Lead Engineer, Data (Remote, US)

Role overview Set technical direction and oversee delivery across engineering teams focused on risk data and AI. The role brings together data foundations, analytics, automation, and AI capabilities so teams can deliver reliable, secure, governed products that improve risk insight and support decision-making.

Responsibilities - Lead the combined engineering organization and guide the managers responsible for day-to-day team delivery. - Turn organizational strategy into engineering roadmaps, measurable goals, delivery plans, and technical priorities. - Align AI work with reliable, governed data foundations, and oversee delivery of data products, reporting, automation, and AI capabilities embedded in risk workflows. - Set direction for data engineering, analytics, AI, automation, model evaluation, monitoring, and responsible AI practices. - Strengthen engineering practices for testing, deployment, observability, data quality, production support, and operational resilience. - Partner with product, risk, governance, security, and platform stakeholders to deliver trusted, production-ready capabilities.

Requirements - The available source describes senior technical and people leadership across multiple engineering teams, but does not provide specific qualifications or years of experience.