Job Description
- The Process Engineer will be responsible for analysing, modelling, digitising, and continuously improving DBSA’s business processes across the Bank’s value chain. This role supports the digital transformation strategy and initiatives through processes that are efficient, standardised, integrated and aligned to the digitalisation strategy and technology enablement objectives.
Key Responsibilities
Business Process Analysis & Modelling
- Provide capacity building support to business units on the methodologies and principles of business process mapping.
- Engage and collaborate with various business units to analyse, document, and redesign end-to-end business processes to improve efficiency, effectiveness, and business performance.
- Facilitate workshops, interviews, and process review sessions with stakeholders.
- Identify process bottlenecks, duplication and operational inefficiencies, and recommend process improvements.
- Facilitate the application of approved process modelling methodologies and standards across the organisation to ensure a standardised approach.
- Drive continuous improvement initiatives aligned to operational and digital transformation objectives.
- Maintain a central repository of process guidelines, frameworks, process models and workflows and ensure process documentation remains current, accurate, and aligned to business and system changes.
- Maintain alignment of process models with DBSA’s strategic objectives and transformation roadmap.
- Provide advisory support on process improvement, operational efficiency, and best practices.
- Collaborate with business analysts, solution architects, developers, and project teams on process-related initiatives.
Measurement & Performance Monitoring
- Define metrics to measure process efficiency, effectiveness, and maturity.
- Establish frameworks for ongoing monitoring and reporting of process performance.
- Provide insights to executives on process gaps, risks, and improvement opportunities.
- Benchmark DBSA’s processes against industry best practice.
Digitalisation & Automation
- Support the digitalisation and automation of business processes through collaboration with IT and business stakeholders to design and implement digital workflows and automation solutions.
- Identify opportunities for workflow automation, system integration, and process simplification.
- Participate in system implementation and enhancement projects to ensure process alignment and optimisation.
- Identify opportunities to digitise and automate processes using ERP, CRM, procurement, and treasury systems.
- Promote adoption of digital tools, analytics, dashboards and technologies to improve operational efficiency.
- Implement integration processes with enterprise platforms and data environments.
Continuous Improvement & Optimisation
- Facilitate initiatives to engineer and optimise processes using Lean, Six Sigma, and Agile methodologies.
- Ensure processes are resilient, scalable, and adaptable to future needs.
- Support benefits realisation by linking process improvements to measurable outcomes.
- Drive a culture of continuous improvement across business units.
Governance & Compliance
- Verify and validate that processes comply with regulatory requirements, policies, and governance frameworks.
- Collaborate with risk and compliance teams to embed controls into business processes.
- Maintain documentation and audit trails for process changes and improvements.
Stakeholder Engagement & Capability Development
- Build strong relationships with business units, executives, and technology partners.
- Communicate process improvement strategies and decisions in clear, business-oriented language.
- Mentor and coach teams to build process engineering capability within DBSA.
- Facilitate training and workshops on process modelling and optimisation.
Key Measurement of Outputs
- % alignment of process improvements to DBSA’s strategic objectives.
- Timeliness and quality of process models, workflows, and documentation.
- Adoption rate of digitised and automated processes across business units.
- Measurable efficiency gains from process optimisation initiatives.
- Accuracy and timeliness of performance reporting and dashboards.
- Reduction in process bottlenecks, duplication, and manual interventions.
- Stakeholder satisfaction with process engineering services and improvements.
- Compliance with governance frameworks and regulatory requirements.
- Capability maturity improvements in process engineering practices.
- Benefits realisation linked to transformation initiatives.
Expertise & Technical Competencies
Process Modelling & Capability Mapping
- Expertise in BPMN, Lean Six Sigma, and process optimisation methodologies.
- Skilled in modelling business capabilities and aligning them with technology platforms.
Digitalisation & Automation
- Hands-on experience with ERP, CRM, procurement, and treasury systems.
- Skilled in workflow automation, RPA, and low-code/no-code platforms.
- Ability to design and implement digital workflows that enhance efficiency and scalability.
Performance Measurement & Analytics
- Skilled in defining KPIs, metrics, and dashboards to monitor process efficiency and maturity.
- Ability to interpret performance data and provide actionable insights to executives.
- Knowledge of business intelligence tools and reporting platforms.
Continuous Improvement Methodologies
- Proficiency in Lean, Six Sigma, and Agile practices for process improvement.
- Ability to lead re-engineering initiatives and embed continuous improvement culture.
- Skilled in root cause analysis, problem solving, and benefits realisation.
Governance & Compliance Integration
- Knowledge of regulatory frameworks and ability to embed compliance into business processes.
- Skilled in developing and maintaining documentation, audit trails, and assurance reviews.
Enterprise Systems Integration
- Experience in integrating processes with ERP, CRM, procurement, and treasury platforms.
- Skilled in ensuring interoperability and scalability of process designs.
Data & Information Management
- Knowledge of data governance and process analytics.
- Ability to design processes that ensure data integrity and support decision-making.
Minimum Qualifications
- Bachelor’s Degree in Industrial Engineering, Business Administration, Information Systems, or related field.
Minimum Experience
- A minimum of 8 years’ experience in process engineering, business process management, or operations optimisation.
- Proven track record in modelling, digitising, and improving processes across ERP, CRM, procurement, and treasury systems.
- Strong background in performance measurement, KPIs, and continuous improvement methodologies.
- Hands-on experience with workflow automation, RPA, and low-code platforms.
- Demonstrated ability to engage and influence executives, boards, and cross-functional teams.
Desirable Requirements
- Postgraduate qualification (MBA, Master’s in Process Engineering, Digital Transformation, or Operations Management).
- Professional certifications such as Lean Six Sigma, BPMN, Agile/Scrum, or TOGAF Business Architecture.
- Exposure to financial services, development finance, or public sector environments.
Deadline:3rd August,2026
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