Who We Are

Simon Fraser University is a leading research university, advancing an inclusive and sustainable future. Our purpose – the essence of SFU – is to create and connect knowledge, learning and community for deeper understanding and meaningful impact. We are committed to fostering excellence, innovation, belonging and community in all that we do.

Simon Fraser University leverages the power of big data so Canada can lead in a digital world. With over a decade of leadership in the big data field, SFU’s Big Data Hub engages with our partners to fill critical talent shortages, generate new knowledge and contribute to an innovative economy. We connect government, industry and the community to deliver data-driven solutions to challenging problems. As a university-wide core facility, we are empowering people to use data for impact and social good to solve global challenges and transform society.

About the Role

The Senior Developer, Data and AI provides advanced technical delivery leadership for SFU’s Big Data Hub (BDH) and the AI Support Hub. The role leads the execution of complex applied data and AI projects, translating approved proposals, institutional priorities, and partner commitments into technical delivery plans, and overseeing implementation across developers and student teams. The Senior Developer, Data and AI acts as the technical execution lead across BDH’s growing project portfolio, ensuring high-quality, timely, and sustainable delivery of complex initiatives. The role bridges strategic technical direction and hands-on development, enabling BDH to scale its services, support institutional AI programs, and reduce delivery risk as internal and external demand increases.

Full Job Description

Qualifications

Master's degree in Computing Science, Data Science, Engineering, or a related discipline, and six years of progressively responsible experience in applied software development, data engineering, or AI-focused roles; or an equivalent combination of education, training, and experience.

• Demonstrated experience leading technical delivery across complex, multi-project environments.
• Strong experience designing, implementing, and overseeing complex technical solutions.
• Experience contributing to proposals, technical scoping, and solution planning.
• Advanced knowledge of data engineering, analytics, and applied AI development practices.
• Expert knowledge on the latest AI technology and tools for technical workflows.
• Strong analytical, problem-solving, and organizational skills.
• Excellent communication skills with the ability to translate technical concepts to non-technical audiences.
• Demonstrated ability to mentor technical staff and lead delivery teams.
• Ability to manage multiple projects and priorities, and adapt to an environment with rapidly shifting priorities.
• Ability to work collaboratively across institutional units and adapt in a rapidly evolving technical environment.

What We Offer

At SFU, our goal is to ensure our people are valued and supported by promoting a healthy work-life balance, professional growth and development, as well as a safe and respectful workplace. We offer continuing employees who belong in the Administrative & Professional Staff Association (APSA):

• 4 weeks’ vacation (prorated for the first year)*
• Hybrid-work program for eligible positions
• Employer paid defined benefit pension plan
• On-campus tuition waiver for employees and their immediate family members*
• Off-campus tuition reimbursements and professional development funds*
• And more! View our benefits brochure

*Prorated for part-time employees

Additional Information

Please include your cover letter and resume in one attachment.

SFU is an equity employer and strongly encourages applications from all qualified individuals including women, Indigenous Peoples, visible minorities, people of all sexual orientations and gender identities, persons with disabilities, and others who may contribute to the further diversification of the university.

We are committed to ensuring that the application and interview process is accessible to all applicants. If you require any assistance or accommodations, please contact pei_reception@sfu.ca.