Shape and evolve the vision, strategy, and roadmap of our Data & AI Platform – enabling scalable ML, MLOps, GenAI, and advanced analytics use cases across the organization.
Drive customer-centric product discovery with data scientists and engineers using continuous discovery, behavioral insights, and opportunity-solution thinking to prioritize high-impact platform capabilities.
Translate strategic goals into a prioritized product roadmap and backlog, ensuring maximum value delivery.
Define and track Data & AI platform KPIs such as model deployment frequency, experimentation cycle time, data reliability, feature reuse, platform adoption, and AI product time-to-market.
Act as the primary product contact for the Data & AI Platform, aligning stakeholders across Analytics, ML and AI.
Champion secure, compliant, and cost-aware AI-by-design defaults including governance, observability, reproducibility, and responsible AI standards.
Lead platform adoption through enablement, documentation, golden paths (covering 70–80% of use cases), migration strategies, and compelling narratives engineers actually care about.