Academic/ Professional qualifications and Experience:

• Degree in Computer Science, Data Science, Mathematics, Statistics, or related quantitative discipline.
  
• Cloud data platform certification required: Azure Data Engineer (DP-203), AWS Data Analytics, or Databricks Certified Data Engineer.
  
• AI/ML certification preferred: Azure AI Engineer (AI-102), AWS Machine Learning Specialty, or Google Professional ML Engineer.
  
• Minimum 8 years of experience in data engineering, analytics, or AI/ML, with at least 4 years in a client-facing architecture or consulting role.
  
• Proven experience designing and delivering data platform migrations, analytics programmes, or AI/ML deployments for enterprise clients.
  
• Familiarity with African data protection regulation and responsible AI frameworks.
  

Data and AI Solution Architecture (55%)

• Design and review data architecture and AI/ML solution blueprints for all major T&I data and AI pursuits - ensuring technical soundness and delivery feasibility before contract signature.
  
• Produce high-quality data architecture documents, AI solution designs, and analytics-as-a-service proposals for client engagements.
  
• Lead client-facing data architecture workshops, demonstrating KPMG's capability in data platform engineering, AI/ML model deployment, and intelligent automation.
  

Delivery Governance and Quality (30%)

• Provide architecture oversight on active data and AI delivery engagements - attending design reviews, sprint reviews, and client technical steering committees.
  
• Serve as KPMG T&I's technical authority on AI ethics, model governance, and responsible AI frameworks - ensuring all AI solutions meet appropriate standards.
  
• Conduct formal architecture health checks at key delivery milestones to identify data quality issues, model performance risks, and scope deviations.
  

Market and Capability Development (15%)

• Contribute to KPMG T&I's Data and AI thought leadership - publishing insights on AI/ML, data modernisation, and analytics trends relevant to African markets.
  
• Build KPMG T&I's internal data and AI capability through training, knowledge-sharing, and technical mentorship.
  
• Develop go-to-market propositions for Data and AI services, working with Domain Leads and Alliance Market Leads to position KPMG's capability with clients.