Teams at Xplor Technologies

Leads AI/ML research and development, owning enterprise evaluation methodology, predictive and decision models, experimentation, causal inference, model economics, and production deployment. Builds evaluation suites and models hands-on, monitors performance and cost, prototypes agentic techniques, and guides AI-native engineering practices. The role also develops a small team, raises organizational ML fluency, supports data-as-a-service benchmarks, and communicates model uncertainty and business value to executives.

Leads Product Operations for AI initiatives across productivity, customer adoption, commercialization, governance, measurement, and cost visibility. Builds executive scorecards, establishes portfolio decision rights, tracks AI value and risks, standardizes product and delivery metrics, supports launch readiness, manages vendor oversight, and develops a product operations team. Partners with Finance, Product, Engineering, GTM, Security, Legal, Privacy, and executive leaders to connect AI investments with revenue, margin, adoption, retention, and operational outcomes.

Lead product strategy for AI-driven business automation and a monetized data-as-a-service offering. Build enterprise AI governance, agent operating models, evaluation standards, privacy controls, and responsible AI practices. Develop an AI champion network, prioritize automation opportunities, and measure productivity gains. Define data products, customer segments, pricing, packaging, and go-to-market plans while partnering across engineering, security, legal, privacy, risk, and business units.