cognitive ai product manager

Arab Solutions

<div>
 <strong>
  Job Title:
 </strong>
 Cognitive AI Product Manager
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 The Cognitive AI Product Manager owns the vision, roadmap, and delivery outcomes for TASMU 2.0 Cognitive AI capabilities, ensuring they are delivered as scalable, secure, multi-tenant platform services consumed by ministries and gov entities. The role defines product strategy and success metrics, prioritizes features across vendor-delivered workstreams, and drives alignment across architecture, security, data governance, operations, and commercial stakeholders. The Product Manager shapes the service catalog experience, packaging (sandbox, managed, self-hosted), and lifecycle (launch, adoption, continuous improvement), ensuring the platform meets performance, compliance, and cost targets while improving developer and operator experience.
 <br/>
 <br/>
 <strong>
  Duties And Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Define Cognitive AI product vision, value proposition, and multi-year roadmap aligned with TASMU 2.0 objectives.
  </li>
  <li>
   Translate stakeholder needs into epics/features/user stories with clear acceptance criteria and measurable outcomes.
  </li>
  <li>
   Own prioritization across core components: model inferencing service, RAG/KB, fine-tuning, MCP/agentic enablement, observability, analytics, multitenancy, and multicloud.
  </li>
  <li>
   Manage vendor delivery as product workstreams: scope control, dependencies, milestones, and evidence-based acceptance (KPIs/SLOs).
  </li>
  <li>
   Define service catalog offerings (SKUs/tiers), onboarding flows, pricing/chargeback inputs, and operational SLAs/OLAs.
  </li>
  <li>
   Drive governance with architects and security/privacy leads (policies, model approvals, data boundaries, exception handling).
  </li>
  <li>
   Establish product analytics and adoption tracking (PostHog): funnels, retention, developer productivity metrics, and customer satisfaction signals.
  </li>
  <li>
   Coordinate go-to-market/internal enablement: documentation, training materials, release notes, demos, and stakeholder communications.
  </li>
  <li>
   Lead launch readiness and continuous improvement: incident learnings, feedback loops, backlog grooming, and quarterly roadmap reviews.
  </li>
  <li>
   Ensure compliance with contract schedules: performance, security, support/maintenance obligations, and audit evidence requirements.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills &amp; Abilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong product management capability for complex platform products (service catalog, APIs, multi-tenant services).
  </li>
  <li>
   Good understanding of AI platforms (inference, RAG, fine-tuning, guardrails, governance) and cloud-native delivery.
  </li>
  <li>
   Ability to define measurable KPIs/SLOs and manage delivery through acceptance criteria and outcomes.
  </li>
  <li>
   Excellent stakeholder management across technical, commercial, legal, security, and operations teams.
  </li>
  <li>
   Strong prioritization and decision-making under constraints; ability to manage dependencies across vendors.
  </li>
  <li>
   Clear communication and narrative-building for executive and technical audiences.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Potential Background
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   8+ years in product management for platform, cloud, data, or AI/ML products in enterprise/government/telco contexts.
  </li>
  <li>
   Experience delivering API-based products and developer platforms (documentation, SDKs, self-service onboarding).
  </li>
  <li>
   Exposure to multi-vendor delivery models (SIs, managed services) and contract-based acceptance/KPI management.
  </li>
  <li>
   Experience working with security, privacy, and data governance requirements in regulated environments.
  </li>
  <li>
   Familiarity with cloud-native architectures and Kubernetes-based platforms; multicloud exposure preferred.
  </li>
  <li>
   Prior experience launching AI-enabled products (assistants, RAG, analytics, governance) is a strong plus.
   <br/>
   <br/>
  </li>
 </ul>
 Skills: rag/kb,scope control,multicloud,governance,ai/ml,sis,sdks,cloud,documentation,stakeholder,data,slas/olas,analytics
</div>


