Job Summary:
As our Lead Software Engineer, you will collaborate with and shepherd software engineers, data scientists, and machine learning engineers, and will develop AI-based software solutions to better address the needs of our constituents (students, alumni, faculty, researchers, staff, and community at large). You will have the chance to guide and continuously improve the ways in which we engage, educate, and empower people around the world, combining the best of human touch and technology scale, exploring the use of everything from the latest generative AI models to blended and immersive environments, multi-modal and varied-form content, and the most innovative research and teaching methodologies.
Job-Specific Responsibilities:
- Develop production-ready software solutions that solve real business problems, taking into account business needs and technology/operations landscape; lead interaction with internal stakeholders and technology on specific projects and initiatives
- Apply software engineering, data science, machine learning, and AI techniques to derive business value from the full range of internal and external data, leveraging Cloud-based technology
- Design solutions, build initial code, and provide documentation with ways of working to minimize time to value and maximize re-usability
- Translate complex data and methodology into strategic, operationally feasible insights and recommendations; automate implementation
- Communicate clearly and effectively to technical and non-technical audiences, verbally and visually, to create understanding, engagement, and buy-in
- Identify trends and opportunities to drive innovation, both in what we do and how we do it; evaluate new software engineering, data science, machine learning, and AI technologies and tools that can boost team performance, innovation, and business value
- Manage, coach, and mentor a team of software engineers and data scientists, serving as a predominant technical expert
- Actively contribute to and re-use community best practices
- Embody the values and passions that characterize Harvard Business School, with empathy to engage with colleagues from a wide range of backgrounds
- Promote software engineering, data science, machine learning, AI, and digital and emerging technologies at Harvard Business School in relevant channels through community engagement, networking, speeches, and publications as applicable.
- Build trust and collaboration by being present on-site and engaging directly with colleagues and various constituents.
- This role is responsible for other duties as assigned.