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Consulting – Digital & Cyber – Digital Solutions & Engineering – Manager

Job in Riyadh, Riyadh Region, Saudi Arabia
Listing for: PwC Middle East
Full Time position
Listed on 2026-05-19
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Cloud Computing
Salary/Wage Range or Industry Benchmark: 200000 - 300000 SAR Yearly SAR 200000.00 300000.00 YEAR
Job Description & How to Apply Below

Established in the region for 40 years, PwC has around 12,000 people in 12 countries across the region:
Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Oman, the Palestinian territories, Qatar, Saudi Arabia and the United Arab Emirates.

Our regional team operates across the Middle East bringing international experience delivered within the context of the region and its culture. We can bring the collective knowledge and experience of more than 370,000 people across the entire global PwC network in advisory, assurance and tax to help you find the value you are looking for.

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 part of the Data & Cloud Solution, 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:

  • Project Management:
    Lead the execution of data and cloud projects, ensuring scope, timelines, and quality benchmarks are met.
  • Solution Design:
    Support the development of cloud-native architectures and analytics platforms tailored to client needs.
  • People and Delivery:
    Mentor team members and coordinate with clients to deliver consistent, data-driven outcomes.
What You’ll Bring
  • 8+ years of experience in software engineering, including 4+ years in a leadership or management role, driving delivery of complex AI and data-driven projects.
  • Proven track record in leading AI/ML engineering teams, overseeing end-to-end solution design, development, and deployment within agile, multidisciplinary environments.
  • Strong understanding of AI/ML technologies and architectures, with the ability to apply them to real-world business challenges across industries such as financial services, retail, and technology.
  • Proficiency in programming languages such as Python and SQL, and familiarity with cloud-based analytics platforms (e.g., Microsoft Azure, Google Cloud Platform, AWS) and modern MLOps practices.
  • Experience with agentic frameworks such as Auto Gen, Lang Graph, CrewAI, Agents SDK etc.
  • Skilled in selecting algorithms and training classical ML or deep learning models.
  • Confident in client-facing settings, with the ability to understand business needs, frame opportunities, and translate them into effective, scalable technology solutions.
  • Demonstrated leadership and team-building capability, fostering collaboration, growth, and delivery excellence in diverse, cross-functional teams.
  • Genuine passion for AI/ML innovation, with fluency in collaborating with Data Scientists, ML Engineers, and Solution Architects to deliver impactful outcomes.
  • Drive client…
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