Manager-Advisor AI

Confidential Company; Doha; On-site; QAR 350,000 - 600,000; Full time

Job summary

Confidential Company seeks an experienced Strategic AI Leader to work with senior executives on prioritizing AI initiatives, building enterprise roadmaps, and driving transformations. You will assess challenges, design architectures, and oversee pilots to scale AI across functions.

The role requires strong storytelling with stakeholders, a commercial mindset, and the ability to move quickly from strategy to execution in a complex enterprise environment.

Qualifications

• 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.
• Executive presence and strong communication skills.
• Commercial mindset with delivery discipline.
• Able to operate independently and at pace.

Responsibilities

• Strategize AI priorities with executive leadership and develop enterprise AI roadmaps.
• Identify organizational challenges and high-value AI use cases with ROI justifications.
• Lead end-to-end solution design including data models, governance, and integrations.
• Direct delivery programs: pilots, PoCs, production deployments, scaling, and governance.

Skills

AI strategy

Executive communication

Stakeholder management

Delivery leadership

Commercial mindset

Tools

Azure

AWS

GCP

NVIDIA ecosystem

Job description

Strategic Advisory: Partner closely with the 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.

Qualifications

• 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.
• Executive presence and strong communication skills.
• Commercial mindset with delivery discipline.
• Able to operate independently and at pace.
• Comfortable working across strategy and execution.

Technical Capability

• 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.
• 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.