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

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Date: Oct 14, 2025

Location: Riyadh, SA

Company: PwC MiddleEast

Business Unit Description

Why PwC

 Established in the region for over 40 years, PwC Middle East employs over 10,000 people across 12 countries: Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Oman, Qatar, Saudi Arabia, Palestine and the United Arab Emirates. Complementing our depth of industry expertise and breadth of skills is our sound knowledge of local business environments across the Middle East region. Our tailored solutions help our clients meet the challenges and opportunities of doing business in the Middle East market, and beyond.



BU Description

PwC's Technology Consulting team in the GCC region is helping public and private sector clients improve customer and employee value through digital strategies and implementation. The team focuses on increasing customer engagement, providing employees with tools, and optimizing and digitizing operations. PwC emphasizes the need for purpose-led and values-driven leaders at all levels to stay relevant in a rapidly changing world. The company uses the PwC Professional framework to set expectations and develop skills necessary for career success.



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.

Additional Roles & Responsibilities

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 optimization, 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)