Cognitive AI Product Manager

PROZ TECHNOLOGIES

<p><b>JOB DESCRIPTION</b></p><p>The Cognitive AI Product Manager owns the vision, roadmap, and delivery outcomes for TASMU 2.0 Cognitive AI capabilities, ensuring they are delivered as scalable, secure, multi-tenant platform services consumed by ministries and gov entities. The role defines product strategy and success metrics, prioritizes features across vendor-delivered workstreams, and drives alignment across architecture, security, data governance, operations, and commercial stakeholders. The Product Manager shapes the service catalog experience, packaging (sandbox, managed, self-hosted), and lifecycle (launch, adoption, continuous improvement), ensuring the platform meets performance, compliance, and cost targets while improving developer and operator experience.</p><p><b>DUTIES &amp; RESPONSIBILITIES</b></p><ul><li>Define Cognitive AI product vision, value proposition, and multi-year roadmap aligned with TASMU 2.0 objectives.</li><li>Translate stakeholder needs into epics/features/user stories with clear acceptance criteria and measurable outcomes.</li><li>Own prioritization across core components: model inferencing service, RAG/KB, fine-tuning, MCP/agentic enablement, observability, analytics, multitenancy, and multicloud.</li><li>Manage vendor delivery as product workstreams: scope control, dependencies, milestones, and evidence-based acceptance (KPIs/SLOs).</li><li>Define service catalog offerings (SKUs/tiers), onboarding flows, pricing/chargeback inputs, and operational SLAs/OLAs.</li><li>Drive governance with architects and security/privacy leads (policies, model approvals, data boundaries, exception handling).</li><li>Establish product analytics and adoption tracking (PostHog): funnels, retention, developer productivity metrics, and customer satisfaction signals.</li><li>Coordinate go-to-market/internal enablement: documentation, training materials, release notes, demos, and stakeholder communications.</li><li>Lead launch readiness and continuous improvement: incident learnings, feedback loops, backlog grooming, and quarterly roadmap reviews.</li><li>Ensure compliance with contract schedules: performance, security, support/maintenance obligations, and audit evidence requirements.</li></ul><p><b>SKILLS &amp; ABILITIES</b></p><ul><li>Strong product management capability for complex platform products (service catalog, APIs, multi-tenant services).</li><li>Good understanding of AI platforms (inference, RAG, fine-tuning, guardrails, governance) and cloud-native delivery.</li><li>Ability to define measurable KPIs/SLOs and manage delivery through acceptance criteria and outcomes.</li><li>Excellent stakeholder management across technical, commercial, legal, security, and operations teams.</li><li>Strong prioritization and decision-making under constraints; ability to manage dependencies across vendors.</li><li>Clear communication and narrative-building for executive and technical audiences</li></ul><p><b>POTENTIAL BACKGROUND</b></p><ul><li>8+ years in product management for platform, cloud, data, or AI/ML products in enterprise/government/telco contexts.</li><li>Experience delivering API-based products and developer platforms (documentation, SDKs, self-service onboarding).</li><li>Exposure to multi-vendor delivery models (SIs, managed services) and contract-based acceptance/KPI management.</li><li>Experience working with security, privacy, and data governance requirements in regulated environments.</li><li>Familiarity with cloud-native architectures and Kubernetes-based platforms; multicloud exposure preferred.</li><li>Prior experience launching AI-enabled products (assistants, RAG, analytics, governance) is a strong plus</li></ul><p><b>PREFERRED TOOLS / SOFT SKILLS</b></p><ul><li>Product delivery: Azure DevOps Boards, roadmapping tools (Aha!/Jira Product Discovery)</li><li>Analytics: PostHog, KPI dashboards (Power BI)</li><li>API/product artifacts: OpenAPI/Swagger, Postman, documentation portals (Backstage/ReadMe-style)</li><li>Collaboration: Miro, Figma, MS Teams</li></ul><p><b>Soft skills</b></p><ul><li>Strong facilitation and workshop leadership (requirements, prioritization, discovery)</li><li>Structured thinking and ability to simplify complex technical domains into clear product increments</li><li>Commercial awareness: scope control, value-based prioritization, and vendor management</li><li>Customer-centric mindset with bias toward measurable adoption and developer productivity</li><li>High ownership and accountability; ability to unblock delivery across teams</li><li>Confident communication with executives, architects, and vendors; crisp written documentation</li></ul><p>Job Type: Permanent</p><p>Pay: Up to QAR23,000.00 per month</p><p>Work Location: In person</p>

