Jobs at Securian Canada

Processes assigned insurance claims, performs initial eligibility and policy reviews, verifies claimant information, sends required forms, answers inquiries, communicates with insureds and stakeholders, and meets quality, confidentiality, security, KPI, and turnaround-time standards. The role requires fluent English and French communication, organization, attention to detail, customer service, computer skills, and the ability to manage multiple deadlines.

Build and maintain trusted analytical datasets, data marts, semantic models, certified metrics, and reusable data products. Develop scalable ELT transformations, data quality controls, testing, and governed business logic that support enterprise reporting, business intelligence, advanced analytics, and AI initiatives. Partner with technical and business teams, guide design practices, mentor colleagues, and translate requirements into reliable data solutions.

Lead Securian Canada’s enterprise analytics strategy, business intelligence, analytics engineering, and AI initiatives. Build scalable data products, KPI frameworks, semantic models, dashboards, and decision-support solutions. Advise executives, translate complex business challenges into actionable insights, establish responsible AI and data governance practices, and lead a multidisciplinary team while developing talent and fostering data-informed decision-making across the organization.

Leads Securian Canada's enterprise analytics strategy, decision support, business intelligence, analytics products, and AI-enabled solutions. Oversees analytical datasets, semantic models, KPI frameworks, reporting, governance, and responsible AI practices. Advises senior leaders, translates complex business challenges into actionable insights, and builds high-performing multidisciplinary teams spanning analytics, BI, reporting, and analytics engineering.

Build and maintain trusted analytical datasets, data marts, semantic models, certified metrics, and reusable data products. Develop scalable ELT transformations, data quality controls, automated testing, and governed business logic. Partner with analytics, BI, engineering, governance, and business teams to support enterprise reporting, advanced analytics, machine learning, and AI initiatives. Provide technical leadership, mentorship, and guidance while modernizing analytics capabilities and enabling consistent, self-service insights.