• Partner with Analytics/Insights leaders to identify, size, and prioritize AI-assisted analytics opportunities (e.g., faster analysis, improved forecasting, automated anomaly detection, and narrative insights). • Own the roadmap for AI adoption within the analytics function, including milestones, dependencies, governance checkpoints, and measurable outcomes. • Establish an analytics use-case intake process and success metrics to track accuracy/quality, time-to-insight, stakeholder adoption, and incremental insight lift. • Partner with Data Engineering to deliver analytics-ready datasets (structured and unstructured) with strong quality, lineage, and documentation to support trusted analysis. • Develop and govern the Cortex Intelligence semantic layer to standardize entities, dimensions, metrics, and business logic for consistent reporting and AI-assisted insights. • Lead cross-functional delivery (within Analytics and with Data Engineering) for prioritized AI analytics use cases from requirements through launch and iteration (e.g., insight copilots, automated commentary, root-cause exploration, and anomaly detection). • Drive adoption through enablement (training, office hours, playbooks) and implement safe-response standards for analytics outputs (approved sources, citations as needed, confidence thresholds, and human review/escalation). • Enable AI/ML for analytical modeling (segmentation, forecasting, propensity/response, experimentation support) with performance monitoring, documentation, and governance.

• Strategy — Refine the ICP, pricing model, and product positioning • Customer Development — Lead pilots with practice owners and revenue cycle leaders, convert them to paid engagements, and build the go-to-market motion • Product — Partner with the FutureSight product and engineering team to ship V1 and iterate on user feedback • Capital — Lead the seed raise, supported by FutureSight's network and traction • Team — Recruit and lead the founding team, and establish the cultural foundation of the company

• Strategy — Refine the ICP, pricing model, and product positioning • Customer Development — Lead pilots with practice owners and revenue cycle leaders, convert them to paid engagements, and build the go-to-market motion • Product — Partner with the FutureSight product and engineering team to ship V1 and iterate on user feedback • Capital — Lead the seed raise, supported by FutureSight's network and traction • Team — Recruit and lead the founding team, and establish the cultural foundation of the company

• Strategy — Refine the ICP, pricing model, and product positioning • Customer Development — Lead pilots with practice owners and revenue cycle leaders, convert them to paid engagements, and build the go-to-market motion • Product — Partner with the FutureSight product and engineering team to ship V1 and iterate on user feedback • Capital — Lead the seed raise, supported by FutureSight's network and traction • Team — Recruit and lead the founding team, and establish the cultural foundation of the company