<div>
 <strong>
  Job Title:
 </strong>
 Cognitive AI Project Manager
 <br/>
 <br/>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 The Cognitive AI Project Manager is responsible for planning, coordinating, and delivering the Cognitive AI program of work within TASMU 2.0, ensuring multi-vendor teams deliver agreed scope, milestones, and acceptance outcomes on time and within governance. The role manages dependencies across platform foundations (multicloud, security, data, integration, observability), vendor build streams (inference, RAG/KB, fine-tuning, MCP, analytics), and operational readiness activities (SLOs, runbooks, ITSM/SIEM integration). The Project Manager drives program cadence, RAID management, stakeholder communications, and contractual deliverables, ensuring solutions are production-ready, compliant, and ready for adoption by TASMU customers.
 <br/>
 <br/>
 <strong>
  Duties And Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Own end-to-end delivery plan: milestones, workstreams, resource plan, budget tracking, and integrated master schedule.
  </li>
  <li>
   Manage multi-vendor delivery execution: workstream coordination, dependency mapping, and delivery governance (weekly cadence, steering inputs).
  </li>
  <li>
   Maintain RAID (risks, assumptions, issues, dependencies) register and drive mitigation/closure with accountable owners.
  </li>
  <li>
   Ensure delivery aligns to TASMU architecture/security/data governance gates (design reviews, approvals, exception handling).
  </li>
  <li>
   Coordinate acceptance management: definition of completion criteria, evidence collection, test plans, and sign-off processes (KPIs/SLOs).
  </li>
  <li>
   Drive operational readiness: ITSM integration, monitoring/observability onboarding, SIEM logging, DR planning, and L1/L2/L3 handover.
  </li>
  <li>
   Manage change control: scope baseline, CR process, impact analysis, and stakeholder approvals.
  </li>
  <li>
   Run stakeholder communication: status reporting, executive summaries, action tracking, and escalation management.
  </li>
  <li>
   Coordinate vendor deliverables for documentation and enablement (IaC repos, runbooks, training materials, release notes).
  </li>
  <li>
   Support procurement/commercial governance: align delivery artefacts to contract schedules, SLAs, and service support obligations.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Skills &amp; Abilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong project management capability in complex, multi-vendor technology programs with governance and contractual delivery. Ability to manage technical dependencies across cloud, AI, data, security, and operations workstreams.
  </li>
  <li>
   Skilled in planning, scheduling, and delivery control (critical path, earned progress, milestone tracking).
  </li>
  <li>
   Strong RAID, change management, and stakeholder communication skills, including executive-level reporting.
  </li>
  <li>
   Understanding of cloud-native delivery practices (agile + DevSecOps, IaC/GitOps, environments, release management).
  </li>
  <li>
   Ability to drive outcomes through influence and structured governance, not just task tracking.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Potential Background
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   7+ years in project/program management delivering enterprise platforms or cloud/data/AI initiatives.
  </li>
  <li>
   Demonstrated experience coordinating multiple SIs/vendors and managing acceptance criteria and contractual deliverables.
  </li>
  <li>
   Experience working in regulated environments (government, telco, critical infrastructure) with security/compliance gates.
  </li>
  <li>
   Familiarity with cloud landing zones, Kubernetes platforms, observability, and ITSM/SIEM integration is preferred.
  </li>
  <li>
   Experience with hybrid delivery methods (waterfall governance + agile execution) and release-to-production processes.
  </li>
  <li>
   Certifications preferred: PMP/PRINCE2, Agile/Scrum, ITIL awareness (optional).
   <br/>
   <br/>
  </li>
 </ul>
 Skills: scrum,budget tracking,devsecops,stakeholder,slas,itil awareness,iac/gitops,itsm/siem,cloud,cr process,data,ai initiatives,prince2,pmp,agile,raid
</div>


Cognitive AI Project Manager

Anotech

<div>
 <p>
  <strong>
   Job Purpose:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Cognitive AI Project Manager is responsible for planning, coordinating, and delivering the Cognitive AI program of work, ensuring multi-vendor teams deliver agreed scope, milestones, and acceptance outcomes on time and within governance. The role manages dependencies across platform foundations (multicloud, security, data, integration, observability), vendor build streams (inference, RAG/KB, fine-tuning, MCP, analytics), and operational readiness activities (SLOs, runbooks, ITSM/SIEM integration). The Project Manager drives program cadence, RAID management, stakeholder communications, and contractual deliverables, ensuring solutions are production-ready, compliant, and ready for adoption by customers.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications &amp; Experience:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   7+ years in project/program management delivering enterprise platforms or cloud/data/AI initiatives.
  </li>
  <li>
   Demonstrated experience coordinating multiple SIs/vendors and managing acceptance criteria and contractual deliverables.
  </li>
  <li>
   Experience working in regulated environments (government, telco, critical infrastructure) with security/compliance gates.
  </li>
  <li>
   Familiarity with cloud landing zones, Kubernetes platforms, observability, and ITSM/SIEM integration is preferred.
  </li>
  <li>
   Experience with hybrid delivery methods (waterfall governance + agile execution) and release-to-production processes.
  </li>
  <li>
   Certifications preferred: PMP/PRINCE2, Agile/Scrum, ITIL awareness (optional).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Skills &amp; Abilities:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Strong project management capability in complex, multi-vendor technology programs with governance and contractual delivery.
  </li>
  <li>
   Ability to manage technical dependencies across cloud, AI, data, security, and operations workstreams.
  </li>
  <li>
   Skilled in planning, scheduling, and delivery control (critical path, earned progress, milestone tracking).
  </li>
  <li>
   Strong RAID, change management, and stakeholder communication skills, including executive-level reporting.
  </li>
  <li>
   Understanding of cloud-native delivery practices (agile + DevSecOps, IaC/GitOps, environments, release management).
  </li>
  <li>
   Ability to drive outcomes through influence and structured governance, not just task tracking.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Tools:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Planning &amp; delivery: MS Project / Smartsheet, Jira/Azure DevOps Boards, Confluence
  </li>
  <li>
   Reporting: Power BI (status dashboards), Excel/Sheets for RAID and financial tracking
  </li>
  <li>
   Collaboration: MS Teams, Miro, Figma
  </li>
  <li>
   Documentation &amp; control: SharePoint/GitHub (evidence repositories, IaC deliverables tracking)
  </li>
 </ul>
 <p>
 </p>
</div>


