Digital Product Manager - AI, Digital & Enterprise Platforms

Location: Abu Dhabi, UAE

Employment Type: Full-Time

Salary: AED 10,000 per month

Language Requirements: Arabic (Fluent) and English (Strong Communication)

Experience: 5-7 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, Dev Sec Ops , 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.

• Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Artificial Intelligence, Software Engineering, or a related technology/digital discipline
  .
• Master's degree in a relevant field is preferred.
• 5-7 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,…