co-creation initiatives public-private partnerships and emerging technology programs to validate and accelerate new digital solutions.

• Bachelors degree in Computer Science Computer Engineering Information Systems Artificial Intelligence Software Engineering or a related technology/digital discipline.
• Masters degree in a relevant field is preferred.
• 57 years of professional experience in Digital Product Management Product Ownership or related product leadership roles.
• At least 3 years of experience leading enterprise-scale digital products platforms or government technology solutions.
• Proven experience delivering AI-enabled cloud-based SaaS or enterprise digital products.
• Strong understanding of Generative AI Large Language Models (LLMs) Agentic AI RAG prompt engineering AI governance and MLOps concepts.
• Strong knowledge of modern Product Management Agile Scrum Lean OKRs Design Thinking Product Analytics experimentation and continuous delivery.
• Experience with cloud-native architectures APIs SaaS platforms cybersecurity data platforms and enterprise integration.
• Experience working with cross-functional teams and senior/executive stakeholders in complex enterprise or government environments.
• Strong understanding of digital transformation platform modernization legacy rationalization and technology adoption.
• Experience managing vendors budgets risks procurement dependencies and executive reporting.

Digital Product Management Product Strategy Product Roadmap Product Lifecycle Product Ownership Enterprise Platforms Government Digital Transformation AI Products Generative AI GenAI Agentic AI LLM RAG Prompt Engineering AI Governance MLOps Cloud Computing SaaS Cloud-Native API-First DevSecOps Agile Scrum Lean OKRs Design Thinking Product Analytics Experimentation Automation Data-Driven Decision Making Cybersecurity Data Management Digital Transformation Legacy Modernization Vendor Management Stakeholder Management Change Management

• Fluent Arabic language skills are mandatory.
• Strong English communication skills are mandatory including professional written and verbal communication.
• Strong ability to communicate with senior executives government stakeholders business teams and technical teams.
• Strong presentation negotiation stakeholder management and leadership skills.

Relevant certifications in Product Management Product Ownership Agile Scrum Project Management Digital Transformation Cloud or AI are preferred.

We are seeking a hands-on and strategic Digital Product Manager who can bridge business technology data AI and user needs to deliver scalable enterprise digital products. The successful candidate should be comfortable operating in a government or complex enterprise environment managing multiple stakeholders and driving products from strategy and discovery through delivery adoption and measurable business value.