<p>Hello,<br/>Greetings from Proztec Qatar! I hope everything is going well with you.</p><p><b>JOB DESCRIPTION</b></p><p>The Cognitive AI Project Manager is responsible for planning, coordinating, and delivering the Cognitive AI program of work within TASMU 2.0, ensuring multi-vendor teams deliver agreed scope, milestones, and acceptance outcomes on time and within governance. The role manages dependencies across platform foundations (multicloud, security, data, integration, observability), vendor build streams (inference, RAG/KB, fine-tuning, MCP, analytics), and operational readiness activities (SLOs, runbooks, ITSM/SIEM integration). The Project Manager drives program cadence, RAID management, stakeholder communications, and contractual deliverables, ensuring solutions are production-ready, compliant, and ready for adoption by TASMU customers.</p><p><b>DUTIES &amp; RESPONSIBILITIES</b></p><ul><li>Own end-to-end delivery plan: milestones, workstreams, resource plan, budget tracking, and integrated master schedule.</li><li>Manage multi-vendor delivery execution: workstream coordination, dependency mapping, and delivery governance (weekly cadence, steering inputs).</li><li>Maintain RAID (risks, assumptions, issues, dependencies) register and drive mitigation/closure with accountable owners.</li><li>Ensure delivery aligns to TASMU architecture/security/data governance gates (design reviews, approvals, exception handling).</li><li>Coordinate acceptance management: definition of completion criteria, evidence collection, test plans, and sign-off processes (KPIs/SLOs).</li><li>Drive operational readiness: ITSM integration, monitoring/observability onboarding, SIEM logging, DR planning, and L1/L2/L3 handover.</li><li>Manage change control: scope baseline, CR process, impact analysis, and stakeholder approvals.</li><li>Run stakeholder communication: status reporting, executive summaries, action tracking, and escalation management.</li><li>Coordinate vendor deliverables for documentation and enablement (IaC repos, runbooks, training materials, release notes).</li></ul><p>Support procurement/commercial governance: align delivery artefacts to contract schedules, SLAs, and service support obligations.</p><p><b>SKILLS &amp; ABILITIES</b></p><ul><li>Strong project management capability in complex, multi-vendor technology programs with governance and contractual delivery.</li><li>Ability to manage technical dependencies across cloud, AI, data, security, and operations workstreams.</li><li>Skilled in planning, scheduling, and delivery control (critical path, earned progress, milestone tracking).</li><li>Strong RAID, change management, and stakeholder communication skills, including executive-level reporting.</li><li>Understanding of cloud-native delivery practices (agile + DevSecOps, IaC/GitOps, environments, release management).</li><li>Ability to drive outcomes through influence and structured governance, not just task tracking</li></ul><p><b>POTENTIAL BACKGROUND</b></p><ul><li>7+ years in project/program management delivering enterprise platforms or cloud/data/AI initiatives.</li><li>Demonstrated experience coordinating multiple SIs/vendors and managing acceptance criteria and contractual deliverables.</li><li>Experience working in regulated environments (government, telco, critical infrastructure) with security/compliance gates.</li><li>Familiarity with cloud landing zones, Kubernetes platforms, observability, and ITSM/SIEM integration is preferred.</li><li>Experience with hybrid delivery methods (waterfall governance + agile execution) and release-to-production processes.</li><li>Certifications preferred: PMP/PRINCE2, Agile/Scrum, ITIL awareness (optional).</li></ul><p><b>PREFERRED TOOLS</b></p><ul><li>Planning &amp; delivery: MS Project / Smartsheet, Jira/Azure DevOps Boards, Confluence</li><li>Reporting: Power BI (status dashboards), Excel/Sheets for RAID and financial tracking</li><li>Collaboration: MS Teams, Miro, Figma</li><li>Documentation &amp; control: SharePoint/GitHub (evidence repositories, IaC deliverables tracking)</li></ul><p><b>SOFT SKILLS</b></p><ul><li>Strong facilitation of governance cadence (weekly delivery, RAID, steering and decision forums)</li><li>Clear, concise communication and executive-ready reporting</li><li>Proactive risk management and structured problem solving</li><li>Negotiation and conflict resolution across vendors and stakeholders</li><li>High ownership and bias for delivery with disciplined follow-through</li><li>Ability to operate calmly under pressure and manage escalations effectively</li></ul><p>Job Type: Permanent</p><p>Pay: Up to QAR18,000.00 per month</p><p>Work Location: In person</p>

