Job description
Job title : Head Data and Analytics Job Location : Gauteng, Deadline : November 03, 2025 Quick Recommended Links
StartFragment Job Description
- The Head Data and Analytics is responsible for leading the strategic direction, development, and implementation of data
- analytics initiatives across the organisation.
This role ensures that data-driven insights align with business needs, - enhance operational efficiency, and support the organisation’s strategic objectives.
This role's primary purpose is to - establish and drive a data-driven culture, transforming raw data into actionable insights that inform critical business
- decisions, optimise operations, and identify new opportunities for growth and efficiency.
- Key Responsibilities
Key Performance Areas:
Data Governance and Risk
- Define and execute the enterprise data strategy.
- Build and mature advanced analytics capabilities (including business intelligence, predictive modelling, and
- potentially AI/ML applications).
- Ensure robust data governance and quality.
- Lead data compliance with regulatory frameworks and internal governance.
- Implement data risk reporting and mitigation strategies.
- Maintain data security and business continuity plans.
Data Operations and Service Delivery
- Partner closely with business units and technology teams to translate complex data findings into clear, impactful
- strategies and measurable outcomes.
- Alongside the IT team, lead data-driven innovation for the enterprise, including investigation, adoption, and
- exploitation of artificial intelligence.
- Oversee the delivery of reliable, cost-effective, and innovative data services.
- Manage data infrastructure, software licensing, and refresh cycles.
- Ensure high-quality data systems and services across the organisation.
- Strategic Focus
- Set and communicate the strategic direction for data analytics in collaboration with the other executives to all
- internal and external stakeholders.
- Develop the long terms and short-term strategy and plan, aligned to budgets.
- Develop and maintain enterprise-wide data architecture and operational plans.
- Ensure alignment of data initiatives with the organisation’s strategic goals, priorities, and deliverables.
- Offer direction on implementing the strategy to effectively show commitment to it.
- Lead and advances digital transformation initiatives by harnessing data-driven technologies to boost operational
- efficiency, enhance service delivery, and create new avenues of value within the DBSA.
- Expand the organisation's research and analytics capabilities, prioritising emerging analytical methods, skills,
- and technologies to accelerate digital business innovation and transformation.
- Discover opportunities to enhance and refine data capabilities, proactively monitoring industry trends and
- integrating new technologies as applicable.
- Identify novel types, forms, and sources of trustworthy data to foster business value innovation across the
- organisation.
- Cultivate a culture of innovation, continually seeking emerging technologies and best practices to modernise
- operations and deliver impactful data-driven solutions.
- Advocate for customer-focused and future-oriented data solutions.
- Champion the advancement of data literacy throughout the organisation.
Stakeholder Management
- Build and maintains strong relationships with internal and external stakeholders such as EXCO, and the Board
- as well as government entities, commercial banks, development partners, and community representatives, to
- drive shared objectives.
- Build and manage strategic partnerships with national, provincial, and local government stakeholders.
- Manage external vendors and negotiate data acquisition contracts.
- Represent the organisation in data-related engagements with external partners.
- Navigate complex stakeholder landscapes, influencing outcomes and fostering consensus to achieve strategic
- goals.
People Management
- Lead, mentor, and develop a high-performing team, fostering a culture of collaboration, accountability, and
- continuous learning to maximise individual and collective potential.
- Lead the data analytics business unit and ensure effective execution of strategy.
- Implement human capital strategies and workforce planning.
- Foster a culture of performance, learning, and collaboration.
- Drive talent development initiatives, including coaching, performance management, and career pathing, to build
- and retain a skilled and motivated team.
- Contribute to building synergies & cooperation across functions in the DBSA.
- Living the DBSA values.
- Reporting and Governance
- Establish and enforces robust governance frameworks and reporting mechanisms to ensure transparency,
- compliance, and effective decision-making across all operations.
- Ensure timely and accurate reporting of key performance indicators, risks, and progress against strategic
- objectives to relevant internal and external bodies.
Key measurements of outputs:
- Successful roll-out and adoption of data strategy across the organisation
- Number and quality of analytics solutions developed and implemented, business impact of D&A by linking use cases
- to business outcomes.
- Time from insight to action by monitoring how long it takes before D&A insights are acted upon (e.g., projects
- delivered, platforms implemented and supported, number of D&A users, usage metrics).
- Reduction of number of reports generated across the bank.
- Increase in business decisions made using data insights.
- Improvement in data accuracy and completeness
- Reduction in costs related to data management and analytics operations
- Increase in return on investment from data initiatives
- Increase in user adoption of data tools and platforms
- Improvement in data literacy among employees
- Management of team performance, talent development, and succession planning using the performance
- management system.
- Expertise & Technical Competencies
Qualifications and Experience
Qualifications:
- Bachelor’s degree in Information Technology, Engineering, Mathematics, Computer Science, Information Systems,
- Actuarial Science or Data Science.
