The Lead Technology Leadership Professional provides strategic leadership and deep technical expertise to drive application reliability, observability, and operational excellence across enterprise-scale platforms. This role partners closely with engineering, architecture, infrastructure, and business teams to ensure solutions are reliable, scalable, secure, and aligned with business objectives.
As a key technical leader, you will guide reliability engineering, monitoring strategies, incident management, automation initiatives, and operational readiness efforts while influencing technology direction across multiple stakeholder groups. You will also identify opportunities to leverage AI, automation, and modern observability practices to improve system performance, engineering productivity, and operational outcomes.
Key Responsibilities- Provide strategic and technical leadership for enterprise applications and technology operations, ensuring reliability, scalability, and operational excellence.
- Lead product validation, qualification, and production readiness activities to ensure compliance, quality, and operational requirements are met before release.
- Partner with engineering, infrastructure, cloud, security, manufacturing, quality, and business stakeholders to deliver technology solutions aligned with organizational objectives.
- Serve as a senior technical advisor, driving resolution of complex production, application, and operational challenges.
- Establish and promote best practices for Application Reliability & Operations Engineering, including observability, incident management, problem management, resiliency, and continuous improvement.
- Lead the design, implementation, and optimization of monitoring and observability solutions using Splunk and related technologies.
- Drive automation initiatives leveraging Python, PowerShell, Bash, APIs, AI, and Generative AI to improve operational efficiency, troubleshooting, and engineering productivity.
- Evaluate emerging technologies and develop recommendations that balance technical requirements, business priorities, risk, and long-term strategy.
- Improve application performance, availability, disaster recovery readiness, capacity planning, and operational resilience across cloud and on-premises environments.
- Collaborate with cybersecurity, risk, governance, and data privacy teams to ensure compliance with organizational and regulatory standards.
- Analyze operational metrics, system performance, and telemetry data to identify trends, risks, and opportunities for optimization.
- Influence technical direction and architectural decisions across multiple teams and technology domains.
- Mentor and guide engineering teams in adopting modern operational practices, observability standards, and automation capabilities.
- Communicate technical strategies, risks, and recommendations effectively to senior leadership and non-technical stakeholders.
- Lead continuous improvement initiatives that drive measurable business outcomes, service reliability, and operational efficiency.
Use your skills to make an impact Required Qualifications- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent combination of education and experience.
- 10+ years of experience supporting, engineering, or leading enterprise-scale applications, platforms, or technology operations.
- 5+ years of experience leading large-scale technology initiatives, reliability engineering programs, observability functions, or operational excellence initiatives across multiple teams and stakeholders.
- Strong understanding of Application Reliability & Operations Engineering, including application availability, resiliency, observability, operational readiness, incident management, problem management, automation, and continuous improvement.
- Hands-on experience with Enterprise Observability platforms, including 5+ years of experience with Splunk, covering architecture, data ingestion, indexing, SPL, dashboards, alerting, administration, and troubleshooting.
- Experience working across application, infrastructure, cloud, and production technology environments.
- 3+ years of experience with automation and scripting technologies such as Python, PowerShell, Bash, APIs, or comparable tools.
- Experience with modern observability technologies such as Splunk, OpenTelemetry, APM, cloud monitoring, and telemetry platforms.
- Working knowledge of Artificial Intelligence (AI), Generative AI, and intelligent automation, including practical application in technology operations, incident management, and engineering productivity.
- Demonstrated ability to identify and implement AI and automation opportunities that improve operational efficiency, troubleshooting, support, and decision-making.
- Strong understanding of cybersecurity, data privacy, AI governance, risk management, and responsible technology practices.
- Proven ability to influence technical strategy and lead cross-functional collaboration across engineering, architecture, infrastructure, operations, and business teams.
- Excellent communication skills with the ability to translate complex technical concepts into actionable business recommendations for both technical and executive audiences.
- Experience with public cloud platforms, Kubernetes, containers, CI/CD pipelines, infrastructure automation, APIs, and modern application architectures.
Preferred Qualifications- Master's degree in Computer Science, Engineering, Artificial Intelligence, Information Technology, or related discipline.
- Experience leading enterprise observability, SRE, platform engineering, reliability engineering, or technology operations teams.
- Experience improving application resilience through capacity planning, performance engineering, disaster recovery, operational readiness, and proactive monitoring.
- Experience utilizing AI or Generative AI solutions to improve monitoring, incident response, root cause analysis, and operational support.
- Strong understanding of IT Service Management (ITSM), cloud technologies, cybersecurity, architecture, and continuous improvement practices.
- Proven ability to connect technology investments and operational improvements to measurable business outcomes.
- ITIL, Six Sigma, Splunk, Kubernetes, cloud, or related industry certifications preferred.
Scheduled Weekly Hours40
Pay RangeThe compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.
$117,600 - $161,700 per year
This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.
Description of BenefitsHumana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities.
