Own and improve matching, recommendation, and taxonomy-mapping models for Beamery’s talent data platform. Responsibilities include building evaluation datasets and metrics, conducting scientific experiments, tracking technical and business performance, writing tested Python code, reviewing AI-generated code, researching LLM and recommender-system advances, and communicating findings to product, engineering, and business stakeholders.

Own Beamery’s Data Foundry vision, strategy, roadmap, and commercial model. Define platform capabilities, data contracts, APIs, MCP access, governance, security, and privacy standards. Partner with product, data science, data engineering, integrations, sales, and customer success teams to prioritize delivery, validate customer needs, establish go-to-market plans, and measure business and customer value. Lead development of trusted, explainable AI and data products for enterprise workforce and talent use cases.

Lead the data platform's technical strategy and architecture, design analytics/semantic/AI data layers, set modelling and reliability standards, drive observability and data quality, mentor senior engineers, and coordinate cross-team modernization and incident response.