Data Quality and Governance Lead

Management Level

Manager

Job Description & Summary

Our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations.

Those in data quality and operations will focus on the accuracy, completeness, and accessibility of data for effective decision-making and business operations. Your work will involve implementing data quality control measures, performing data cleansing and validation, and monitoring data integrity. You will be responsible for managing data operations, including data acquisition, transformation, and loading processes, to enable the smooth functioning of data management systems and processes.

Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:

• Analyse and identify the linkages and interactions between the component parts of an entire system.
• Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
• Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
• Develop skills outside your comfort zone, and encourage others to do the same.
• Effectively mentor others.
• Use the review of work as an opportunity to deepen the expertise of team members.
• Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
• Uphold and reinforce professional and technical standards (e.g. refer to specific tax and audit guidance), the Firm's code of conduct, and independence requirements.

Position Overview:

The Data Governance and Management Lead is responsible for the delivery management of the Data Quality Management, Data Stewardship and Data Governance services and teams. The Lead ensures that internal, enterprise data is of a high quality through engagement with LoS data owners and stewards, accurate maintenance of key data sets, and meeting data quality metrics. The Lead also supports the Data Lead with the development and implementation of Africa-wide data policies and processes to ensure that enterprise data is properly managed in accordance with firm and regulatory standards.

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. By leveraging AI-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, always seeking to challenge the status quo. Together, we work with urgency and empathy, united in our mission to create impactful solutions that benefit our firm and our clients.

Key Responsibilities:

1. Data Governance:

• Define and implement data governance frameworks
• Define and implement a data maturity programme that ensures that the Africa firm meets the network standards requirements as outlined in applicable local and global policies.

2. Data Stewardship:

• Establish and drive data stewardship networks, forums and community of practices
• Manage enterprise data governance and stewardship service offering.
• Ensure that the data quality of Africa data domains is measured and improved according to business-driven critical metrics.
• Ensure that LoS data stewards and SMEs are supported by the Data Team through collaboration and driving initiatives to improve data management and quality.
• Design and implement Africa wide data stewardship engagement model.

3. Data Quality Management:

• Design and Implement Data Quality Framework
• Socialise the Data Quality Framework with the Data Stewards, track firm operationalisation of this framework and give updates to the applicable data forum
• Work with business to design processes, systems and automations for the effect management of data.
• Manage the Africa data quality team responsible for capturing data and ensuring the quality thereof within the applicable data systems.
• Ensure that Africa data capturing processes adhere to the network requirements for the applicable domain data management requirements.
• Manage delivery service of the teams that report to you.

4. Data Literacy

• Design and deliver the data culture change programme for Africa.
• Work with applicable departments to design change and literacy content for each data role and persona.
• Ensure new data policies, frameworks, standards, and guides are socialised for implementation
• Assist with the content and management of the AfricaTech Hub as a source of data information for staff.

5. Operational Management

• Staff performance management and skills development.
• Development and monitoring of Standard Operating Procedures.
• Development and monitoring of Service Level Agreements.
• Delivery pipeline responsibility.
• Ensure that ongoing audit compliance requirements are met, and evidence is available.
• Data Governance and Management services budget input and cost management.

7. Continuous Improvement:

• Identify opportunities to enhance data quality processes, tools, and techniques, leveraging innovative approaches to improve overall data governance management strategies.
• Contribute to ongoing assessments of the effectiveness of data quality practices, proposing adjustments based on industry trends and organizational needs.
• Drive the optimisation and automation of redundant and obsolete processes
• Master and champion the use of AI tools in the delivery of Data Governance and Quality processes.

Qualifications and Skills:

Education:

• Any Bachelor Degree or equivalent relevant work experience.
• Certifications in data governance (e.g., DAMA Certified Data Management Professional) would be advantageous.
• Experience: Minimum of 8 – 10 years of experience in data governance, data quality management, or related roles within a complex organizational environment.

Technical Skills:

• Management of enterprise data quality and integrity through ensuring data accuracy, consistency, and reliability.
• Familiarity with laws and regulations like GDPR and POPIA to help ensure data regulatory compliance.
• Ability to align data governance and management initiatives with business goals and develop comprehensive data governance strategies.
• Ability to identify and put in place mitigations to deal with data-related risks.
• Implementing data governance programs and ensuring they meet organizational objectives.
• Effective at communicating data policies and standards across the firm.
• Extensive experience in data management frameworks and practices.
• Understanding data structures, databases, and data warehousing.
• Proven track record of managing large-scale data projects.
• Commitment to staying updated with the latest trends and technologies in data governance and management.
• Ability to lead cross-functional teams and foster a data-driven culture.
• Ability to develop and mentor data governance and data quality teams.

Soft Skills:

• Excellent communication and interpersonal skills, with the ability to engage effectively with diverse stakeholders.
• Analytical and detail-oriented mindset, with a proactive approach to problem solving and decision making.

Conclusion

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, demonstrating care and integrity in our relationships.

As part of our human-led, tech-powered approach, we empower our people through technology and foster an environment were speaking up is 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 and society as a whole. Together, let's embrace our purpose and values to create meaningful change.

The Data Governance and Quality Manager plays a critical role in establishing data governance frameworks that will build trust in our data, open revenues for data monetization and upholding the quality and integrity of the organization’s data assets. Your expertise in data governance and management practices and commitment to fostering a culture of accountability will significantly enhance the effectiveness of data governance initiatives within Africa. You need to be passionate about data governance and purpose needs to resonate with you.

Travel Requirements

Up to 20%

Available for Work Visa Sponsorship?

No