About this role
About the position
As Oxford enters a period of significant transformation, we are seeking a visionary, pragmatic executive to lead Global Technology, Data & AI. This role is accountable for shaping and executing Oxford’s enterprise technology strategy, evolving our operating model, and ensuring technology is a true business enabler across investments, development, operations, and corporate functions. Just as importantly, this leader will bring clarity, discipline, and engagement to a global organization navigating change.
Responsibilities
• Define and execute a future ready technology, data, and AI strategy aligned with Oxford’s business priorities and growth ambitions.
• Lead the evolution of Oxford’s Data & Technology operating model through ERP and platform transformation, balancing innovation with resilience and execution discipline.
• Establish a strong, outcome driven business partnering model that ensures technology investments deliver measurable business value across the enterprise.
• Build scalable enterprise data platforms and advance analytics, automation, and AI — including LLM enabled capabilities — with a strong focus on governance, security, and responsible use.
• Build, lead, and inspire a high performing global team of technology and business professionals, fostering collaboration, continuous improvement, and strong leadership bench strength.
• Partner closely with the OMERS Data & Technology team and enterprise Centers of Excellence to deliver aligned, scalable, and enterprise wide outcomes.
Requirements
• Bachelor's degree in Computer Science, Engineering, Information Systems or a related field; advanced degree in Technology or MBA preferred
• 10-15+ years of progressive leadership experience in technology, with at least 8+ years of leading large, complex teams
• Proven ability to lead organizations through significant transformation and change
• Strong communicator with the ability to translate complex technical concepts into clear business language
• Demonstrated track record of innovation, modernization, and large scale program delivery
• Deep understanding of asset centric operations, capital projects, portfolio data, and property systems
• Strong partnership across investment, development, property management, and finance
• Deep experience in data architecture, governance, advanced analytics, and AI
• Proven capability in developing and deploying applications, automation, and AI within SDLC and risk frameworks
Nice-to-haves
• ITIL, NIST or other technology-related certifications considered an asset
Benefits
• accelerate your growth & development
• prioritize wellness
• build connections
• support the communities where we live and work