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FY27 - Consulting - D&C - DSR - AI Strategy - Manager (Riyadh, SA) @ PRICE WATERHOUSECOOPERS

Riyadh, Riyadh Region, SAOnsiteFull-time
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About this role

About Us

With offices in 152 countries and nearly 328,000 professionals, we are one of the world’s leading professional services networks, helping organisations and individuals create lasting value through Assurance, Tax and Advisory services. For over 40 years, we have contributed to the Middle East’s transformation journey, partnering with governments and businesses to deliver sustainable solutions. Today, more than 12,000 of us across Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Oman, Palestine, Qatar, Saudi Arabia and the UAE are shaping the region’s future.

Line of Service Overview At PwC Consulting, you’ll shape strategies that redefine industries and drive national visions. We partner with leaders to deliver transformative solutions in enterprise strategy, digital innovation, operational excellence, cyber resilience, and risk management. Join a community that values bold thinking, collaboration, and measurable impact—where your expertise accelerates change and creates lasting value. Business Unit Overview 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.

  • How You’ll Contribute As a Manager within Digital Strategy and Realisation, you’ll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution.
  • Responsibilities include but are not limited to: AI Strategy Research & Analysis: Conduct structured research, benchmarking, and analysis to support national and enterprise AI strategies.
  • Help assess strategic context, value pools, maturity, capabilities, market trends, and transformation priorities.
  • National AI Policy, Ecosystem & Sovereignty: Support analysis of national AI policies, governance approaches, innovation ecosystems, data-sharing models, and AI sovereignty considerations across compute, cloud, models, data, talent, and strategic partnerships.
  • Enterprise AI Transformation & Use Cases: Support the identification and prioritization of AI opportunities across functions, customer journeys, and decision processes.
  • Map pain points, value drivers, process steps, and opportunities for collaboration between people, copilots, and AI agents.
  • AI Operating Model, CoE / AI Office Support: Contribute to the design and assessment of AI operating models, governance structures, organization roles, portfolio processes, funding mechanisms, capability requirements, AI product ownership, and vendor / hyperscaler ecosystems.
  • Generative AI, Agentic AI & Emerging Models: Research and assess the evolving AI landscape, including foundation models, multimodal and reasoning models, retrieval-augmented generation (RAG), AI agents, orchestration, tool use, and open-weight versus proprietary model options.
  • Translate technical developments into clear business implications.
  • AI Use Case Design, Prototyping & Evaluation: Support use-case discovery, prioritization, functional design, rapid prototyping, pilot execution, and evaluation.
  • Help define success metrics, user requirements, quality criteria, production-readiness considerations, and scaling pathways.
  • AI Roadmap & Portfolio Planning: Support the development of AI roadmaps by sequencing initiatives, dependencies, capabilities, investment needs, quick wins, and longer-term transformation priorities.
  • Maintain structured initiative portfolios and progress views.
  • Business Case, AI Economics & Value Analysis: Develop quantitative and qualitative analysis for AI business cases, including productivity, quality, revenue, cost, risk, workforce impacts, total cost of ownership, platform / model / compute economics, and benefits realization measures.
  • Responsible AI, Governance & Regulatory Analysis: Support the development and application of Responsible AI and risk-based governance frameworks covering accountability, fairness, transparency, explainability, privacy, intellectual property, human oversight, content provenance, model / agent risk classification, and regulatory requirements.
  • What You’ll Bring Educational Background: A bachelor's degree in a relevant field such as Computer Science, Engineering, Information Technology, Data Science, Business, Economics, or a related discipline.
  • Candidates from other academic backgrounds may be considered where they demonstrate strong analytical capability and relevant exposure to technology, data, digital, or AI.
  • Certifications: Foundational or practitioner certifications in AI / ML / GenAI, cloud AI platforms, data analytics, Responsible AI, AI governance, or related fields are an advantage.
  • Evidence of practical self-learning, project work, or relevant technical coursework is also valued.
  • Bilingual Communication: Fluency in spoken and written English and Arabic is highly desirable to communicate effectively with diverse stakeholders across the Middle East region.

Relevant Experience: Up to 3 years of relevant experience in consulting, AI / data / digital strategy, technology, analytics, research, or a related field. Strong graduates with relevant internships, academic projects, certifications, or demonstrable AI experience are encouraged to apply. AI Strategy & Transformation Exposure: Exposure through professional work, internships, university projects, research, or extracurricular activities to AI strategy, digital transformation, data strategy, operating models, technology assessment, or business transformation is desirable.

Contemporary AI Technical Fluency: Good understanding of foundation models, GenAI, RAG, multimodal and reasoning models, AI agents and orchestration, model selection, cloud AI platforms, and the basic concepts of MLOps / LLMOps / AgentOps. The role does not require a primary engineering profile, but candidates should be comfortable learning technical concepts quickly. Research, Analysis & Problem Solving: Strong ability to structure ambiguous problems, conduct desk research and benchmarking, analyze quantitative and qualitative information, identify insights, and synthesize findings into clear recommendations.

Business Case & Quantitative Analysis: Ability to work with data and develop structured analysis using tools such as Excel and PowerPoint. Exposure to financial modelling, ROI analysis, data visualization, or benefits tracking is an advantage. Responsible AI & Governance Awareness: Familiarity with Responsible AI, AI governance, privacy, model risk, security, and regulatory considerations is desirable, including an interest in how governance needs evolve for GenAI and agentic systems.

Hands-on AI & Data Tools: Practical experience using GenAI tools for research, analysis, prototyping, or productivity is expected. Exposure to Python, SQL, APIs, data analysis tools, prompt design, low-code AI platforms, or cloud AI services is an advantage. Client Delivery & Communication: Ability to prepare clear written outputs and presentations, work collaboratively in project teams, manage assigned tasks to deadlines, and participate effectively in client interviews, workshops, and working sessions.

Middle East & National AI Awareness: Interest in the Middle East technology landscape, government digital agendas, national AI strategies, regulation, innovation ecosystems, and public-sector transformation is an advantage. How You’ll Make a Difference At PwC Midde East, we expect all our people to embody the skills and behaviours of The PwC Professional framework, helping us deliver on our strategy while growing and developing as leaders at every level. Why You’ll Love Working at PwC At PwC Middle East, you’ll find more than just a job - you’ll build a meaningful career, supported by rewards and benefits that help you thrive.

We offer competitive pay, comprehensive benefits, and programs that promote well-being, balance, and personal growth. You’ll have access to continuous learning, digital upskilling, and a collaborative environment that values innovation, mentorship, and diversity. Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially here. Discover more about Life at PwC Middle East.

Skills

artificial intelligence strategyartificial intelligence governanceAI operating modelsgenerative artificial intelligenceagentic artificial intelligenceRAGAI agentsAI roadmapAI economicsResponsible AIData analysisArabic

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