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Lead, Technology Strategy & Innovation (12 Months Contract)

omers · Toronto, Ontario · Canada · Hybrid

Pay: CAD 86,000 – 130,000 a year

Posted Oct 8, 2026

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Choose a workplace that empowers your impact.  Join a global workplace where employees thrive. One that embraces diversity of thought, expertise and experience. A place where you can personalize your employee journey to be — and deliver — your best.   We are a purpose-driven, dynamic and sustainable pension plan. An industry leading global investor with teams in Toronto to London, New York, Singapore, Sydney and other major cities across North America and Europe. We embody the values of our 665,000 members, placing their best interests at the heart of everything we do. Join us to accelerate your growth & development, prioritize wellness, build connections, and support the communities where we live and work. Don’t just work anywhere — come build tomorrow together with us. Know someone at OMERS or Oxford Properties? Great! If you're referred, have them submit your name through Workday first. Then, watch for a unique link in your email to apply.   Role Summary: This role reports into the Director, Customer Success & Innovation and is part of the Data & Technology (D&T) customer success and innovation function. In this role, you will help translate business priorities into practical technology, data, automation, and AI-enabled opportunities that improve outcomes for OMERS business partners. You will support customer roadmaps, synthesize requirements, prepare advisory materials, and help drive adoption of D&T products and services across investment-related workflows. You will be responsible for: Supporting the development of customer roadmaps that prioritize initiatives based on business impact, customer value, risk, and technology feasibility. Partnering with business teams to understand objectives, workflows, pain points, and opportunities where technology, data, automation, or AI can improve outcomes. Documenting business needs, user stories, requirements, adoption considerations, and decision points in a clear, action-oriented way. Building trusted relationships with business stakeholders and D&T teams to connect customer needs with available products, services, and expertise. Analyzing customer feedback, usage data, discovery insights, and workflow observations to identify themes, gaps, and continuous improvement opportunities. Identifying practical AI enablement opportunities across research, due diligence, knowledge management, reporting, workflow automation, portfolio monitoring, and document-intensive processes. Helping business teams understand appropriate AI use cases, limitations, risks, and adoption considerations, including generative AI assistants and emerging agentic workflows. Leading workstream-level analysis, discovery interviews, workshops, and problem-solving sessions with cross-functional teams and subject matter experts. Synthesizing findings into clear insights, options, recommendations, and implementation considerations for business and technology stakeholders. Supporting…