Data and AI Manager-Arabic Speaker

Job Description

Manager / Senior Manager Data & AI Strategy and Transformation

Role Overview

We are seeking a highly experienced Data & AI Strategy Manager to drive enterprise-wide data and artificial intelligence initiatives for a large-scale digital transformation program. This role requires a unique blend of strategy consulting, AI transformation expertise, data governance leadership, and modern data platform knowledge.

The successful candidate will work closely with C-level executives across Technology, Finance, and Business units to define and operationalize the organization's Data & AI strategy, build governance structures, enable advanced analytics capabilities, and drive measurable business value.

This is a high-impact leadership role requiring strong executive communication skills, deep understanding of enterprise data ecosystems, and the ability to translate strategic vision into operational programs.

1. Enterprise Data & AI Strategy

• Define and evolve the enterprise Data & AI strategy, aligned with business priorities and digital transformation objectives.
• Develop multi-year AI and data roadmaps, identifying key use cases and value opportunities.
• Advise C-suite leaders on AI adoption, data monetization, and digital innovation strategies.
• Translate strategy into implementation programs, governance frameworks, and capability development plans.

1. AI Governance & Operationalization

• Design and implement AI governance frameworks including policies, standards, risk management, and responsible AI practices.
• Define operating models for AI lifecycle management, including model development, deployment, monitoring, and continuous improvement.
• Enable enterprise readiness for Agentic AI and emerging autonomous AI systems, ensuring alignment with security, compliance, and operational controls.
• Work with technology teams to embed AI capabilities into business processes and enterprise systems.

1. Data Governance & Data Management

• Lead the design and implementation of enterprise data governance frameworks.
• Define data operating models, including roles such as data owners, stewards, and governance councils.
• Develop and enforce data policies, standards, and quality frameworks.
• Drive enterprise adoption of Master Data Management (MDM) solutions, including experience with SAP Master Data Governance (SAP MDG).
• Ensure alignment between business processes, enterprise systems, and data standards.

1. Data & Analytics Enablement

• Drive adoption of enterprise analytics platforms to enable data-driven decision making.
• Lead development of Business Intelligence and advanced analytics capabilities.
• Guide teams in building scalable reporting and insights solutions using Power BI.
• Work with business stakeholders to define analytics use cases, KPIs, and performance dashboards.

1. Modern Data Platform & Engineering Collaboration

• Provide strategic oversight for modern data platform architectures, particularly within the Microsoft Azure ecosystem.
• Collaborate with engineering teams on:
• Data ingestion pipelines
• Data lake / lakehouse architectures
• Enterprise semantic models
• Scalable analytics platforms
• Support adoption of modern platforms such as Microsoft Fabric.
• Ensure alignment between data architecture, governance, and analytics requirements.

1. Executive Communication & Strategy Advisory

• Create and deliver high-impact C-level presentations to communicate strategy, transformation plans, and progress updates.
• Develop board-level materials on Data & AI transformation initiatives.
• Facilitate executive workshops and strategic decision-making sessions.

1. Program Leadership & Stakeholder Management

• Lead large-scale enterprise transformation programs spanning Data, AI, and Digital capabilities.
• Manage senior stakeholders across CIO, CFO, Data & Analytics leadership, and business units.
• Coordinate cross-functional teams including data engineers, data scientists, architects, and governance teams.
• Track program progress, manage risks, and ensure delivery of strategic outcomes.

Required Skills & Experience

• Strong background in strategy consulting or enterprise transformation programs.
• Proven ability to structure complex problems and communicate solutions clearly to executive audiences.
• Advanced skills in creating C-level presentations and strategic storytelling.

• Experience developing enterprise AI strategies and roadmaps.
• Understanding of AI governance, responsible AI, and model lifecycle management.
• Knowledge of Agentic AI concepts and emerging autonomous AI architectures.

• Deep expertise in enterprise data governance frameworks.
• Experience designing data operating models, policies, and stewardship frameworks.
• Hands-on experience with Master Data Management (MDM) programs.
• Experience with SAP Master Data Governance (SAP MDG) is highly desirable.

• Strong experience in enterprise analytics and business intelligence programs.
• Proficiency in Power BI including:
• Dashboard design
• Data modeling
• Enterprise reporting architecture

• Working knowledge of modern data architectures and data engineering pipelines.
• Experience with the Microsoft Azure data stack, including services such as:
• Azure Data Factory
• Azure Data Lake
• Synapse / Fabric
• Understanding of Microsoft Fabric and lakehouse architectures.

• Proven track record managing large enterprise programs and multi-disciplinary teams.
• Strong experience working with senior stakeholders (CIO, CFO, CDO, business leadership).
• Ability to operate effectively in complex organizational environments.

• Experience working in Agile delivery environments and supporting large transformation programs using Scrum or hybrid Agile methodologies.
• Ability to perform Scrum Master responsibilities, including facilitating sprint planning, stand-ups, retrospectives, and backlog prioritization in collaboration with product owners and delivery teams.
• Ensure alignment between strategic objectives and Agile execution, enabling cross-functional teams across data engineering, analytics, and AI to deliver incremental value.

• Experience in the Manufacturing industry or industrial sectors.
• Experience leading enterprise data transformation programs.
• Familiarity with ERP ecosystems such as SAP.
• Exposure to AI platforms, machine learning operations (MLOps), and automation technologies.

• Strategic thinker with strong business acumen
• Excellent executive communication and storytelling skills
• Ability to bridge strategy and execution
• Collaborative leader capable of working across business and technology domains
• Strong problem-solving and analytical mindset