Engineering Excellence Lead driving application development modernization at SAS. Collaborating across teams to embed technical excellence and improve engineering practices.
QS
Hybrid Director, Product Technology – Engineering
Posted 4 months ago
About the role
- Director leading product technology and engineering initiatives in higher education. Overseeing teams and developing innovative solutions for institutional clients with a focus on data-driven platforms.
Responsibilities
- Shape the future of higher education through data solutions
- Lead the product and platform engineering and technology agenda for QS’s government, institutional, and enterprise clients
- Oversee global engineering teams responsible for building, scaling, and maintaining both internal systems and client-facing platforms
- Collaborate closely with domain experts across rankings, reputation, skills, innovation, and student recruitment
- Work with QS’s Data Science, AI, and Analytics groups to integrate advanced capabilities into products
- Lead and mentor a diverse global team of engineering talent, fostering a culture of innovation and continuous improvement
- Manage the architecture, performance, security and ongoing development of QS’ B2B platforms
- Directly oversee infrastructure teams managing AWS and other cloud compute environments
- Drive adoption of modern technology stacks including AWS, cloud-native services, React, and JavaScript
- Implement changes to enterprise architecture toward an AI-first DaaS portfolio
- Oversee scoping, management and delivery of complex technical projects
Requirements
- Master’s level degree in Computer Science, Software Engineering, Information Technology or equivalent fields
- Deep technical expertise in AWS, cloud infrastructure, and modern web technologies
- Proven track record of leading distributed engineering teams at scale
- Experience in architecting, building, and operating scalable, distributed data platforms
- Experience in managing infrastructure and platform reliability in complex global environments
- Understanding of the applicability of AI to transform Data-as-a-Service models
- Relevant experience of technical development of AI use cases via new products or features
- Strong ability to work across functions, balancing technical excellence with business and customer needs
- Strong customer focus and commercial acumen with an outcome orientation and a track record of establishing and monitoring against robust productivity and impact measures
- Proven experience in leading Engineering teams and instilling leading practices into development cycles
- Track record of scaling DaaS or SaaS in terms of their usage and commercial value
- Strong communicator, able to work with breakdown complex concepts and explain the implications for non-specialists
Benefits
- Competitive base salary
- Access to an annual bonus scheme (for qualifying roles only)
- 25 days annual leave, plus bank holidays – increasing to 27 days after 5 years’
- Access to a Buy Holiday scheme allowing you to buy up to 5 additional holiday days per year
- Enhanced maternity and paternity leave
- Generous pension through Royal London
- Comprehensive private medical insurance and wellness scheme through Vitality
- Access to QSmiles – a discount scheme that actually makes a significant difference
- Cycle to work scheme
- A vibrant social environment and multicultural and multinational culture
- Free subscription to the Calm App – the #1 app for sleep, meditation, and relaxation
- A focus on welfare which is led by our global wellness team, with mental health first aiders globally
- Access to a variety of diversity and inclusion initiatives and groups
- Strong recognition and reward programs – including a peer-to-peer recognition platform, quarterly and annual QS Applaud Awards, Connect with your Career annual PD event
- Support for volunteering and study leave
- Free subscription to LinkedIn learning – with over 5000 courses and programmes at your fingertips
- Options to join our outstanding global Mentorship programme
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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