cognitive ai project manager

Arab Solutions

<div>
 
 Job Title:
 
 Cognitive AI Project Manager
 
 
 
 Job Description
 
 
 
 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.
 
 
 
 Duties And Responsibilities
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 Skills &amp; Abilities
 
 
 
 <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.
 
 
 </li>
 </ul>
 
 Potential Background
 
 
 
 <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>
 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>
 
 
 Job Purpose:
 
 
 
 
 
 
 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.
 
 
 
 
 
 
 Qualifications &amp; Experience:
 
 
 
 
 
 <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>
 
 
 
 
 
 Skills &amp; Abilities:
 
 
 
 
 
 <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>
 
 
 
 
 
 Tools:
 
 
 
 
 
 <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>
 
 
</div>

PROZ TECHNOLOGIES

Hello, Greetings from Proztec Qatar! I hope everything is going well with you.JOB DESCRIPTIONThe 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.DUTIES &amp; RESPONSIBILITIES<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>Support procurement/commercial governance: align delivery artefacts to contract schedules, SLAs, and service support obligations.SKILLS &amp; ABILITIES<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>POTENTIAL BACKGROUND<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>PREFERRED TOOLS<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>SOFT SKILLS<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>Job Type: PermanentPay: Up to QAR18,000.00 per monthWork Location: In person

<div>
 
 Job Title:
 
 Cognitive AI Product Manager
 
 
 
 Job Description
 
 
 
 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.
 
 
 
 Duties And Responsibilities
 
 
 
 <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>
 
 Skills &amp; Abilities
 
 
 
 <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>
 
 Potential Background
 
 
 
 <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>
 Skills: rag/kb,scope control,multicloud,governance,ai/ml,sis,sdks,cloud,documentation,stakeholder,data,slas/olas,analytics
</div>

Cognitive AI Product Manager

JOB DESCRIPTIONThe 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.DUTIES &amp; RESPONSIBILITIES<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>SKILLS &amp; ABILITIES<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>POTENTIAL BACKGROUND<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>PREFERRED TOOLS / SOFT SKILLS<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>Soft skills<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>Job Type: PermanentPay: Up to QAR23,000.00 per monthWork Location: In person

Linnk Group

<div>
 
 Greeting from Linnk Group&hellip;.
 
 
 
 
 
 
 
 Job Title:
 
 Cognitive AI Product Owner
 
 
 
 Location:
 
 Doha, Qatar
 
 
 
 Contract:
 
 12 Months Renewable
 
 
 
 
 
 
 Role Overview
 
 
 
 We are seeking a
 
 Cognitive AI Product Owner
 
 to lead the vision, roadmap, and delivery of secure, scalable, multi-tenant Cognitive AI platform services for ministries and government entities. This role will shape the AI product strategy, orchestrate multi‑vendor delivery, and ensure the platform meets performance, security, and compliance standards while driving adoption and continuous improvement.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Define the Cognitive AI product vision, value proposition, and long-term roadmap.
 </li>
 <li>
 Convert stakeholder requirements into clear epics, features, and measurable user stories.
 </li>
 <li>
 Prioritize AI platform components: inference, RAG/knowledge base, fine‑tuning, agentic/MCP, observability, analytics, multitenancy, and multicloud.
 </li>
 <li>
 Manage multi-vendor workstreams, including scope, dependencies, milestones, and KPI/SLO‑based acceptance.
 </li>
 <li>
 Define service catalog tiers/SKUs, onboarding flows, pricing inputs, SLAs/OLAs.
 </li>
 <li>
 Drive governance with architecture, security, and privacy teams, including model approvals and data‑boundary policies.
 </li>
 <li>
 Implement product analytics (e.g., PostHog) for adoption, funnel insights, retention, and developer productivity.
 </li>
 </ul>
 
 
 
 
 
 Required skills and Qualifications
 
 
 <ul>
 <li>
 Strong product management experience with platforms, APIs, and multi‑tenant cloud services.
 </li>
 <li>
 Solid understanding of AI platforms (inference, RAG, fine‑tuning, guardrails, governance).
 </li>
 <li>
 Ability to define and manage KPIs/SLOs and outcome-based delivery.
 </li>
 <li>
 Excellent stakeholder management across technical, commercial, legal, and operations teams.
 </li>
 <li>
 Strong prioritization, decision‑making, and cross‑vendor coordination skills.
 </li>
 <li>
 Clear communicator with strong executive and technical storytelling.
 </li>
 <li>
 8+ years in product management for cloud, platform, AI/ML, or data products in enterprise/government/telco environments.
 </li>
 <li>
 Delivered API-based products and developer platforms with self‑service onboarding.
 </li>
 <li>
 Experience managing multi-vendor delivery and contract-based KPIs.
 </li>
 <li>
 Familiarity with security, privacy, and data governance in regulated environments.
 </li>
 <li>
 Knowledge of cloud-native/Kubernetes and multicloud architectures.
 </li>
 <li>
 Experience with AI-enabled product launches (assistants, RAG, analytics, governance) is a strong plus.
 </li>
 <li>
 
 Product delivery:
 
 Azure DevOps, Aha!, Jira Product Discovery
 </li>
 <li>
 
 Analytics:
 
 PostHog, Power BI
 </li>
 <li>
 
 API artifacts:
 
 Swagger/OpenAPI, Postman, Backstage/ReadMe
 </li>
 <li>
 
 Collaboration:
 
 Miro, Figma, MS Teams
 </li>
 </ul>
 
 
</div>

Cognitive AI Product Owner

<div>
 
 
 Job Purpose:
 
 
 
 
 
 
 The Cognitive AI Product Manager owns the vision, roadmap, and delivery outcomes, ensuring they are delivered as scalable, secure, multi-tenant platform services consumed by customers. 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.
 
 
 
 
 
 
 Qualifications &amp; Experience:
 
 
 
 
 
 <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>
 
 
 
 
 
 Skills &amp; Abilities:
 
 
 
 
 
 <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>
 
 
 
 
 
 Tools:
 
 
 
 
 
 <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>
 
 
</div>

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