The Process Engineer II is responsible for analyzing, designing, improving, and optimizing business processes to enhance operational efficiency, performance, and business outcomes. This role partners with business and project teams to assess current state processes, develop future state operating models, and implement process improvement initiatives using industry best practices and methodologies.
Key Responsibilities
- Plan and manage process deliverables aligned with project delivery methodologies.
- Design, execute, and deliver process improvement initiatives within agreed quality, scope, and timelines.
- Conduct current-state (As-Is) and future-state (To-Be) process discovery, analysis, and design using appropriate methodologies and tools.
- Support business value assessments, ROI analysis, and benefit realization activities.
- Assist in developing and implementing process performance measurement frameworks and metrics.
- Analyze and streamline workflows, identify improvement opportunities, and support problem resolution and change management initiatives.
- Contribute to value chain analysis, end-to-end process mapping, and alignment of business strategy with process architecture.
- Apply process improvement methodologies and enterprise architecture frameworks to support transformation initiatives.
- Evaluate and implement process performance measurement and simulation techniques to measure operational improvements.
- Collaborate with stakeholders to manage process transformation initiatives and organizational change activities.
- Identify training requirements associated with business changes and coordinate training and competency assessments.
- Develop and execute communication plans to support process improvement and organizational change efforts.
- Provide regular progress reporting and updates to stakeholders.
- Utilize BPM, project planning, and process tracking tools to manage process initiatives.
- Support the use and implementation of BPMS, RPA, and process automation technologies.
- Work with data and technology teams to define data flows, integrations, transformation requirements, and information sources.
- Review project plans and contribute to defining technology and solution requirements.
- Collaborate with project managers and technical teams to support solution delivery and implementation.
- Ensure adherence to organizational process standards, methodologies, risk controls, and governance requirements.
Qualifications
Required
- Bachelor's Degree, Advanced Diploma, or equivalent qualification (NQF Level 7).
Preferred
- Computer Science
- Information Systems
- Business Management or related field
Preferred Certifications
- Lean Six Sigma (Yellow Belt or higher)
- Certified Business Process Professional
- Business Analysis certifications
Experience
- 7 to 10 years of experience in business process management, process engineering, or continuous improvement.
- Proven experience leading small-to-medium process and performance improvement initiatives.
- Demonstrated experience in BPM, change management, and cross-functional process transformation projects.
Technical Skills & Knowledge
- Business Process Management
- Process Design and Optimization
- Process Measurement and Performance Management
- BPMN, EPC, and UML Modeling
- Agile Methodologies
- Software Development Life Cycle
- Change Management
- Data Analysis and Process Analytics
- Business Writing and Documentation
- RPA and Business Process Management Systems
- Big Data Concepts and Information Management
- Facilitation and Presentation Techniques
- Regulatory and Governance Knowledge
Core Competencies
- Communication
- Stakeholder Management
- Influencing and Negotiation
- Managing Work and Priorities
- Leveraging Feedback
- Problem-Solving and Critical Thinking
- Analytical and Process-Oriented Mindset
Skills
analytical skills communication skills Project Management Problem-Solving Industrial Engineering Process Engineering Data Analysis Critical Thinking interpersonal skills mechanical engineering six sigma chemical engineering lean manufacturing Data Interpretation Process Design Principles Statistical Process Control (SPC) Process Simulation Software (Aspen Plus, HYSYS)