As a Data GovernanceManager, you willbe responsible forimplementing andmaintainingdata governance policies and practices that ensure the integrity, security, and usability of data assets across the organization. Your role will be vital in fostering a culture of accountability and transparency in data management while collaborating with various teams to support the firm’s commitment to quality, responsible digitization, and ethicaloperations.You will align closely with DAMA-DMBOKbest practices, drive regulatory compliance, uplift data quality, and enable trusted, innovative analytics.

Culture Vision Statement:

Our Africa Tech and Digital team is a dynamic community of self-starters and innovators who embrace change and the constant evolution of technology. We are committed to fostering an environment where curiosity thrives and creativity is celebrated. ByleveragingAI-assisted tools and respecting diverse perspectives, we drive collaborative success while enhancing our collective knowledge and skills. We believe in the power of technology to transform and improve our processes, alwaysseekingto challenge the status quo. Together, we work with urgency and empathy, united in our mission to create impactful solutions thatbenefitour firm and our clients.

Key Responsibilities:

1. Data Governance Implementation:

• Develop and implement data governance policies, procedures, and standards to ensure data quality, integrity, and compliance with legal and regulatory requirements.

• Monitor adherence to governance policies across the organization, promoting accountability among data stakeholders.

• Assistwithestablishingandrunthe governance operating model: councils/committees, stewardship community, RACI, policy lifecycle,standardsand control library.

• Track governance OKRs/KPIs; perform maturity assessments and periodic control effectiveness reviews.

2. Data Quality Assurance:

• Collaborate with data owners and stewards to define data quality metrics and implement processes tomonitorand improve data quality.

• Conduct data quality assessments and audits toidentifydata issues, providing actionable recommendations for remediation.

3. Collaboration and Stakeholder Engagement:

• Work closely with cross-functional teams, including Data Architects, Data Analysts, and business units, to align data governance practices with strategicobjectives

• Act as a liaison between technical and non-technical stakeholders tofacilitateeffective communication and understanding of data governance principles.

4. Training and Awareness:

• Develop training materials and conduct workshops to educate staff on datagovernancebest practices, roles, and responsibilities within the data management framework.

• Promote awareness of data governance initiatives across the organization to foster a culture of data stewardship and accountability.

5.Change leadership and delivery:

• Lead complex, multi-workstream governance implementations; manage scope, budget,riskand stakeholders; integrate change management and training/adoption plans.

• Coach and develop Data Stewards, BAs and Engineersand other relevant stakeholders; build internal capability and reusable accelerators.

6 Data Stewardship Support:

• Support data stewards in managing andmaintainingdata definitions, lineage, and metadata to ensure that the organization's data isaccurateand well-documented.

• Assistin the development and maintenance of a comprehensive data catalog to improve data accessibility and usability.

7 Regulatory Compliance:

• Stay informed about relevant data protection regulations and industry standards, ensuring that data governance frameworks continuously align with compliance requirements.

• Assistin audits and assessments related to data governance and compliance, providing insights and supporting corrective actions.

8 Continuous Improvement:

• Identifyopportunities to enhance data governance processes, tools, and techniques, leveraginginnovative approaches to improve overall data management strategies.

• Contribute to ongoing assessments of the effectiveness of data governance practices, proposing adjustments based on industrytrendsand organizational needs.

9 Documentation and Reporting:

• Maintaincomprehensive documentation related to data governance policies, processes, and controls, ensuring clarity and ease of access for stakeholders.

• Assistwith definingenterprise policies and standards for data classification, ownership/accountability, critical data elements (CDEs), metadata and lineage, data quality, access and entitlements, retention/disposal, datasharingand third-party data risk.

• Mapcontrols toregulations and frameworks (GDPR,POPIA) HIPAA, PCI DSS/SOX as applicable.

• Assistwith establishingMDM policies and processes (match/merge, survivorship, golden records) withappropriate stewardshipand data domain ownership.

• Prepare and present reports to management on data governance initiatives, compliance status, and recommendations for improvement.

Qualificationsand Skills

Education:

• Bachelor degree in Information Technology, Data Science, Business Administration, orequivalent experience.

• Certificationsin data governance (e.g., DAMA Certified Data Management Professional)If not currently certified, willingness to obtain within 12 months.

• Experience: Minimum of5-10years of experience in data governance, data quality management, or related roles within a complex organizational environment.

Technical Skills:

• Strong understanding of data governance frameworks, data quality principles, and best practices.

• Proficientin data management tools and technologies, with experience in data modeling, metadata management, and data profiling.

• Hands-on implementation experience with governance tools (catalog, glossary, lineage, stewardship workflows).

• Strong data quality,metadataand MDM governance experience.

• Solid knowledge of data privacy/security regulations (GDPR, POPIA) and AI governance frameworks.

• Working knowledge of BI and analytics toolssuch asPower BI.

• Governance design:Policy/control design,RACIand stewardship.

• Technical depth: DQ/MDM, access/entitlements.

Soft Skills:

• Excellent communication and interpersonal skills, with the ability to engage effectively with diverse stakeholders.

• Analytical anddetail-orientedmindset, with a proactive approach to problemsolving and decisionmaking.

• Excellent stakeholder management and communication skills; able to influence C-level and coach domain stewards.

• Change and adoption: Training, communications, communitybuildingand measurable uptake.

Conclusion:

At PwC, our purpose is to build trust in society and solve important problems. As we navigate an increasingly complex world, we are dedicated to ensuring that the systems on which communities and economies depend can adapt and thrive. Each role within our organization contributes to this mission, reinforcing our commitment to high ethical standards and the importance of trust.

Our five core values guide our actions and define who we are. They emphasize building trust through professionalism, ethical behavior, and a commitment to quality in all our interactions, whether with clients, colleagues, or the broader community. We respect privacy and confidentiality, and we strive for transparency in our operations,demonstratingcare and integrity in our relationships.

As part of our human-led, tech-powered approach, we empower our people through technology and foster an environmentwherespeaking upis encouraged, and diverse perspectives are celebrated. By embodying these principles in our daily work, we can collectively drive impactful outcomes that resonate with our clients andsociety as a whole Together,let'sembrace our purpose and values to create meaningful change.