Remote Senior Data Engineering Lead

bannerhealth; United States; On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Remote work

Job summary

Banner Health is seeking a Data Engineering Lead in the IT ClinApps Insurance Division. You will partner with the business to gather requirements, evaluate, develop, and implement solutions that meet customer needs while aligning with enterprise data standards.

Collaborate with multiple IT teams and subject matter experts, prioritize projects, monitor progress, and ensure appropriate resourcing to deliver on time.

Responsibilities

• Business Outcomes: Relentless focus on delivering outcomes and value to our business. Partners across organization and related functional areas to understand internal customer needs related to service excellence, including but not limited to analytical, technology and reporting needs; determine the appropriate course of action; make recommendations in an actionable format including to senior management, to achieve desired business results.
• Technology Standards: Establishes and defines processes, documentation and standards for quality, and provides expert advice to ensure adherence to critical operating standards; mentors junior members of the team; Provides leadership for customers, information technology staff and various committees guiding the design, implementation and maintenance of complex application and system specifications and processes. Participates and may lead task forces to plan, implement, and coordinate facility activities to maximize information technology service quality, effectiveness and efficiency.
• Innovation and Futures: Analyzes and reports on complex customer needs. Manages and supports the identification and research of new developments and uses of current systems and applications, as we

Job description

Banner Health is seeking a Data Engineering Lead in the IT ClinApps Insurance Division. You will partner with the business to gather requirements, evaluate, develop, and implement solutions that meet customer needs while aligning with enterprise data standards.

Collaborate with multiple IT teams and subject matter experts, prioritize projects, monitor progress, and ensure appropriate resourcing to deliver on time.