> Markdown version of [/jobs/ext/3852525-lead-technology-leadership-professional-for-the-wellness-go365-team](https://www.wearedevelopers.com/jobs/ext/3852525-lead-technology-leadership-professional-for-the-wellness-go365-team). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Technology Leadership Professional for the Wellness/Go365 Team - **Company:** Humana Inc. - **Location:** Dallas, TX, United States (Remote available) - **Experience:** Expert - **Salary:** $117,600.0 - $161,700.0 - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Applications Architecture, Unit Testing, Microsoft Azure, Cloud Computing, Software Quality, Computer Engineering, Node.Js, Scrum Methodology, Reliability Engineering, Software Tools, Mockito, Software Engineering, Systems Integration, Technical Debt, Vue.js, Apache Kafka - **Published:** October 21, 2026 - **Apply:** https://humana.wd5.myworkdayjobs.com/Humana_External_Career_Site/job/Dallas-TX/Lead-Technology-Leadership-Professional-for-the-Wellness-Go365-Team_R-434168 ## About the Role * Bachelor's degree in computer science and engineering or any relevant field * 2 or more years of project leadership experience * 5 or more years of experience with the technologies in use in the application(s) or infrastructure * Experience with unit testing and mocking * Ability to manage multiple tasks and deadlines with attention to detail. * Ability to communicate effectively and deliver presentations to senior leaders * Advanced experience leading special projects and producing metrics, measurements and trend reports * Must be passionate about contributing to an organization focused on continuously improving consumer experiences * Experience leveraging AI-enabled tools and championing responsible AI adoption to improve team productivity, innovation, and delivery * 5 or more years of experience with Node.js, Kafka, Azure Cloud, Vue.js, JavaScript, * MBA or other Advanced Degree in computer science and engineering or any relevant field * Demonstrated ability to run large scale, highly visible programs with responsibility for multiple project teams * Possess a solid understanding of operations, technology, communications and processes * Six Sigma certification * ITIL certification ## Description The Lead Technology Leadership Professional is responsible for all aspects of software or hardware product delivery and performance. The Lead Technology Leadership Professional works on problems of diverse scope and complexity ranging from moderate to substantial. The Lead Technology Leadership Professional provides hands-on technical leadership across multiple Scrum teams and is accountable for driving effective technology delivery from planning through implementation. This role serves as a key technical go-to person, helping teams translate business needs and architectural direction into executable solutions while ensuring quality, reliability, and timely delivery., * Provide technical and delivery leadership across multiple Scrum teams, driving execution, accountability, and engineering excellence. * Serve as a go-to technical leader for complex issues, helping teams make informed decisions and move work forward. * Partner closely with architects, software engineers, product teams, SRE, security, infrastructure, and other internal and external technology teams. * Identify and remove technical and organizational obstacles, manage dependencies, and drive complex issues through resolution. * Provide hands-on technical guidance, including reviewing solution approaches and applying a strong understanding of application architecture, APIs, integrations, cloud technologies, and engineering practices. * Drive alignment with enterprise architecture, security, engineering standards, and technology strategy. * Champion the hands-on adoption of AI-assisted engineering tools and practices to improve developer productivity, software quality, problem-solving, and delivery efficiency. * Encourage engineering teams to identify practical opportunities to use AI across the software development lifecycle, while promoting responsible and secure usage. * Drive continuous improvement, modernization, automation, technical debt reduction, application reliability, and operational excellence. * Exercise independent judgment on complex technology and delivery issues and determine the best course of action with minimal supervision. * Communicate effectively with engineering teams, business partners, external teams, and leadership, translating technical complexity into clear actions and business outcomes.