Senior Process Mining Specialist

Araxi Group; Gauteng; On-site; ZAR 900,000 - 1,200,000; Full time

Job summary

Araxi Group seeks a Senior Process Mining & Optimisation Specialist to lead end-to-end process mining initiatives and translate data-driven insights into actionable business improvements. You will work with Process Engineers, Data Teams and stakeholders to raise efficiency, customer experience, risk management and operational performance.

The role focuses on analysing event data, developing dashboards and KPIs, and driving value realisation across the organisation.

Qualifications

• Degree or higher in a relevant field; business/engineering/information systems.
• Lean Six Sigma Green Belt or Black Belt preferred; Process Mining certification advantageous.

Responsibilities

• Lead process mining initiatives across business areas.
• Identify bottlenecks, inefficiencies, rework, delays, variants and deviations.
• Translate insights into practical, prioritised improvement recommendations.
• Quantify opportunities and develop business cases forBenefits realization.
• Support implementation of optimisation initiatives and track realised benefits.

Skills

Stakeholder facilitation

Change enablement

Root cause analysis

Process improvement

Business case development

Education

Degree in Business, Engineering, IS, Data Analytics, or related field

Lean Six Sigma Green/Black Belt

Process Mining certification

BPM or Process Management certification

Tools

Celonis

ARIS Process Mining

Job description

Purpose of the Role

The Senior Process Mining & Optimisation Specialist is responsible for leveraging process mining, process analytics and business process management practices to identify, quantify and realise business improvement opportunities across the organisation.

The role combines process mining expertise with process analysis, process design and optimisation capability to translate data-driven insights into actionable recommendations and measurable business outcomes.

Working closely with Process Engineers, Process Architects, Business Analysts, Data Teams, Technology Teams and Business Stakeholders, the role enables process intelligence that improves efficiency, customer experience, risk management and operational performance.

Key Responsibilities

Process Mining & Process Intelligence

• Lead process mining initiatives across business areas.
• Discover, analyse and monitor end-to-end business processes using process mining technologies.
• Identify bottlenecks, inefficiencies, rework, delays, process variants and compliance deviations.
• Analyse event logs and business data to identify improvement opportunities.
• Develop process mining dashboards, KPIs and performance insights.
• Perform conformance analysis between documented processes and actual process execution.
• Contribute to process mining and process intelligence standards and practices.

Process Analysis, Optimisation & Value Realisation

• Translate process mining insights into practical and prioritised improvement recommendations.
• Facilitate process analysis and root cause analysis with business stakeholders.
• Use process insights to inform future-state process improvements in collaboration with Process Engineers and Process Architects.
• Quantify improvement opportunities and develop supporting business cases.
• Support implementation of agreed optimisation initiatives.
• Define performance measures and track realised benefits against agreed targets.
• Identify misalignment between actual process execution and documented process models and support appropriate remediation.
• Promote data-driven continuous improvement practices.

Data & Technology Integration

• Partner with Technology, Data and Architecture teams to identify relevant system and process data sources.
• Define event-log, data extraction and process mining data requirements.
• Support integration between process mining platforms and enterprise applications.
• Validate data quality and the accuracy of process mining outputs.
• Collaborate with relevant teams to improve process visibility and analytical insights.

Minimum Requirements

Qualifications

• Degree in Business, Engineering, Information Systems, Data Analytics, Operations Management or related field.
• Lean Six Sigma Green Belt or Black Belt preferred.
• Process Mining certification advantageous.
• BPM or Process Management certification advantageous.

Experience

• Minimum 5 years' experience in Business Process Management, Process Improvement or Process Optimisation.
• Minimum 3 years' hands-on experience working with process mining platforms.
• Proven experience identifying and supporting implementation of process improvement initiatives.
• Experience analysing event logs, process variants and process performance.
• Experience facilitating process analysis and optimisation workshops.
• Experience using process analytics to support business decision-making.Experience quantifying and tracking business improvement benefits.
• Banking or financial services experience advantageous.

Technical Competencies

• Process Mining (Celonis, ARIS Process Mining or equivalent)
• Event Log Analysis & Data Quality
• Business Process Management (BPM)
• BPMN Modelling
• Process Analysis & Optimisation
• Process Performance Management
• Process Intelligence
• Conformance Analysis
• Root Cause Analysis
• Lean Six Sigma / Continuous Improvement
• Data Analysis & Interpretation
• Business Case Development
• Value Realisation
• Stakeholder Facilitation & Change Enablement