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Lex Cas

@lexcas

Senior Project Manager at City of Johannesburg GICT, integrating Salesforce CRM with gaming systems for real-time AI-powered customer insights.

South Africa

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At City of Johannesburg GICT, I led a project integrating Salesforce CRM with gaming transaction systems through Apache Kafka. The work delivered real-time AI-powered customer insights, improved customer retention by 25%, and reduced CRM response time by 60%.

At Merck (Africa Global Logistics), I led AI and digital transformation projects, including an AI-powered customer support chatbot with Human-in-the-Loop feedback. I also deployed an AWS SageMaker predictive analytics platform and used Power BI dashboards to make machine-learning outputs actionable.

I led enterprise data integration and Azure migration work using Denodo, Terraform, and Apache Kafka. I’ve also delivered customer service automation that reduced refund requests by 32% and saved R2.5 million in labour costs.

Experience

Work history, roles, and key accomplishments

Current

Senior Project Manager

Current

City of Johannesburg GICT

Nov 2024 - Present (2 years)

Led a $2M project integrating Salesforce CRM with gaming transaction systems using Apache Kafka, improving customer retention by 25% and reducing CRM response time by 60%. Directed Azure cloud migration using Terraform and automated CI/CD pipelines.

Salesforce Kafka Azure Terraform CI CD AI Ops Human In The Loop Power BI Change Management

Senior Lead Project Manager

Merck

Oct 2015 - Oct 2024 (9 years)

Reported to Head of PMO and led a team of 50 developers, managing full lifecycle of strategic IT and AI projects including an AI customer support chatbot and predictive analytics platform. Implemented Denodo data virtualization and Apache Kafka streaming for real-time data into AI/ML models.

AI Chatbot AWS Sagemaker Denodo Kafka Docker Kubernetes Microservices Redis Power BI Project Management Agile Scrum

Project Manager

Merck

Feb 2012 - Oct 2015 (3 years 8 months)

Facilitated Scrum ceremonies and managed product backlogs for systems supporting data and automation initiatives. Translated complex technical requirements into business language for stakeholders.

Scrum Agile Stakeholder Management Data Automation