Hands-on experience leveraging LLMs and building AI-driven workflows or interfaces to process complex data, summarize insights, and scale go-to-market content.
Develop and maintain robust data scraping and collection pipelines (web crawling, API ingestion, data wrangling) to gather competitive intelligence, market signals, and player/community data at scale.
Methodology and threshold reviews: Review and recalibrate FAM 2.0 methodologies and thresholds for prioritised backlog items. This includes back-testing, impact assessment, analytical specifications, validation approaches, gap analyses and documentation.
You will design, measure, and recommend A/B tests and multivariate experiments, including layout optimisation, UI/UX efficacy, algorithm effectiveness, and API performance.
Design, measure, and recommend A/B tests and multivariate experiments, including layout optimisation, UI/UX efficacy, algorithm effectiveness, and API performance.
Design and document rules, thresholds, and segmentation logic that support claims adjudication and operational processes; validate assumptions with subject matter experts.
Performance & Measurement: Lead performance measurement and control-tower capabilities across CBG products, translating data into actionable business and marketing insights.