Qualifications

• Bachelor’s degree in Business Analysis, Computer Science, Information Systems, or a related field; or equivalent work experience.
  
• Professional development in Information Management or CDMP (Certified Data Management Professional) is an added advantage.
  
• Previous experience in analyzing business processes and system behaviors, with an understanding of how data flows through the organization.
  
• Hands-on experience conducting root cause analysis of data issues and identifying underlying process failures.
  
• Proven experience in applying Data Governance principles; data quality rules, metadata, stewardship, and standards to business workflows. Demonstrated ability to map and document business processes using workflow, data flow, or swimlane diagrams.
  

(a) Data Process Analysis & Root-Cause Investigation

• Analyse end-to-end data processes to understand how data is created, transformed, and consumed.
  
• Conduct root-cause analysis of data quality issues and identify breakdown in process, ownership, or standards.
  
• Map current state workflows and document pain points, data dependencies, and business impacts.
  

(b) Designing and Recommending Data Process Improvements

• Collaborate with business partners, Data Governance, and IT to design improved workflows, data quality controls, and stewardship steps.
  
• Evaluate solution options (existing vs. new) and assess impact on upstream/downstream systems and teams.
  
• Support the development of business requirements, user stories, and acceptance criteria focused on data outcomes.
  

(c) Embedding Data Governance Practices in Business Processes

• Ensure that standards, definitions, data quality rules, and stewardship roles are integrated into business workflows.
  
• Support teams in applying enterprise Data Governance guidelines and procedures.
  
• Partner with Data Stewards and data owners to improve adherence and resolve recurring governance issues.
  

(d) Stakeholder Engagement, Communication & Change Support

• Facilitate workshops, working sessions, and discussions to clarify data requirements and reconcile conflicting needs.
  
• Clearly communicate findings, recommendations, and impacts to both technical and non‑technical audiences.
  
• Assist in change management activities related to new data processes or governance practices.
  

(e) Documentation, Reporting & Continuous Improvement

• Maintain documentation of data processes, decision logs, requirements, and governance artifacts.
  
• Track benefits, improvements, and recurring issues.
  
• Identify new opportunities to enhance data quality and streamline workflows.