03/20/2026 updated

MC
100 % available

Chief Data Officer & AI Transformation Leader

Johannesburg, South Africa
Only remote
BSc Actuarial Science and Mathematical Statistics
Johannesburg, South Africa
Only remote
BSc Actuarial Science and Mathematical Statistics

Profile attachments

Marcel-Coetzee-CV.pdf

About me

CTO & Founder of MoonCoon, a data engineering consultancy. 8+ years building enterprise AI/ML platforms, data pipelines, and cloud infrastructure for Fortune 500 clients across financial services and insurance.

Actuarial ScienceArtificial IntelligenceAmazon Web ServicesData AnalysisArchitectureFinancial InstitutionBusiness IntelligenceClaim ProcessingCloud ComputingComplianceDatabasesContinuous IntegrationData CentersData ValidationInformation EngineeringData GovernanceExtract Transform Load (ETL)Data WarehousingDevOpsFraud Prevention and DetectionPython (Programming Language)Machine LearningOpen Source TechnologyPricing StrategiesMicrosoft Power BIBasel IIIFederal Insurance Contributions Act TaxRevenue GrowthSnowflakeKubernetesTeam ManagementMachine Learning OperationsCommercial Insurances
AI & Machine Learning Engineering
Enterprise AI platform architecture with ML-OPS capabilities, real-time fraud detection systems, and automated underwriting pipelines serving Fortune 500 clients

Data Engineering & Analytics
Large-scale data platform migrations, distributed team management across multiple time zones, and enterprise data governance frameworks

Cloud Infrastructure & DevOps
AWS enterprise migrations, Kubernetes cluster architecture, and CI/CD pipeline implementation reducing deployment cycles by 75%

Python & ETL Development
Core contributor to open-source Python ETL frameworks with enterprise-grade connectors and data validation features

Regulatory Compliance
Basel III, POPIA, SOC2, and FICA compliance implementation across financial institutions and data centers

Business Intelligence
PowerBI dashboard development and ML-based pricing optimization driving 12% category revenue growth

Actuarial Analysis
Commercial insurance pricing models and fraud detection systems reducing false claims by 30%

Database Technologies
Snowflake data warehousing, ClickHouse analytics, and DBT pipeline processing for 1M+ daily transactions

Languages

EnglishNative speaker

Project history

Founder & Chief Technology Officer

MoonCoon
Founded data engineering consultancy with P&L ownership generating $2M annual revenue. Remote-first operation delivering across 4 continents. Lead technical delivery, client acquisition, and distributed team management. Strategic transformation partner to Fortune 500, Big Four consulting, and financial institutions across AI adoption, data infrastructure modernization, and regulatory compliance.

Senior Data Engineer (Contractor)

Equal Experts
Remote engagement with UK-based consultancy. Led data engineering for major UK retailer's financial services division. Architected DBT pipelines processing 1M+ daily transactions on Snowflake. Implemented CI/CD reducing deployment cycles 75%. Established data quality framework achieving 99.9% SLA. Platform enabled new financial products and real-time credit decisioning.

Senior Data Scientist, Acting Head of ML-OPS

Nedbank
Led organizational transformation establishing enterprise ML-OPS capability supporting 100+ data scientists. Reported to Chief Analytics Officer, advised executive committee on AI/ML strategy, infrastructure investment, and technology roadmap. Managed vendor relationships with NVIDIA, Databricks, AWS/GCP.

Senior Data Scientist, Data Science Lead

JD Group
Pioneered data science function for R30B+ retailer. Reported to CFO, advised executive team on analytics strategy and technology investment. Built organization from zero: hired/trained team, established infrastructure, developed governance, delivered ROI-positive use cases.

Actuarial Pricing Analyst

Old Mutual
Actuarial analysis for commercial insurance driving 15% profit increase. Developed pricing models for $200M portfolio. Modernized actuarial workflow introducing PowerBI dashboards and ML-based pricing. Built fraud detection reducing false claims 30%.

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