Lead Technology Leadership Professional

Humana•Work at Home - Kentucky, KY

3d•$117,600 - $161,700•Remote

About The Position

The Lead Technology Leadership Professional is a senior delivery and technical leadership role within the AI & Operations Engineering team. The role leads a team delivering AI-enabled products and engineering solutions that improve operational efficiency, reduce manual toil, and enhance support and operations teams’ effectiveness. It is responsible for all aspects of software or hardware product delivery and performance, and addresses problems of diverse scope and complexity ranging from moderate to substantial. Working at the intersection of product, architecture, and engineering execution, this position partners with product managers, architects, technical leads, developers, and senior leaders to understand technical designs, shape and maintain feature roadmaps, and drive delivery using Agile practices. The role helps keep the team aligned to priorities, meet sprint and release commitments, proactively manage risks and dependencies, and deliver high-quality, production-ready solutions. It requires technical understanding, product delivery discipline, Agile execution, and effective communication with technical teams and senior leaders. This is a remote position with occasional travel to Humana offices for training or meetings. Home or hybrid home/office employees must work from a dedicated space that protects member PHI/HIPAA information and have internet service with at least 25 Mbps download and 10 Mbps upload speed. The position is scheduled for 40 hours per week. The stated starting base pay range is $117,600–$161,700 per year, with eligibility for a bonus incentive plan.

Requirements

Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field, or an equivalent combination of education and experience.
8+ years of experience leading Agile software engineering, platform engineering, automation engineering, or technology delivery teams.
5+ years of experience in software engineering, application engineering, site reliability engineering, automation engineering, platform engineering, or a related technical discipline.
Proven experience leading end-to-end delivery of enterprise technology products, platforms, or engineering solutions from planning and design through production release and support.
Strong experience partnering with Product Managers, Architects, Engineers, and business stakeholders to prioritize work, manage roadmaps, and drive delivery outcomes.
Ability to translate technical architectures, solution designs, and business requirements into roadmaps, epics, user stories, sprint plans, and delivery milestones.
Deep understanding of Agile methodologies, SDLC, backlog management, sprint execution, release planning, risk management, and production support processes.
Hands-on experience with modern application and data technologies such as Python, SQL, APIs, Angular or similar front-end frameworks, Databricks, SSIS, and enterprise integration platforms.
Experience managing complex dependencies, resolving delivery blockers, and maintaining execution momentum across multiple initiatives and cross-functional teams.
Strong communication and stakeholder management skills, including the ability to present technical concepts, delivery risks, and strategic recommendations to technical and executive audiences.
Proven success in large, matrixed enterprise environments with multiple stakeholders, competing priorities, and evolving business needs.

Nice To Haves

Experience delivering AI-enabled, ML-enabled, or generative AI-enabled applications in an enterprise environment.
Familiarity with enterprise AI gateways, model integration patterns, prompt-driven experiences, retrieval-based patterns, or model selection considerations.
Experience building products or automations supporting operations, support engineering, incident response, knowledge access, or workflow efficiency.
Working knowledge of cloud platforms, observability practices, automation frameworks, and operational reliability concepts.
Experience in regulated environments with strong security, privacy, and compliance expectations.
Experience using Agile planning and delivery tools such as Jira, Azure DevOps, or similar platforms.

Responsibilities

Lead delivery of AI-enabled products, automations, and engineering solutions.
Partner with stakeholders to define and manage product roadmaps and delivery priorities.
Translate business needs and technical designs into actionable features, user stories, and sprint plans.
Drive Agile processes, including backlog management, sprint planning, delivery tracking, and release readiness.
Identify and mitigate risks, dependencies, and blockers to ensure successful delivery.
Collaborate with Product Managers, Architects, Engineers, and senior leadership to align on priorities and outcomes.
Oversee solutions leveraging technologies such as Python, SQL, Angular, Databricks, APIs, and enterprise AI platforms.
Ensure solutions meet enterprise standards for security, reliability, compliance, and operational readiness.
Communicate progress, risks, and key decisions to technical and non-technical stakeholders.
Support production deployments, operational improvements, and continuous enhancement efforts.
Champion accountability, engineering excellence, innovation, and continuous improvement.