Yasin Cagri Yigiter

I’m a senior AI/ML platform product leader with 8+ years across enterprise data and AI platforms, including 3+ years owning strategy, roadmap, and cross-functional execution for regulated AI/ML capabilities across multiple business domains.

At Merck Sharp & Dohme (MSD), I defined and drove a multi-year enterprise AI/ML platform strategy, OKRs, and adoption model—aligning engineering, data science, enterprise architecture, finance, and business stakeholders to serve 150+ product teams. I’m known for translating platform investments into measurable business value, scaling adoption from ~300 to ~1,300 users and building business cases demonstrating ~100% annual ROI and ~$30M/year in value.

I established the AI/ML industrialization framework for a regulated enterprise environment, setting standards across MLOps/LLMOps, evaluation, SDLC, ITSM controls, Responsible AI guardrails, deployment readiness, and operating controls for emerging agentic workflows. I also shaped integration design across Dataiku, Databricks, AWS, Collibra, and adjacent systems—improving security, compliance, reusability, and ease of adoption through reference architectures, API standards, shared patterns, and acceptance criteria.

I’ve led high-stakes deployments and governance at scale, including the first China deployment with China-only access and storage controls to meet data residency and cross-jurisdiction requirements. Previously, in Service Delivery Management for enterprise data, analytics, and AI platforms across 60+ countries, I improved reliability in GxP and SOX-regulated environments, led vendor specialist teams, and delivered $1.8M+ savings through rationalization and automation.