Omnix

<div></div><div><div><div><div><h5 class="jobSectionHeader"><b>Abu Dhabi</b></h5>
Posted : 13 Mar 2026
<ul><li>Information Technology</li>
<li>Digital Innovation</li>
</ul><ul><li>Full Time</li></ul>
</div><div></div><div><div><div><div><b>ABU DHABI, UAE</b></div>
<h1 class="jobSectionHeader"><b>Technical Product Manager</b><br>
<b>Lead / Principal Level</b></h1>
<p>Own the end-to-end product lifecycle across a portfolio of digital products &mdash; where technical fluency meets strategic product leadership.</p>
<div></div><div><div>Full-Time &middot; Permanent
</div><div></div><div>10+ Years Experience Required
</div><div></div><div>Agile Squad Leadership
</div></div><p><b>Arabic Language Proficiency Strongly Preferred</b></p>
</div></div><div><div><div>We are looking for a <b>technically proficient product leader</b> to own the end-to-end lifecycle across a portfolio of digital products serving internal and external stakeholders.</div>
<p>This role demands <b>genuine technical fluency</b> &mdash; the ability to engage directly with architects, engineers, and platform teams on system design, integration architecture, API strategy, and data flows. This is not a translation role. Operating at Lead/Principal level, you will set product and technical direction across multiple interconnected products, make engineering decisions with a clear understanding of business impact, and elevate the product management practice across the organisation.</p>
</div><div><div><p><b>MINIMUM EXPERIENCE</b></p>
<div><b>10</b><b>+ yrs</b></div>
<p>Product Management &mdash; technically complex digital products</p>
</div><div><p><b>CORE PLATFORMS</b></p>
<div><b>OutSystems</b><br>
<b>Pega Constellation</b></div>
<p>Hands-on low-code platform experience strongly preferred</p>
</div></div><div></div><div><div><div><b>Key Responsibilities</b></div>
</div><div><p><b>PRODUCT STRATEGY &amp; PORTFOLIO ROADMAP</b></p>
<div><ul><li>Define and own product vision, strategy, and roadmap &mdash; covering near-term delivery, medium-term capability building, and long-term direction across a portfolio of digital products</li>
<li>Translate business objectives into prioritised product backlogs with clear acceptance criteria across multiple concurrent product streams</li>
<li>Develop and maintain product business cases including value propositions, success metrics, and investment rationale</li>
<li>Lead product discovery &mdash; opportunity assessments, problem framing, and hypothesis-driven experimentation</li>
<li>Identify inter-product dependencies, shared capabilities, and platform reuse opportunities to maximise delivery efficiency</li>
</ul></div></div><div><p><b>STAKEHOLDER MANAGEMENT &amp; GOVERNANCE</b></p>
<div><ul><li>Serve as the primary accountability point between business stakeholders, technology teams, and external partners</li>
<li>Translate technical decisions into business language and business priorities into technical direction &mdash; fluently in both directions</li>
<li>Manage stakeholder expectations through structured communication, regular reporting, and transparent governance</li>
<li>Run product review meetings and cross-functional alignment sessions representing both product intent and technical integrity</li>
</ul></div></div><div><p><b>AGILE DELIVERY, RISK &amp; SQUAD LEADERSHIP</b></p>
<div><ul><li>Lead agile squads through sprint planning, backlog refinement, retrospectives, and release planning</li>
<li>Proactively identify, assess, and manage delivery risks &mdash; maintaining a live risk register and escalating with recommended mitigations before they impact timelines</li>
<li>Manage scope changes, dependency conflicts, and non-standard delivery events &mdash; ensuring all decisions are documented</li>
<li>Remove delivery impediments and escalate blockers to maintain squad velocity and quality</li>
<li>Collaborate with UI/UX, BA, Development, QA, and Platform teams to ensure design intent translates faithfully within delivery constraints</li>
<li>Define and track product metrics, OKRs, and KPIs to measure outcomes and drive continuous improvement</li>
</ul></div></div><div><p><b>TECHNICAL ARCHITECTURE &amp; PLATFORM DELIVERY</b></p>
<div><ul><li>Engage directly with solution architects and integration engineers on system design &mdash; application architecture, API design, data flows, and integration patterns</li>
<li>Develop and own the technical product roadmap &mdash; sequencing foundational platform work to unblock feature delivery</li>
<li>Assess and recommend build/buy/configure/integrate decisions, weighing technical debt, scalability, and total cost of ownership</li>
<li>Maintain deep working knowledge of the technology stack &mdash; OutSystems Reactive Web, Pega Constellation, REST/SOAP APIs, cloud infrastructure, and data pipelines</li>
<li>Evaluate and challenge architectural proposals, vendor technical claims, and platform constraints</li>
<li>Own technical debt as a first-class product concern &mdash; track, prioritise, and advocate for technical health investments</li>
<li>Define and govern non-functional requirements &mdash; performance, security, scalability, availability, and accessibility</li>
<li>Design product flows for AI-embedded features &mdash; conversational agents, intelligent recommendations, AI-assisted decision workflows</li>
