AI - Remote

Molina Healthcare•Long Beach, CA

3h•$87,569 - $189,732•Remote

About The Position

Molina Healthcare is seeking a Manager, Applications to lead a high-impact team responsible for ETL development, reporting support, and technical enablement across key TCIM workstreams. This is a people leadership role for a team with 10 direct reports and a blend of business and technical skill sets. The team develops ETL packages and reporting templates, provides technical guidance and support to the broader organization, and plays an active role in AI adoption and related technologies. This leader will oversee work supporting data pipelines and reporting tied to healthcare claims validation, pricing, and monitoring processes, with current work spanning Fee Schedule automation, SSIS-to-ADF migration, MRDT reference data, and MOOP/AVR support. We are looking for a hands-on, player-coach leader who can effectively guide technical work while also strengthening team execution, delivery processes, stakeholder alignment, and operational rigor. This role requires someone who can translate business needs into effective technical solutions and help a blended team succeed in a fast-moving environment with multiple priorities.

Requirements

Bachelor's Degree or equivalent combination of education and experience
5-7 years Application Development Experience and Management

Nice To Haves

Graduate Degree or equivalent combination of education and experience
7-9 years, Healthcare Industry
Microsoft Technology, Mobility, ITIL

Responsibilities

Lead and develop a team responsible for ETL packages, reporting, and technical support for TCIM-related workstreams.
Provide leadership across core areas including Fee Schedule processing, SSIS-to-ADF migration, MRDT data flows, and MOOP/AVR support.
Partner with business and technical stakeholders to convert requirements into practical, reliable technical solutions that support operational and business needs.
Support platform modernization efforts, including migration from SSIS to Azure Data Factory (ADF), and help drive execution planning across active workstreams.
Help advance the team’s use of AI technologies and AI adoption in support of automation and continuous improvement efforts.
Strengthen team operating rhythm, processes, prioritization, and delivery discipline across multiple active workstreams and backlog demands.
Support delivery quality through coordination across engineering, QA, product ownership, scrum leadership, and business stakeholders.
Identify and address resource constraints, bottlenecks, and delivery risks that affect timelines, quality, or execution.
Guide teams on application architecture, operational reliability, configuration-driven processing, and documentation expectations.
Foster stakeholder confidence through strong communication, clear prioritization, and disciplined execution.
Act as a hands-on technical leader who is comfortable rolling up their sleeves when needed to support or guide work involving Azure Data Factory (ADF), ETL pipelines, AI-enabled solutions, Visual Studio/development tooling, SQL, and reporting automation.
Act as a strong people and process leader who can build team clarity, improve execution, and bring structure to delivery across multiple workstreams.
Balance business awareness with technical depth and help translate business priorities into successful technical solutions.
Operate effectively in an environment with competing priorities, active modernization work, QA/UAT constraints, and evolving AI direction.
Lead in a player-coach model—supporting the team strategically while also being technically credible enough to advise on architecture, delivery, and troubleshooting when needed.