Data & AI Strategy Consultant

Accenture Middle East; Riyadh; Hybrid; SAR 300,000 - 550,000; Full time

Job summary

Accenture Middle East is seeking a Data & AI Strategy Consultant to help clients define and execute AI transformations that drive growth and innovation.

You will assess capabilities, design future AI operating models, and create actionable roadmaps enabling AI-first enterprises across industries.

Qualifications

• 4-7 years in Data & AI Strategy or related advisory roles.
• Experience shaping transformation roadmaps and business cases.
• Knowledge of data governance, Responsible AI, and operating models.
• Ability to translate business goals into AI/ data strategy actions.

Responsibilities

• Shape AI visions and data strategies to transform businesses.
• Develop target-state AI operating models and roadmaps.
• Create governance, processes, and ways of working for AI programs.
• Build business cases and investment strategies for data initiatives.
• Engage executives and guide AI-enabled business reinvention.

Skills

Data & AI Strategy

Technology Consulting

Strategic Planning

Stakeholder Management

AI Governance

Education

MBA

Master's degree in Strategy / Data / AI / Cloud

Tools

Azure

AWS

Google Cloud

Job description

Role Overview

As a Data & AI Strategy Consultant, you will help organizations define and execute their data and AI transformation strategies to drive business growth, innovation, and competitive advantage. You will assess current capabilities, develop future-state AI operating models, and create actionable roadmaps that enable organizations to become AI-first enterprises. This role requires a combination of business strategy, technology vision, and AI transformation expertise to help clients unlock value from data and AI investments.

Key Responsibilities

• Shape enterprise data and AI visions that drive business transformation, innovation, and sustainable competitive advantage.
• Assess organizational maturity across data, analytics, AI capabilities, operating models, and governance frameworks.
• Define enterprise data and AI strategies that optimize data assets, AI technologies, and digital capabilities to support business objectives.
• Develop target-state AI-first operating models, including organizational structures, processes, governance, and ways of working.
• Create AI platform and technology blueprints that enable scalable, secure, and responsible AI adoption.
• Develop business cases, investment strategies, value realization frameworks, and transformation roadmaps for data and AI initiatives.
• Embed Responsible AI principles into strategic planning, governance frameworks, and enterprise transformation programs.
• Identify the people, processes, and technologies required to scale and operationalize AI solutions across the organization.
• Define ecosystem and partnership strategies to accelerate AI innovation and business value realization.
• Facilitate executive stakeholder discussions and provide strategic guidance on AI-enabled business reinvention.
• Develop AI-first product strategies and identify commercialization opportunities for AI-enabled products and services.
• Promote a culture of innovation, experimentation, and continuous learning to support long-term AI transformation.

Basic Qualifications

• 4-7 years of experience in Data & AI Strategy, Technology Consulting, Digital Transformation, Data Management, or related advisory roles.
• Experience developing business, data, analytics, or AI transformation strategies for enterprise organizations.
• Strong understanding of AI, Generative AI, data platforms, analytics, and emerging technology trends.
• Experience assessing organizational maturity and developing transformation roadmaps.
• Knowledge of data governance, AI governance, Responsible AI, and operating model design.
• Strong business case development, strategic planning, and stakeholder management skills.
• Ability to translate business objectives into actionable data and AI strategies.

Preferred Qualifications

• Experience supporting enterprise-wide Data & AI transformation programs.
• Understanding of AI operating models, AI Centers of Excellence (CoE), and organizational change management.
• Familiarity with cloud-based data and AI platforms such as Azure, AWS, or Google Cloud.
• Experience with AI product strategy, innovation programs, and commercialization initiatives.
• Knowledge of data monetization, digital products, and AI-driven business models.
• Strong executive communication, presentation, and consulting skills.
• MBA, Master's degree, or relevant certifications in Strategy, Data, AI, or Cloud Technologies are preferred.