- Platform strategy & infrastructure
- Platform as a service, API design, microservices, reusable capabilities, developer experience, internal developer platforms.
- Data governance & compliance
- Data privacy and PII handling, access control management, data exfiltration prevention, privacy-compliant ML workflows, secure experimentation environments built on least privilege.
- ML infrastructure & MLOps
- Machine learning recommendations, MLflow integration, data science experimentation environments, workflow standardisation, CI/CD and pipeline automation.
- Discovery & personalisation
- Qualitative user research, user journey mapping, competitor analysis, vector search, behavioural data, personalisation at scale.
- Data & experimentation
- A/B and multivariate testing, evaluation frameworks, relevance metrics, conversion rate optimisation, behavioural analytics.
- Leadership & execution
- Cross-functional team alignment, continuous discovery, double-diamond methodology, OKRs, PRFAQ authoring.