</ul></div></div><div><p><b>USER RESEARCH &amp; VOICE OF CUSTOMER</b></p>
<div><ul><li>Own the Voice of Customer function &mdash; design and execute user research programmes including interviews, contextual enquiries, surveys, and usability sessions</li>
<li>Synthesise qualitative and quantitative findings into actionable insights that directly inform backlog prioritisation and product strategy</li>
<li>Build and maintain user personas, journey maps, and jobs-to-be-done frameworks as living artefacts</li>
<li>Champion a user-centred product culture across squads and stakeholder teams</li>
<li>Use LLM-based assistants to accelerate research consolidation &mdash; applying critical judgement to validate all AI-generated outputs</li>
</ul></div></div><div><p><b>BUSINESS CASE &amp; REQUIREMENTS</b></p>
<div><ul><li>Produce high-quality PRDs, user stories, and functional specifications capturing both business intent and technical constraints</li>
<li>Develop and maintain product business cases including value propositions, success metrics, investment rationale, and feasibility assessments</li>
<li>Use LLM-based tools to accelerate drafting of documentation and stakeholder communications &mdash; reviewing and adapting all AI-generated content for contextual fit</li>
</ul></div></div><div><p><b>MENTORING &amp; PM PRACTICE DEVELOPMENT</b></p>
<div><ul><li>Act as the product management subject matter expert &mdash; mentoring junior and peer product owners on methodology, prioritisation frameworks, and delivery best practices</li>
<li>Define and champion PM standards, templates, and ways of working across the organisation</li>
<li>Stay current with emerging trends in product management, low-code delivery, and AI-assisted workflows &mdash; recommending tools for adoption where relevant</li>
</ul></div></div></div><div></div><div><div><div><b>Technical Core Competencies</b></div>
</div><div><div><p><b>LOW-CODE PLATFORMS</b></p>
<ul><li>OutSystems Reactive Web</li>
<li>Pega Constellation</li>
<li>Platform config boundaries</li>
<li>Build vs. platform trade-offs</li>
</ul></div><div><p><b>API &amp; INTEGRATION</b></p>
<ul><li>RESTful &amp; SOAP API design</li>
<li>Enterprise integration patterns</li>
<li>Microservices architecture</li>
<li>Middleware &amp; data flows</li>
</ul></div><div><p><b>CLOUD INFRASTRUCTURE</b></p>
<ul><li>Compute, storage, networking</li>
<li>IAM &amp; managed services</li>
<li>Scalability &amp; resilience</li>
<li>Cost implications</li>
</ul></div><div><p><b>DATA ARCHITECTURE</b></p>
<ul><li>Relational &amp; non-relational DBs</li>
<li>Data pipelines &amp; ETL</li>
<li>BI tooling</li>
<li>Data governance principles</li>
</ul></div><div><p><b>AI / ML INTEGRATION</b></p>
<ul><li>Model APIs &amp; prompt engineering</li>
<li>RAG architectures</li>
<li>Responsible AI principles</li>
<li>LLM workflow integration</li>
</ul></div><div><p><b>SECURITY &amp; COMPLIANCE</b></p>
<ul><li>Auth &amp; authorisation patterns</li>
<li>Data privacy &amp; encryption</li>
<li>Audit logging requirements</li>
<li>NFR definition &amp; governance</li>
</ul></div></div></div><div></div><div><div><div><b>Qualifications &amp; Experience</b></div>
</div><div><p><b>EDUCATION</b></p>
<div><div><p><b>Computer Science</b></p>
<p><b>Software Engineering</b></p>
<p><b>Information Systems</b></p>
<p>Related Technical Discipline</p>
</div><p>A technical degree is strongly preferred over a purely business background.</p>
</div></div><div><p><b>PROFESSIONAL CERTIFICATIONS </b>(ADVANTAGEOUS)</p>
<div><div><p>CSPO</p>
<p>SAFe POPM</p>
<p>AWS / Azure Fundamentals</p>
<p>TOGAF Awareness</p>
</div></div></div><div><p><b>EXPERIENCE REQUIREMENTS</b></p>
<div><ul><li>10+ years in Product Management with demonstrable technical depth and hands-on engagement with engineering teams</li>
<li>Demonstrated experience managing a portfolio of multiple digital products simultaneously with portfolio-level prioritisation and technical roadmapping</li>
<li>Proven track record of influencing or owning specific technical decisions alongside architects and engineers</li>
<li>Experience delivering digital products on enterprise platforms &mdash; low-code, SaaS, or custom-built &mdash; for both internal and external stakeholders</li>
<li>Demonstrated experience leading agile squads in complex, multi-dependency enterprise environments</li>
<li>Track record of mentoring product owners or business analysts and contributing to PM standards development</li>
<li>Proven experience planning, facilitating, and synthesising user research &mdash; both qualitative and quantitative</li>
<li>Hands-on experience using AI/LLM tools in product workflows is strongly preferred</li>
</ul></div></div><div><p><b>LANGUAGE REQUIREMENTS</b></p>
<div><div><p><b>English &mdash; Required</b></p>
<p><b>Arabic &mdash; Strongly Preferred</b></p>
</div></div></div></div><div><p><b>A Note on Arabic Language Preference</b></p>
Arabic proficiency at a professional or conversational level is strongly preferred for this role given the stakeholder landscape and working environment in Abu Dhabi. Candidates with Arabic language skills will be prioritised at the screening stage.</div></div></div></div></div></div>

