Data Asset Manager

When it comes to putting people first, we're number 1. 

The number 1 Top Employer in South Africa. 
Certified by the Top Employer Institute 2026. 

Role Purpose/Business Unit:

As a data asset manager, you will be responsible for the lifecycle of selected data assets, ensuring efficient organisation, accessibility and quality of data assets to support reporting and analytics. You will be the representative for business and finance in the IT Data Enablement agile squads to ensure that data is enabled to meet business’ reporting and analytical requirements. You will play a key role in maximising the value of the data asset by aligning data assets with business goals, facilitating data governance, and implementing solutions for easy data utilisation. You will require the ability to design data models, develop financial and non-financial performance measures and related reporting applications.

Your responsibilities will include:

• Data Asset Design: Design the data model for data assets with IT Data Enablement team to ensure the data marts in the data warehouse meeting business requirements and support the production of KPIs. Understanding the data structures and how the data would map to the targeted measures and attributes. 

• Data Governance: Design and implement data governance controls for all new high value/high risk data assets and remediate data quality on existing data to ensure data assets in portfolio is of high quality.

• Data Asset Delivery: Manage end to end the delivery of data products by D&A and IT in accordance with strategy. Ensure high quality data asset is delivered in line with business expectations, ensuring user acceptance.

• Product Adoption: Champion data literacy and drive adoption of data assets and related products. Share proactive actionable insights to support commercial action and financial steering. Optimise portfolio and decommission non-utilised products.

• Documentation: Create comprehensive documentation for data assets, specifically user requirements and detailed business process and data flow diagrams with source data to data model target mapping.  Identify where business processes don’t support the creation of accurate data.

The ideal candidate for this role will have:

• Bachelor’s degree in computer science, finance, engineering or related field.
• At least 8+ years data management experience and/or finance focused environment.
• At least 2 years operating at management level, preferably in a corporate environment.
• Expertise in SQL and working experience with reporting platforms.
• Trained in the agile methodologies of ways of working.
• Data Governance experience will be beneficial.
• Knowledge of data visualization and reporting techniques.
• ICT industry experience essential.
• Certification in relevant BI cloud and data management considered to be favourable.

Core competencies, knowledge, and experience:

• Technical Proficiency: Strong understanding of database concepts, experience in querying large, complex data sets requiring SQL expertise as well as knowledge of data warehousing concepts and technologies. Skills in creating data models that support business processes and decision-making.

• Data Visualisation: Experience in visualisation tools like QlikSense, Tableau or Microsoft BI.

• Analytical skills: Outstanding analytical skills and problem-solving ability to support data asset design and to address data-related challenges, with meticulous attention to detail. Ability to analyse large datasets to derive insights and make data-driven decisions.

• Financial skills: Knowledge of performance drivers and how they translate into financial performance, with the ability reconcile systems and datasets. Ensure alignment with accounting principles.

• Stakeholder engagement: Ability to manage complex, diverse stakeholder relationships from finance, IT, salespeople to read-only executives. Ability to comprehend their data requirements and expectations.

• Telecom experience: Deep knowledge of telecommunication landscape and products.

• Communication skills: Strong skills to present data in ways that can help them make smarter decisions. Excellent oral and written communication skills Ability to clearly articulate data strategies and findings to non-technical stakeholders. Working effectively with cross-functional teams, including IT, marketing, finance, and operations.

• Collaboration sills: Ability to partner with Realise Train Engineer and guarantee agile delivery on committed items as part of a diverse, high-performance team. Ability to work effectively with cross-functional teams across different technical capabilities and geographics.

We make an impact by offering:

• Enticing incentive programs and competitive benefit packages
• Retirement funds, risk benefits, and medical aid benefits
• Cell phone and data benefits, advantages fibre connection discounts, and exclusive staff discounts offered in collaboration with partner companies

Closing date for Applications: 26 March 2026 

The base location for this role is Midrand, Vodacom Campus     

The company's approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we actively encourage and welcome people with various disabilities to apply.
Vodacom is committed to an organisational culture that recognises, appreciates, and values diversity & inclusion.