ETIC, Data Governance, Manager

PricewaterhouseCoopers

Job Description & Summary

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Key Responsibilities

• Strategy and Operating Model

• Define a pragmatic data governance strategy aligned to client business outcomes.

• Establish governance operating models (councils, RACI, data owner/steward roles).

• Develop and maintain policies, standards, and procedures (quality, metadata, classification, access, retention).

• Metadata, Catalog, and Lineage

• Stand up and administer enterprise data catalogs and business glossaries.

• Identify and manage critical data elements (CDEs) and data domains with clear ownership.

• Drive metadata standards and automated lineage for impact analysis and change control.

• Data Quality Management

• Define data quality dimensions, rules, thresholds, and SLAs for priority datasets.

• Implement monitoring, alerting, and issue management; drive RCA and remediation.

• Partner with engineering to embed quality checks into pipelines and data contracts.

• Privacy, Security, and Compliance (Middle East focus)

• Implement data classification and handling standards; support privacy-by-design.

• Partner with Security/IAM on RBAC/ABAC, masking, encryption, and least-privilege access.

• Support compliance with regional and international regulations, such as:

• Egypt Personal Data Protection Law (Law 151/2020)

• KSA PDPL, UAE Data Protection Law, Bahrain PDPL, Qatar PDP Law

• GDPR/CPRA (as applicable to client operations)

• Sectoral requirements (e.g., SOX, PCI DSS, HIPAA where relevant)

• Advise on cross-border data transfer, residency, and sovereignty considerations.

• Lifecycle and Risk

• Define retention/disposal schedules, archival practices, and defensible disposition.

• Review new data sources, sharing agreements, and vendors for governance and risk impacts.

• Change Management and Adoption

• Lead governance councils and steward communities; drive accountability and adoption.

• Deliver communications, training, and data literacy programs to uplift capabilities.

• Reporting and KPIs

• Build governance scorecards covering DQ health, lineage coverage, glossary adoption, and policy compliance.

• Report progress and risks to client executives and audit/compliance stakeholders.

• Tools and Enablement

• Evaluate, implement, and manage governance tooling (catalog, DQ, lineage, MDM).

• Create playbooks, templates, and self-service guides to scale best practices.

• Consulting and Practice Development

• Contribute to proposals, SOWs, and solutioning; estimate effort and plan deliveries.

• Coach junior team members; contribute to accelerators and thought leadership.