Dawid Kaminski

Managed the AI Transformation Engineering team, improving SDLC and automating strategic initiatives. Led implementation of a multi-tool strategy for AI code generation across assistants and agentic solutions. Led development of an AI PR Assistant used by 5,000+ engineers, delivering always-ready reviews, issue detection, and fix suggestions; reduced PR bottlenecks and saved an estimated $3.1M annually. Led private-preview Engineering Insights product used by 100+ Managing Directors to surface productivity insights. Drove onboarding of AI tools across the organization, partnering with vendors, leadership, legal, risk & infoSec, and the COO office. Built a single source of truth to drive tool adoption, trained teams, and managed an 80-person SME network. Conducted org-wide livestreams and forums to showcase GA AI tools and brief senior leaders on AI SDLC and strategy.

Led development of a new BI product on our SaaS platform based on the sell-out algorithm to track demand and supply across thousands of stores. Delivered on-site insights workshops at client HQs to drive stakeholder buy-in and support investment decisions. Led development of a BI dashboard demo enabling business growth through structured GTM user journeys. Led development of a self-serve master data capability, providing an API-based bulk update capability that enabled vendors’ non-technical teams to scale across thousands of stores without integrations. During a secondment to India, drove knowledge transfer that enriched project strategy and teamwork.

Prototyped the sell-out algorithm to track product demand and supply across thousands of CPG stores globally, redefining BI for major clients including Unilever, PepsiCo, and Heineken. Built automated offline analytics packs for Account Directors and clients, uncovering new market opportunities and equipping ADs with meeting-ready insights that drove client buy-in. Partnered with Account Coordinators to gather requirements and optimise end-to-end processes aligned with BPMN 2.0. Integrated Elasticsearch and MSSQL with StarRocks, enhancing data processes and operational efficiency. Transformed stakeholder needs into technical user stories, linking business goals with technical execution. Supported performance testing and built SQL/Python analyses to accelerate product development.