D&C - Digital Strategy and Realisation - AI Strategy

Why PwC

At PwC, your growth is our priority. We fuel potential through coaching, feedback, and challenging work that helps you build a career path as unique as you are. You’re not just joining a team—you’re becoming part of a movement that’s shaping the future. Here, you can be yourself, work with purpose and boldness, and collaborate with talented people to deliver solutions that create real impact for clients and communities. Powered by inclusive teams, cutting-edge technology, and truly meaningful work, you’ll find endless opportunities to grow, lead, and go further.
Together, we set the future in motion.

Consulting LoS

At PwC Consulting, we lead with insight and deliver with purpose. You’ll work alongside experts across industries to design and deliver forward-looking solutions in areas such as strategy and enterprise transformation, operational excellence, digital innovation, cyber resilience, and risk management. Our reimagined operating model brings together sector-aligned, solution-led teams empowered to move fast, think boldly, and create real impact. Whether transforming finance, enabling digital change, or shaping national visions, you’ll be part of a collaborative, forward-thinking community—built to grow with you and the world around us.

BU Description 

The Digital & Cyber Business Unit brings together deep technology expertise and bold thinking to help organizations thrive in a connected, data-driven world. We support clients in reimagining how they operate, serve, and grow—by harnessing the power of digital products, emerging tech, cloud, data, and cyber resilience.

Whether shaping enterprise-wide transformation or enabling targeted innovation, we work at the intersection of strategy, technology, and trust—delivering scalable solutions that empower clients to move faster, think smarter, and lead with confidence.

Job Summary

We are seeking an experienced and visionary AI Strategy expert to lead engagements that define and deliver impactful artificial intelligence strategies, both at national and enterprise levels. The ideal candidate will possess deep expertise in AI, machine learning, and generative AI (GenAI), along with a strong grasp of business strategy, data ecosystems, and emerging technology governance. 

This role requires an individual who can bridge the gap between strategic ambition and technological execution. The successful candidate will have the ability to: 

• Formulate national AI visions and strategies, shaping policy, capability building, and innovation ecosystems; and
• Design enterprise AI operating models and roadmaps, driving adoption across functions and value chains. 

The role involves working closely with senior executives and public sector leaders to translate AI potential into measurable impact, advising on operating models, governance frameworks, talent strategies, and data and technology foundations required to enable AI at scale. 

The candidate should have strong interpersonal skills, who not only enjoys the challenge of working with other team members but externally with a diverse set of stakeholders. Recent experience and understanding of the ME business ecosystem and government initiatives is preferred. 

The candidate will be required to showcase excellent communication skills and should have demonstrated consistently the skill and capability in leading and delivering impactful and insightful projects in the past. They will also be expected to contribute to Practice or Firm development. This may be judged in various ways such as serving as a mentor to other team members, by leading training/development initiatives, contributing to thought leadership papers, assisting other network firms etc. 

Roles & Responsibilities

• AI Vision and Strategy Development: Lead the design and delivery of AI strategies at national and enterprise levels, defining vision, strategic pillars, enablers, and measurable outcomes aligned with broader transformation goals and wider strategies. 
• National AI Governance and Policy Design: Support governments and regulators in shaping national AI governance frameworks, data-sharing ecosystems, and ethical AI principles that drive innovation, competitiveness, and societal value. 
• Enterprise AI Adoption: Guide large organizations in embedding AI within business operations, functions, and customer interactions. Identify priority use cases, assess readiness, and design scalable AI transformation journeys. 
• AI Operating Model Design: Develop end-to-end AI operating models covering governance, organization design, skills development, infrastructure, data and technology, and vendor ecosystems. 
• Generative AI & Emerging Technologies: Advise clients on the evolving GenAI landscape, including large language models, automation, and advanced analytics. Identify practical, high-impact use cases and evaluate feasibility, governance, and ethical considerations. 
• AI Roadmap & Transformation Planning: Design structured AI roadmaps that translate vision into action, balancing short-term value creation with long-term capability building and sustainable adoption. 
• Business Case Development & Value Realization: Build robust AI business cases with detailed financial analysis, ROI assessment, and risk evaluation. Quantify economic, operational, and innovation benefits of AI initiatives. 
• Governance, Risk & Responsible AI: Design and implement responsible AI frameworks that address fairness, transparency, bias mitigation, data privacy, and regulatory alignment, ensuring responsible and trustworthy AI use. 
• Data and Technology Enablement: Collaborate with data and technology teams to define the enablers for AI adoption, including data management, model lifecycle governance, MLOps, and cloud / infrastructure strategy. 
• Stakeholder Engagement & Communication: Partner with C-suite executives, policymakers, and senior stakeholders to facilitate strategic discussions and workshops. Communicate complex AI concepts with clarity and authority. 
• Project & Team Leadership: Lead diverse, multidisciplinary teams in delivering high-quality engagements. Ensure excellence in project management, execution, and stakeholder satisfaction. 
• Thought Leadership & Practice Development: Contribute to PwC’s AI thought leadership, market positioning, and capability development. Mentor team members and actively shape the growth of the AI Strategy capability. 

Additional Roles & Responsibilities

• The candidate should possess post-qualification relevant work experience of at least 7 years of working in a Consulting firm. 
• Digital Proven experience in designing AI strategies, AI operating models, and AI transformation roadmaps for government and enterprise clients. 
• Strong understanding of AI technologies, data ecosystems, and GenAI models, with the ability to assess feasibility and impact. 
• Demonstrated ability to develop and quantify AI business cases and ROI. 
• Familiarity with national AI policies, global AI governance and responsible AI trends, and public-private innovation frameworks. 
• Proven experience leading cross-functional teams and delivering high-quality multi-stakeholder consulting engagements under tight timelines.  

Educational Qualifications & Certifications