Senior Specialist – Digital Products & Business Intelligence (United Arab Emirates) Abu Dhabi

Requirements

Candidates must have a bachelor’s degree and over 8 years of experience in product ownership or digital transformation with a focus on AI/ML initiatives. Proficiency in low-code automation tools like Copilot Studio and experience in AI governance and UAT are required.

Job Summary

The Senior Specialist, Digital Products (AI) is responsible for shaping and
executing the AI workstream within the digital products portfolio. The role owns
the AI roadmap, ensuring alignment with the wider product roadmap and
organisational strategy, and drives the identification, assessment, and delivery
of high-impact AI use cases from concept through to implementation, monitoring,
and refinement.
Operational

* Develop and maintain the AI roadmap for the Registration Authority, ensuring
alignment with the digital products roadmap and the central AI programme.
* Own and continuously refine the AI use case assessment and prioritisation
framework, ensuring it remains fit for purpose as the portfolio and
technology landscape evolve.
* Identify, document, maintain and prioritise AI use cases across business
functions, applying the prioritisation framework consistently.
* Prepare business cases and requirements documentation for approved use cases,
including success criteria and measurable KPIs.
* Manage prioritised use cases with technology teams and vendors through to
delivery, acting as product owner for AI initiatives.
* Ongoing analysis of market and technology landscape to identify tools,
platforms, and emerging capabilities that can support delivery of the AI
roadmap and make recommendations for evaluation or adoption.
* Produce regular reporting on delivered AI tools and solutions, covering
adoption, performance against success criteria, efficiency gains, and lessons
learned, for management and relevant governance forums.
* Assess the operational, regulatory, and data impact of AI implementations
prior to deployment.
* Ensure all AI implementations and tooling comply with information security
requirements, data protection obligations, and organisational technology
governance, coordinating with relevant teams for assessment and approval.
* Establish ongoing monitoring of deployed solutions, tracking performance
against defined success criteria and identifying opportunities for
refinement.
* Manage AI-related risks, including model accuracy, data quality, security,
and responsible AI considerations, in line with organisational governance and
applicable regulatory requirements.
* Define UAT acceptance criteria in line with documented requirements,
coordinating testing activities with product teams, business users and
technology teams.
* Lead user acceptance testing (UAT) for developed products, following
established procedures to validate functionality, accuracy, and usability
prior to release.
* Ensure defects and gaps identified during testing are logged, tracked, and
resolved before solutions are exposed to end users, with formal sign-off
recorded.
* Support product teams in roadmap delivery, including defining success
criteria, tracking metrics, and reporting on outcomes.
* Provide analytical and documentation support across the digital products
portfolio as required.
* Design, build, and maintain internal AI agents and automations using existing
enterprise technologies (e.g. Microsoft Copilot Studio, Power Automate) to
drive operational efficiency within the Authority. 
* Develop training materials, guidance, and outputs to support adoption of AI
tools across teams.
* Act as an internal champion for responsible and effective AI usage.

Information Security related 

* Understand, adopt, adhere and practice responsibilities or controls as per
ADGM Information Security policy and as per best practices explained in the
induction and awareness sessions. 
* Confidentiality, Integrity and availability of the ADGM Information shall be
maintained at all times i.e. within as well as outside ADGM.
* Bachelor’s degree in a relevant field (computer science, business,
engineering, or similar) 

Education & Work Experience

* Bachelor’s degree in a relevant field (computer science, business,
engineering, or similar) 
* 8 years+’ experience in product ownership, business analysis, or digital
transformation, with demonstrable exposure to AI/ML initiatives.
* Demonstrable experience leading AI programmes or initiatives end to end,
including use case identification, prioritisation, delivery, and
post-implementation monitoring.
* Hands-on experience with low-code AI/automation platforms (Copilot Studio,
Power Automate, or equivalent).
* Experience writing requirements documentation, business cases, and
prioritisation frameworks.
* Experience planning and leading UAT within structured delivery processes.
* Familiarity with AI governance, risk management, and responsible AI
principles; regulatory environment experience an advantage.

Responsibilities

The role is responsible for shaping and executing the AI workstream, including owning the AI roadmap and delivering high-impact AI use cases. It involves managing the end-to-end lifecycle of AI initiatives from concept and prioritization to implementation and performance monitoring.

We are a job aggregator. All rights belong to the original company or recruiter. We do not claim ownership of any listings.