AVP, Engineering & Delivery

The AVP, Engineering & Delivery at NeueHealth is responsible for leading and mentoring engineering teams, owning solution architecture, acting as a Scrum Master, and driving best practices in DevOps and cloud infrastructure. This role involves collaborating with product leaders to ensure that engineering efforts align with business strategies and overseeing agile processes to optimize workflows.

To be considered for the AVP, Engineering & Delivery position at NeueHealth, candidates should hold a Bachelor’s degree in computer science or a related field, with a master’s degree preferred. Additionally, a minimum of 10 years of experience in software engineering, including 5 years in a leadership role, and strong expertise in cloud computing and DevOps practices are required.

Essential technical skills for the AVP, Engineering & Delivery at NeueHealth include expertise in cloud computing environments like Azure, AWS, or GCP, as well as proficiency in DevOps practices and CI/CD pipeline development. Familiarity with full-stack development and programming languages such as Java, Python, C#, or JavaScript is also crucial.

The AVP, Engineering & Delivery contributes to company growth at NeueHealth by developing long-term technology roadmaps in partnership with executive leadership. This role ensures that engineering efforts are aligned with business strategies, promoting innovation and efficiency in delivering high-quality healthcare solutions.

The AVP, Engineering & Delivery at NeueHealth works in a remote environment that fosters collaboration and innovation. The role emphasizes a high-performing engineering culture, where team members are supported in their professional development, agile methodologies are embraced, and flexibility to manage competing priorities is valued.

In answering this question, focus on providing specific examples of leadership experiences, including how you accepted challenges, the strategies you implemented to mentor your team, and how you ensured successful project delivery. Discuss your methods for fostering a positive team culture and ways you accommodated diverse skill levels.

Share how you prioritize communication with product leaders and stakeholders, emphasizing how feedback loops are established to adjust engineering priorities. Highlight how data-driven decisions and regular alignment meetings support achieving business goals through engineering.

Discuss your familiarity with various DevOps tools and processes, explaining how you assess and implement best practices. Describe examples of measures you've taken to enhance CI/CD pipelines or reduce downtime, and cite specific outcomes of those initiatives.

Prepare to discuss a specific instance where you made a significant architectural decision, explaining the factors involved, the challenges faced, and how you influenced your team or stakeholders to arrive at a solution. Highlight the successful outcome and its impact on the overall project.

In this response, you might mention techniques like hackathons, encouraging continuous learning through training and resources, and creating an environment that values experimentation. Offer examples of how these methods have led to innovative solutions and improvements in team performance.

Illustrate strategies you use to assess urgency and importance, perhaps using project management tools or prioritization frameworks. Discuss your experience handling under-pressure situations, ensuring that deliverables are met while maintaining team morale.

Discuss specific agile frameworks you've used, such as Scrum or Kanban, mentioning how you adapted those methodologies to suit your team dynamics. Provide insights into the results of those implementations and how they impacted overall productivity.

Highlight the importance of understanding individual learning styles and tailoring your mentoring approach. Share experiences where you've guided junior engineers through code reviews, personal development plans, or pair programming sessions and how it contributed to their growth.

Talk about best practices you have implemented for monitoring and maintaining software systems, such as using automated testing frameworks, performance tracking, and system logging. Provide examples of how you've responded to system outages or inefficiencies in the past.

Discuss metrics you consider key for performance tracking, including delivery speed, bug counts, and team velocity. Explain how you utilize data insights to identify areas for improvement and maintain high-quality standards during software delivery.