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Manager - AI Advisor

Job in Doha, Baladīyat ad Dawḩah, Qatar
Listing for: Malomatia
Full Time position
Listed on 2026-08-01
Job specializations:
  • IT/Tech
    AI Business & Operations, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 350000 - 600000 QAR Yearly QAR 350000.00 600000.00 YEAR
Job Description & How to Apply Below

ROLE

SUMMARY:

This role will operate in close coordination with the Secretary General, serving as a trusted advisor and execution partner on strategic AI priorities across NPC and CGB. The successful candidate will work closely with senior leadership, business stakeholders, and delivery teams to identify opportunities, shape solutions, and ensure effective implementation.

We are seeking a senior AI leader with strong strategic, commercial, and technical capability to help drive enterprise AI transformation. The individual must be able to move seamlessly between executive discussions and hands-on delivery, translating strategic objectives into practical AI initiatives that generate measurable impact.

This is a high-trust role requiring judgment, discretion, pace, and the ability to lead cross-functional initiatives from concept through execution.

ROLES & RESPONSIBILITIES:
Strategic Strategic Advisory
  • Partner closely with the Secretary General and executive leadership on AI priorities.
  • Assess organizational challenges and identify areas where AI can improve performance, efficiency, service quality, or growth.
  • Develop enterprise AI roadmaps and transformation plans.
  • Provide market insight on emerging AI capabilities and relevant use cases.
Opportunity Identification & Business Value Creation
  • Evaluate use cases across corporate functions, operations, customer services, analytics, and productivity.
  • Prioritize opportunities based on value, feasibility, speed, and readiness.
  • Build business cases with expected ROI, cost, risk, and implementation requirements.
Solution Design & Architecture
  • Lead end-to-end design of AI solutions including data, models, workflows, governance, and integrations.
  • Architect solutions using cloud, hybrid, or on-premise environments.
  • Design GenAI, copilots, RAG, workflow automation, and agent-based solutions.
  • Recommend suitable technologies and vendors based on business requirements.
Delivery Leadership
  • Convert approved initiatives into structured execution plans.
  • Coordinate internal teams, vendors, and stakeholders to ensure timely delivery.
  • Oversee pilots, proofs of concept, production deployments, and scaling.
  • Track progress, resolve blockers, and maintain delivery momentum.
Governance & Capability Building
  • Support responsible AI adoption, controls, security, and risk management.
  • Establish KPIs, dashboards, and value-tracking mechanisms.
  • Build internal awareness and capability through workshops and leadership sessions.
Operational Success Measures
  • Clear AI roadmap established and actively executed.
  • High-value opportunities identified and converted into live initiatives.
  • Tangible efficiency, service, or revenue improvements delivered.
  • Strong leadership alignment and confidence in AI direction.
  • Sustainable internal AI capability developed across NPC and CGB.
JOB SPECIFICATIONS:

Desired Educational Background: MASTER IN BUSINESS INTELLIGENCE

Language Requirement:
English, Arabic (preferred)

Desired

Experience:
  • 7+ years in AI, digital transformation, consulting, or enterprise technology leadership.
  • Strong recent experience in AI, GenAI, analytics, or automation programs.
  • Demonstrated experience working directly with senior executives.
  • Proven record delivering strategic initiatives with measurable business impact.
  • Experience managing complex stakeholder environments.
Job Specific Skills
  • Identifying high-value AI opportunities across NPC and CGB.
  • Advising leadership on AI strategy, priorities, and investment decisions.
  • Designing scalable AI and automation solutions aligned to business needs.
  • Leading implementation with internal teams and external partners.
  • Ensuring delivery of measurable outcomes and long-term capability building.
Competencies:

Technical
  • Strong understanding of LLMs, RAG, copilots, AI agents, analytics, and automation.
  • Familiarity with Azure, AWS, GCP, NVIDIA ecosystem, and modern AI platforms.
  • Knowledge of enterprise architecture, integrations, APIs, data platforms, and security.
Behavioral
  • Executive presence and strong communication skills.
  • Highly trusted, discreet, and dependable.
  • Commercial mindset with delivery discipline.
  • Able to operate independently and at pace.
  • Comfortable working across strategy and execution.
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