Top Tech Jobs & Startup Jobs in Toronto

Administer, engineer, support, and improve enterprise IAM and authentication platforms, including Okta MFA, Okta OAuth, and Transmit Security MFA. Responsibilities include platform monitoring, incident resolution, access management, OAuth/OIDC integrations, MFA policy implementation, identity federation, API automation, security compliance, vulnerability remediation, upgrades, change management, and stakeholder support. The role requires participation in on-call support and obtaining Reliability Status Clearance.

Lead global CX and marketing strategy, planning, and governance as chief of staff to the CXMO. Drive integrated annual and quarterly planning, executive reporting, strategic narratives, market intelligence, and cross‑functional alignment. Manage a small strategy team, partner with business groups globally, and lead initiatives to improve planning maturity, performance management, and customer experience outcomes.

Join the e-Business Application Operations Support team to improve reliability of Java-based digital systems. Lead incident response, implement monitoring and automation, manage releases and capacity, participate in on-call rotation, and collaborate across engineering, security, and operations to reduce MTTR and ensure scalable, secure, fault-tolerant services.

Leads and grows a multidisciplinary digital experience design team supporting mobile, web, and conversational AI products. Establishes design strategy, quality standards, scalable design systems, accessibility, and user research practices. Partners with Product, Technology, Marketing, Research, and Data leaders to influence roadmaps and demonstrate business impact. Drives AI-enabled design workflows, coaches designers, builds team culture, and provides thought leadership across Sun Life Canada’s digital transformation.

Leads the operational strategy, reliability, security, compliance, support, incident management, and continuous improvement of Workday and other HR technology systems. Oversees cyclical HR processes, biannual Workday releases, operational readiness, access controls, audits, change management, service restoration, root cause analysis, and stakeholder communications. Builds and develops multidisciplinary teams while partnering with HR, risk, business, and technology leaders.

Leads enterprise-wide digital marketing measurement, performance optimization, analytics, governance, reporting, and data visualization. Establishes KPIs, measurement frameworks, benchmarks, tagging standards, and privacy-compliant data practices across digital channels. Builds dashboards, predictive models, and self-service analytics capabilities while identifying opportunities to improve conversion, engagement, and ROI. Manages two direct reports, develops an analytics center of excellence, influences global stakeholders, and oversees vendors and complex initiatives.

Lead enterprise process transformation initiatives by designing operating models, facilitating stakeholder workshops, assessing current states, simplifying processes, and identifying automation and generative AI opportunities. Develop business cases, roadmaps, success measures, and target-state designs while partnering with technology and data teams to implement intelligent workflows and agents. Independently manage complex initiatives, communicate recommendations, and deliver measurable operational outcomes across business units.

Lead enterprise AI architecture: define strategy, target-state architectures, standards, roadmaps, and governance. Align AI investments, reduce duplication, ensure regulatory and risk compliance, and drive reusable platforms. Advise executives, chair governance, mentor architecture teams, and measure business value from AI initiatives while enabling responsible, scalable deployment across the organization.

Builds enterprise data products, models, ETL pipelines, and data flows supporting analytics and data science use cases. Maintains data quality, integrity, governance, metadata, and documentation across client, advisor, product, and transaction data. Partners with business stakeholders, data analysts, data scientists, governance teams, and risk partners to translate requirements into scalable solutions and optimize Spark and SQL performance.

Leads the strategy, architecture, engineering, and delivery of enterprise data and AI platforms, including global data architecture, governance, self-service data products, and agentic AI infrastructure. Establishes responsible AI standards, enables production AI use cases, manages budgets and resources, evaluates emerging technologies, and leads and develops a high-performing global team while partnering with executives and technology stakeholders.