Technical Product Manager (Outsystems/Pega Constellations) - Abu Dhabi

QNB Group

<div>
 <strong>
  About QNB
  <br/>
  <br/>
 </strong>
 Established in 1964 as the country&rsquo;s first Qatari-owned commercial bank, QNB Group has steadily grown to become the largest bank in the Middle East and Africa (MEA) region.
 <br/>
 <br/>
 QNB Group&rsquo;s presence through its subsidiaries and associate companies extends to more than 31 countries across three continents providing a comprehensive range of advanced products and services. The total number of employees is more than 28,000 serving up to 20 million customers operating through 1,000 locations, with an ATM network of 4,300 machines.
 <br/>
 <br/>
 QNB has maintained its position as one of the highest rated regional banks from leading credit rating agencies including Standard &amp; Poor&rsquo;s (A), Moody&rsquo;s (Aa3) and Fitch (A+). The Bank has also been the recipient of many awards from leading international specialised financial publications.
 <br/>
 <br/>
 Based on the Group&rsquo;s consistent strong financial performance and its expanding international presence, QNB currently ranks as the most valuable bank brand in the Middle East and Africa, according to Brand Finance Magazine.
 <br/>
 <br/>
 QNB Group has an active community support program and sponsors various social, educational and sporting events.
 <br/>
 <br/>
 <strong>
  Job Summary
  <br/>
  <br/>
 </strong>
 The data scientist plays a crucial role in driving advanced analytics and AI initiatives across the bank. This role collaborates closely with business and operational leaders to provide expert support, leveraging data analytical and AI tools to deliver strategic insights and actionable recommendations. Through hypothesis-based analysis to machine learning (ML) projects and applying Large Language Models, the data scientist models complex business problems using a variety of techniques including Predictive or prescriptive analytics, deep learning, GenAI and visualization. Additionally, they support senior leadership by overseeing the development of business insights, reports, and AI capabilities to inform decision-making processes and drive impactful outcomes.
 <br/>
 <br/>
 Main Responsibilities
 <br/>
 <br/>
 <ul>
  <li>
   Shareholder &amp; Financial: - Implement Key Performance Indicators (KPIs) and monitor the performance of Data &amp; AI-driven solutions to measure their impact on business outcomes. - Promote cost consciousness and efficiency in Data Analytics and AI projects to minimize expenses and maximize returns. - Implement Key Risk Indicators (KRIs) and manage the Group&rsquo;s exposure to Data &amp; AI related risk effectively accordingly. - Coordinate and obtain approval from the EVP Data &amp; Analytics for projects and new systems that would impact capital or operating expenditures. - Take part in the overall QNB Data &amp; Analytics strategy execution. - Communicate comprehensive and cost-effective Data, Analytics &amp; AI solutions to user requirements keeping in mind the Group&rsquo;s budgets and targets while enhancing productivity, to minimise cost, avoid waste, and optimise benefits for the bank. - Promote cost consciousness and efficiency and enhance productivity, to minimise cost, avoid waste, and optimise benefits for the bank. - Act within the limits of the powers delegated to the incumbent.
  </li>
  <li>
   Customer (Internal &amp; External): - Collaborate closely with peers, key divisional stakeholders, and third-party support teams to identify and implement advanced data-driven and AI solutions that deliver substantial value for QNB and its customers. - Translate complex business needs into comprehensive data science and analytics requirements to support strategic business decision-making. - Provide strategic guidance regarding the potential and implementation of AI and data science within the organization. - Assist customers with thorough and insightful responses to their inquiries about the Bank&rsquo;s products and strive to provide innovative solutions to their requests. - Ensure activities are conducted in accordance with Service Level Agreements (SLAs) with internal departments and units to achieve significant improvements in turnaround times. - Build and maintain robust and effective relationships with related departments and units to achieve the Group&rsquo;s overarching objectives. - Provide precise and timely data to external and internal auditors, compliance teams, financial control, and risk management when required. - To assist customers in all their queries on Bank&rsquo;s product and seek solution to their requests. - Maintain activities in accordance with Service Level Agreements (SLAs) with internal departments/units to achieve improvements in turn-around time. - Build and maintain strong/effective relationships with related departments/units to achieve the Group&rsquo;s objectives. - Provide timely/accurate data to external/internal Auditors, Compliance, Financial Control and Risk when required.
  </li>
  <li>
   Internal (Processes, Products, Regulatory):
  </li>
  <li>
