Lead Software Engineer, Digital Transformation Job at HBS (Boston)

Job Description

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 Responsibility

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

Requirements

Minimum of seven years’ post-secondary education or relevant work experience
Bachelor’s/Advanced Degree in Mathematics, Physics, Computer Science, Engineering, Statistics, or 7+ years equivalent work experience
3-5 years of experience in developing a variety of software products in a commercial environment
2+ years of experience in building generative AI-based products
Strong Python and Typescript/JavaScript skills required
Expertise in multivariate statistical modelling (e.g., clustering, regression, principal components and factor analysis, time-series forecasting, Bayesian methods) and modern machine learning (ensemble methods, regularization, gradient boosting, representation learning, deep neural networks, transformers architectures, self-supervised learning, and MLOps fundamentals) required
Experience with cloud computing platforms (AWS, GCP, or other), or equivalent on-premise platform
Experience working in agile methodology is required
Prior experience in leading data science and machine learning based software development projects focused on solving business problems and seizing business opportunities

Nice to have

Proficiency in SQL desirable
Ability to mentor and lead others
provide hands-on technical guidance
conduct code reviews
Ability to simultaneously coordinate and track multiple deliverables, tasks, and dependencies across multiple stakeholders / business areas
Experience with deep learning and neural network architectures (e.g., CNNs, RNNs, transformers), including generative and self-supervised models, and with frameworks such as TensorFlow or PyTorch is desirable
Proficiency with data visualization tools is desirable

What we offer

Generous paid time off including parental leave
Medical, dental, and vision health insurance coverage starting on day one
Retirement plans with university contributions
Wellbeing and mental health resources
Support for families and caregivers
Professional development opportunities including tuition assistance and reimbursement
Commuter benefits, discounts and campus perks

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Lead Software Engineer, Digital Transformation

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