- Postgraduate qualification in Data Analytics or Business Administration, and certifications in data governance, project
- management, or enterprise architecture.
Experience:
- Minimum 12 years of experience with 5+ years in a management role.
- Extensive experience in data management, analytics, and business intelligence, with a proven track record of leading
- successful data-driven projects.
- Experience with modern data tools and platforms, such as big data technologies, machine learning frameworks, and
- data visualisation tools.
- Strong track record in aligning data initiatives with business strategy.
- Strategic data planning and enterprise data architecture and integration.
- Data strategy development aligned with corporate vision.
- Data governance, compliance, and risk management.
- Project and programme management (including multi-million-rand data projects).
- Systems integration, infrastructure, and data centre operations.
- Knowledge of data security, virtualisation, and green technologies.
- Budgeting and cost-benefit analysis for data investments.
- Strong understanding of software, hardware, and telecommunications systems.
- Regulatory frameworks (e.g., King III, data governance).
- Data procurement and vendor management.
- Disaster recovery and business continuity planning.
- Technical Competencies:
Digital Literacy:
- Conduct research and has awareness of the latest trends in the digital space that affects the Organisation and the business
- unit.
- Seek out innovative approaches and interventions to improve digital agility.
- To identify technical problems when operating devices and using digital environments, and to solve them (from
- troubleshooting to solving more complex problems).
Stay abreast of latest trends and incorporate it in driving change in the - business.
Data Collection and Analysis:
- Through a mastery of advanced/complex analytical techniques, establishes highlevel trends from processed data which may not be immediately apparent.
- Moves beyond concrete analysis of factual information to develop abstract, conceptual understanding of the meaning
- of an array of information.
- Integrates diverse themes and lines of reasoning to create new insights or levels of understanding.
Data Management:
- Defines a backup strategy in line with the disaster management strategy.
- Monitors file storage policy compliance by users, identify concern areas and address the same.
- Defines parameters for backup testing and monitors the same.
Conducts detailed backup tests to assure data integrity.
Strategic Planning:
- Establishes challenging, attainable goals and objectives based on a customer focus perspective.
- Looks to the future with a broad perspective.
- Ensures performances measures are in place to monitor progress and assess accomplishments and achievement of strategic goals and objectives.
- Develops initiatives to achieve goals and objectives.
- Articulates the vision and plans to others.
Knowledge Management:
- Identifies, develops, and articulates knowledge management strategies that will add value to the organisation.
- Engages with thought leaders within and outside the organisation to identify the value of knowledge and information to the organisation and develop a knowledgebased vision.
- Ensures that knowledge management strategies are embedded within corporate strategies and key business processes.
- Fosters a knowledge and information rich culture and ensures that knowledge management competencies are recognised as core competencies of the organisation in order to develop individual and organisational capability.
- Fosters the development of appropriate knowledge and information assets and the adoption of effective knowledge management processes, tools, and standards.
Reporting:
- Designs, reviews, and improves reporting processes and provides guidance.
- Leads production of complex environment reports, takes an editorial role, determines content and level of detail, and ensures consistent messaging and branding.
Data Collection and Analysis:
- Through a mastery of advanced/complex analytical techniques, establishes highlevel trends from processed data which may not be immediately apparent.
- Moves beyond concrete analysis of factual information to develop abstract, conceptual understanding of the meaning of an array of information.
- Integrates diverse themes and lines of reasoning to create new insights or levels of understanding.
- Required Personal Attributes
- Leadership/Behavioural Competencies:
Analytical Thinking:
- Identifies multiple elements of a problem and breaks down each of those elements in detail, showing causal relationships between them.
- Uses several analytical techniques to identify several solutions and weighs the value of each.
Information Seeking and Analysis:
- Analyses relationships among several parts of a problem or situation.
- Anticipates obstacles and thinks ahead about next steps in detail.
Leading and Empowering Others:
- Identifies long-term goals for the team and communicates them to team members, ensuring their buy in.
- Sets a good example by personally exercising desired behaviour, acts on
- values and beliefs.
- Communicates a vision for the team and future success that inspires team members.
- After assessing others’ competence, one delegates full authority and responsibility to others to do a task in their own way.
- Ensures that competent employees are given opportunities to further their careers.
Leading and Managing Change:
- Anticipates the need for change when not obvious and influences others to gain support.
- Builds sustainable business and organisational capacity to embrace and thrive on change.
- Re-engineers and aligns structures, processes, and practices to support and sustain the desired change.
Strategic and Innovative Thinking:
- Understands connections and trade-offs of strategic choices to evaluate which ideas are practical and possible by considering business and/or scientific implications.
- Develops innovative business and/or customer solutions that shape industry practices.
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