Jobs at WellBe Senior Medical

Owns delivery of WellBe’s data project portfolio, including pipelines, migrations, integrations, reporting, and BI initiatives. Translates business needs into technical requirements, manages dependencies, coordinates payer and vendor data feeds, leads Scrum ceremonies, and oversees validation, reconciliation, data quality, security, compliance, and production readiness. The role also manages prioritization, risks, issues, and stakeholder communication across data engineering, analytics, and business teams.

Owns delivery of the Heritage technical platform roadmap, coordinating engineering dependencies, releases, production support, risk management, Agile ceremonies, technical documentation, go-live, and hypercare. The role translates technical details and delivery metrics into clear leadership reporting while investigating issues through code, SQL, logs, and monitoring.

Leads integration of healthcare payer feeds and internal enterprise data into WellBe’s data platforms. Responsibilities include data mapping, transformation, validation, normalization, quality monitoring, governance, metadata and lineage management, requirements gathering, and supporting ingestion pipeline delivery. The role partners with engineering and analytics teams, serves as a subject matter expert, and ensures reliable data for value-based care, reporting, and operational use cases.

Leads data engineering strategy and mentors an analytics engineering team. Designs scalable ELT pipelines, warehouse integrations, data models, API ingestion workflows, and data quality frameworks using cloud and database technologies. Conducts exploratory analysis, supports dashboards and analytical solutions, monitors warehouse performance and costs, and ensures data governance, security, and compliance. Collaborates with data scientists, analysts, engineers, and business stakeholders to deliver healthcare analytics solutions.

Designs and maintains ELT pipelines, warehouse integrations, data models, and data quality processes. Collaborates with data scientists, analysts, engineers, and stakeholders to deliver scalable analytical solutions. Responsibilities include data integration, governance, security, performance optimization, exploratory analysis, visualization, and cloud-based API ingestion. Requires strong SQL, DBT, Snowflake, Azure Data Factory, cloud, and scripting experience, plus leadership and communication skills.