• Lead, coach, and develop a team of analytics engineers and/or data engineers with a focus on technical excellence, delivery velocity, and collaborative culture. • Ensure on-time delivery of client data integrations by owning enterprise data model standards and maintaining consistent, governed data definitions. • Oversee client data pipelines using modern tooling (dbt, Airflow, Snowflake, AWS, Python) to ensure reliable operation and uptime. • Drive client integration delivery speed by implementing automation, reusable patterns, and clear runbooks to directly optimize client onboarding timelines. • Establish and enforce SLOs/SLAs, instrument critical paths, and drive incident reduction via proactive monitoring, alerting, and post‑incident reviews. • Implement comprehensive data quality and testing frameworks (schema, nullability, referential integrity, reconciliation) and lineage observability. • Collaborate cross‑functionally (Product, Clinical, Data Science, Engineering) to prioritize roadmaps, land measurable outcomes, and manage tradeoffs. • Manage high-volume client integration requests, triaging and prioritizing tickets based on client impact, urgency, and business value while maintaining clear communication on resolution timelines. • Own daily operations rhythm including ticket review, resource allocation, escalation management, and stakeholder updates to ensure client integration commitments are met. • Drive operational metrics and reporting on integration delivery performance, ticket resolution times, and team capacity to identify bottlenecks and improve client outcomes.