Overview:
In this role you will lead the enterprise data and analytics function to design, build, and optimize data platforms that support clinical, operational, and research needs. You will partner with cross-functional teams to align analytics capabilities with organizational goals, drive platform modernization, and ensure data quality, security, and governance. You will mentor engineers and architects, and translate business priorities into technical roadmaps that improve patient outcomes and performance. This is a mission-driven opportunity to shape data-enabled decision making in Children’s Health’s healthcare ecosystem. Compensation / Benefits remote work (Texas) employee savings plan match 4%-10% based on tenure Paid Parental Leave up to 12 weeks Caregiver Leave Adoption and surrogacy reimbursement premiums covered after 3 years
Responsibilities:
Lead and develop data engineering, cloud data engineering, integration engineering, and data architecture teams Oversee design, development, and operation of enterprise data platforms, warehouses, lakes, and integration frameworks Ensure scalable, secure, and cost-efficient data pipelines; drive platform modernization and cloud adoption Support Epic, ERP, operational, research, and external healthcare data initiatives with interoperability in mind Establish data governance, quality, stewardship, metadata, and lifecycle management; ensure HIPAA and privacy compliance Collaborate with stakeholders to translate objectives into technical roadmaps; manage vendor and partner relationships Participate in architecture and governance reviews and committees Support analytics, AI/ML, population health, and research through trusted data assets
Key requirements:
At least 5 years of experience supporting software analytic systems At least 2 years of experience in healthcare industry Bachelor's degree or equivalent experience Preferred: Master's degree or advanced degree or equivalent experience collaboration leadership mentoring and coaching Data platforms, data warehouses, data lakes, lakehouses Platform modernization and migration, cloud adoption Data governance, data quality, data security