   Develop predictive models using a variety of advanced machine learning techniques to extract meaningful insights. - Research and implement cutting-edge techniques and tools in data analytics and artificial intelligence to streamline data analysis processes and enhance decision-making. - Identify and implement new statistical or mathematical methodologies as required for specific data-driven projects. - Build robust data-driven models to address complex business questions and employ large-scale experimentation, analysis, and visualization techniques to generate efficient and repeatable insights. - Integrate domain knowledge into AI solutions, such as leveraging financial risk data, customer journey analytics, quality predictions, and sales and marketing data. - Continuously monitor the performance and health of AI-driven models, ensuring high-quality outputs and efficiency. - Establish best practices for AI development and production infrastructure, including cloud computing, Spark, GPU utilization, and containerization. - Design and conduct analytics with the highest standards of model validation, accuracy, encompassing study design, methodology, algorithms, and statistical modelling.
  </li>
  <li>
   Learning &amp; Knowledge: - Ensure a comprehensive understanding of business requirements to deliver the most effective data, analytics, and AI solutions. - Possess detailed knowledge of system architecture and limitations to determine optimal problem-solving methods. - Understand user requirements and existing data structures to provide appropriate solutions by enhancing existing systems or implementing new ones. - Stay updated with methodologies, tools, and industry trends in machine learning, artificial intelligence, and data analytics. - Proactively identify areas for professional development in data science and undertake relevant development activities. - Seek out opportunities to stay current with advancements in AI and data analytics fields. - Initiate regular meetings within the Application Development department focused on discussing progress, resolving issues, and addressing concerns related to AI and data analytics projects.
  </li>
  <li>
   Legal, Regulatory, and Risk Framework Responsibilities: - Adhere to all pertinent legal, regulatory, and internal compliance requirements, including but not limited to policies on Data Protection, Fraud Control, and Anti-Money Laundering (AML) &amp; Counter-Terrorist Financing (CTF). - Understand and effectively perform your role within the Three Lines of Defence framework to identify, measure, monitor, manage, and report risks related to data, analytics, and AI projects. - Ensure optimal outcomes for clients in line with Conduct Risk policy by leveraging AI and analytics tools ethically and responsibly. - Support the Risk and Control Self-Assessment (RCSA), Key Risk Indicators (KRI), incident reporting, and remediation processes, as applicable, in accordance with Operational Risk Management guidelines specific to data and AI initiatives. - Complete all mandatory training provided by the organization to achieve and maintain the required levels of competence in data science, analytics, and AI fields. - Attend all required (internal and external) seminars and workshops, as instructed, to stay abreast of the latest advancements and best practices in data analytics and AI.
  </li>
  <li>
   Other: - Ensure high standards of data protection and confidentiality to safeguard all data and systems. - Maintaining utmost confidentiality concerning customer data and internal information obtained during the course of business and provide such information on a need-to-know basis only to Senior Management, Audit and Compliance functions, and relevant Regulators. - Maintain high professional standards to uphold the organization's reputation and to strengthen its leadership position in data analytics and AI. - All other ad hoc duties/activities related to data analytics and AI that management might request from time to time
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Education And Experience Requirements
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   University graduate preferably with a Major in computer science, data science, software engineering, information systems, or a related quantitative field.
  </li>
  <li>
   At least 10 years of relevant experience, preferably within a Data Scientist or related role.
  </li>
  <li>
   A PhD in statistics, ML, computer science or the natural sciences, especially physics or any engineering disciplines or equivalent, would be desirable.
  </li>
  <li>
   Candidates must have a specialization in ML, AI, cognitive science, or data science, with extensive hands-on experience in developing data science and AI solutions using machine learning, deep learning, and LLM techniques.
  </li>
  <li>
   Sound knowledge and implementation experience on LLM based solutions.
  </li>
  <li>
   Prior experience in banking is desirable
  </li>
  <li>
   Sound knowledge in cloud technologies ,Python and full stack engineering is must.
   <br/>
   <br/>
  </li>
 </ul>
 Note: you will be required to attach the following:
 <br/>
 <br/>
 <ul>
  <li>
   Resume/CV
  </li>
  <li>
   Copy of Passport or QID
  </li>
  <li>
   Copy of Education Certificate
  </li>
 </ul>
</div>


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