Digital and Cyber – Data and Cloud – Data and AI – Senior Manager

PwC Middle East; Riyadh; On-site; SAR 300,000 - 400,000; Full time

Job summary

A leading consulting firm in Riyadh is looking for a Senior Manager in Data and AI. Your role will involve leading teams to implement data solutions, focusing on cloud data architecture and data management. Candidates should have over 10 years of experience in data analytics and strong leadership skills. This position promises opportunities for growth in a collaborative and innovative environment.

Qualifications

• 10+ years of experience in data analytics or a related field.
• Strong understanding of modern cloud data architectures.
• Proven experience leading teams and projects in data solutions.

Responsibilities

• Lead engagements to design and develop data solutions.
• Advise stakeholders on technical issues and establish trust.
• Implement cloud data solutions aligned with business strategies.

Skills

Data management

Cloud data architectures

Data modeling techniques

SQL

Python

Education

Bachelor Degree

Tools

AWS

Azure

GCP

Tableau

Power BI

Job description

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.

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

A career in Data and AI is an opportunity to bring PwC’s strategy to life by driving digitization and technology into everything we deliver. Our clients expect us to bring the right people and the right technology to solve their biggest problems; Data and AI is here to help PwC meet that challenge and accelerate the growth of our business.

Roles & Responsibilities

As a Senior Manager, you’ll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

• Take action to ensure everyone has a voice, inviting opinion from all.
• Establish the root causes of issues and tackle them, rather than just the symptoms.
• Initiate open and honest coaching conversations at all levels.
• Move easily between big picture thinking and managing relevant detail.
• Develop specialized expertise in one or more areas.
• Advise stakeholders on relevant technical issues for their business area.
• Navigate the complexities of global teams and engagements.
• Build trust with teams and stakeholders through open and honest conversation.
• Uphold the firm’s code of ethics and business conduct.

Skills and Competencies

• A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. You’ll focus on aligning client data strategies to their business strategy. You will assist clients in choosing a platform, defining their data needs and migrating them to a modern cloud data environment using cloud providers such as Azure, Google Cloud Platform, Amazon Web Services, Snowflake, Databricks or Teradata. Your role will revolve around:
• Understanding and experience with modern cloud data architectures and engineering for one or more of the following cloud providers – AWS, Azure, GCP;
• Leading multiple engagements to design and develop data solutions using data modeling techniques (such as file based, normalized or denormalized, star schemas, schema on read, Vault data model, graphs) for mixed workloads, such as OLTP, OLAP, streaming using any formats (structured, semi‑structured, unstructured);
• Applying leadership and proven experience with architecting and designing data implementation patterns and engineered solutions using native cloud capabilities that span data ingestion & integration (ingress and egress), data storage (raw & cleansed), data prep & processing, master & reference data management, data virtualization & semantic layer, data consumption & visualization;
• Implementing cloud data solutions in the context of business applications, cost optimisation, client’s strategic needs and future growth goals as it relates to becoming a ‘data driven’ organization;
• Applying and creating leading practices that support high availability, scalable, process and storage intensive solutions architectures to data integration/migration, analytics and insights, AI and ML requirements;
• Applying leadership and review to create high quality detailed documentation related to cloud data architecture;
• Understanding of one or more is a big plus -CI/CD, cloud devops, containers (kubernetes/Docker, etc.), Python/PySpark/JavaScript;
• Implementing cloud data architecture and data integration patterns (AWS Glue, Azure Data Factory, Event Hub, Databricks, etc.), storage and processing (Redshift, Azure Synapse, BigQuery, Snowflake); Infrastructure as code (CloudFormation, Terraform)
• Implementing enterprise data concepts such as Master Data Management and Enterprise Data Warehouse, experience with MDM standards;
• Understanding of SQL, report generation using visualization tools such as Tableau/Power BI, programming using Python/Spark;
• Possessing a certification(s) in one of the following is a big plus – AWS/Azure/GCP data engineering; and,
• Leading data architecture team and leads in creation of cloud data migration/integration/warehouse plans, roadmap, success metrics, and assessment of client’s enterprise (on‑premise and on‑cloud) data systems.
  

Educational Qualifications & Certifications

Minimum Degree Required: Bachelor Degree
Minimum Years of Experience: 10 year(s)