Head, Data Engineering

Company Description

Standard Bank Group is a leading financial services group focused on Africa and an innovative player on the global stage. Offering a wide range of career-enhancing opportunities, the Group provides an environment where talented, driven professionals can thrive. Our clients range from individuals and businesses of all sizes to high net worth families, large multinational corporates and institutions. We are committed to fostering growth in Africa by providing value-driven services to our clients and the communities we serve, cultivating a sense of purpose for our team members.

Job Description

The role intends to transform the user experience of CIB Operations’ services through prioritisation and implementation of impactful and data-driven solutions (Intelligent Process Model) to enhance the relevance and optimisation of business services in line with our strategy.

The successful candidate will provide thought leadership, high-quality advisory, analytical, project management, and specialist skills across the value chain to prepare the organization for upcoming transformations.

The objectives include delivering against strategic goals and thresholds to meet stakeholder expectations and contribute to CIB Operations' future relevance aligned with strategic planning.

As part of the Data Products & Insights portfolio for the global CIB Operations business, the role requires:

• Designing, maintaining, and optimising the infrastructure for data collection, management, transformation, and access.

• Informing the design, building, testing, and operationalising of data pipelines and data stores as per applicable architecture, solution designs, standards, policies, and governance requirements.

• Creation of commercially viable and widely accessible data products.

• Passion and skill to lead and inspire a team of data professionals to leverage data products and insights for driving transformation at all levels towards the CIB Operations' future state.

Critical focus areas in the Intelligent Transformation value chain:

1. Decide – Use objective data insights to justify new business solutions and guide decision-making.

2. Execute – Utilise data to track the implementation of new solutions and continuous improvement of Operations environments.

3. Realise Value – Proactively track benefits with clear and timely data points.

Critical Behavioural Competencies:

• Exploring possibilities

• Challenging ideas

• Conveying information

Critical Technical Competencies:

• Data storytelling and visualization

• Commercial mindset

• Capacity for result-oriented work

Qualifications

Type of Qualification

• Degree

Experience Required:

3-4 years of experience showing application of insights, metrics, strategy, and benefits realisation measures across the organisational value chain to validate successful implementation of initiatives to meet stakeholder expectations.

3-4 years of experience demonstrating ability to collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver fit-for-purpose solutions.

3-4 years of experience in designing, maintaining, and optimising data infrastructure for data collection, management, transformation, and access.

1-2 years of experience showing how insights and trends align with the strategic objectives, proactively addressing upcoming changes while managing internal and external challenges to enhance the success of change initiatives.

Additional Information

Behavioral Competencies:

• Exploring possibilities 
• Challenging ideas
• Articulating information
• Developing Strategies
• Adopting Practical Approaches
• Developing expertise
• Convincing people
• Making decisions
• Empowering individuals
• Resolving conflict
• Conveying self-confidence
• Maintaining composure

Technical Competencies:

• Strategy definition
• Project management
• Stakeholder management
• Process analysis and redesign
• Client business case
• Change enablement
• Change management (HR)
• Innovation leadership
• Insight storytelling
• Client relationship management
• Creative problem-solving
• Data analytics & visualization
• Commercial acumen in operations
• Strategic alignment & execution
• Solution design & enablement
• Process automation value management