Responsibilities:

Drive GenAI Strategy: Develop and articulate a clear vision for how GenAI can deliver business value. This includes identifying high-impact use cases with measurable ROI, such as enhancing customer experiences or optimizing internal operations.
Bridge Technical and Business Domains: Translate complex AI concepts into actionable business insights. Serve as a liaison between engineering teams and executive leadership, ensuring alignment on goals, risks, and opportunities.
Manage Executive Expectations: Balance innovation with realistic execution. Focus on delivering measurable outcomes while building the infrastructure needed for long-term AI success. This role requires a forward-thinking leader who can guide teams through the evolving GenAI landscape, ensuring that innovation is both strategic and sustainable.
Team Management & Mentorship: Build and mentor high-performing engineering teams across multiple technology domains. Promote a culture of continuous learning, innovation, and best practices.

Required Experience & Education:

5 years of software engineering experience, including 5+ years in a leadership role.
Technical Expertise: Proficiency in Python and AWS is a must. Exposure to Generative AI either through hands-on experience or solid foundational knowledge is also essential. We re keen to evaluate their approach to solutioning, adherence to engineering best practices, and overall technical depth.
Strong problem-solving skills and ability to manage complex technical initiatives.
Design Thinking: Ability to architect and design scalable solutions. We ll assess how they approach system design when presented with real-world scenarios.
Leadership & Management Skills: Proven experience in managing teams, driving delivery against timelines, resource planning, and handling complex project scenarios. We re interested in understanding how they ve led teams through ambiguity and change.
Excellent problem-solving skills and the ability to analyze complex issues and implement effective solutions.
Domain Knowledge: Experience in healthcare is preferred. However, if the candidate isn t from a healthcare background, they should demonstrate a strong aptitude to learn and ideally have done some groundwork to understand the US healthcare ecosystem.
Soft Skills: Strong communication, collaboration, and stakeholder management abilities. We ll be looking for how they foster team culture and engage with cross-functional teams.
Education: Bachelor s or master s degree in computer science, Engineering, or related field.

Software Engineering Senior Manager - HIH - Evernorth