Securian Canada

Director

• Define and execute an analytics and insights roadmap aligned with enterprise, market, customer, and partner priorities
• Transform strategic business questions into analytical opportunities, KPI frameworks, data requirements, and decision-support solutions
• Deliver insights into business performance, customer behaviour, claims experience, product results, portfolio trends, operational effectiveness, and emerging risks
• Translate complex findings into recommendations and executive-ready narratives
• Establish scalable practices that improve prioritization, delivery, adoption, value realization, and continuous improvement
• Lead the evolution from fragmented reporting toward trusted, enterprise-scale analytics products
• Oversee curated datasets, semantic models, certified metrics, dashboards, scorecards, and client-facing reporting solutions
• Partner with Data Pipeline Engineering, Technology, Governance, Finance, and business leaders
• Improve self-service analytics while reducing manual effort, duplicated logic, and disconnected solutions
• Identify opportunities for advanced analytics, machine learning, predictive modeling, and AI to create business value
• Establish governance, controls, explainability, data quality standards, and operating requirements for responsible AI and advanced analytics
• Guide innovative solutions from ideation through implementation
• Lead, coach, and inspire a multidisciplinary team across analytics, insights, business intelligence, reporting, and analytics engineering
• Foster analytical excellence, collaboration, accountability, continuous learning, and business partnership
• Serve as a trusted advisor to senior leaders and connect business priorities to data-driven solutions
• Build relationships across Data Solutions, Technology, Finance, Operations, and business teams
• Champion a data-informed culture across the organization

Director, Analytics & Insights

Business Intelligence Analyst

• Define and implement an analytics and business intelligence roadmap aligned with the company’s priorities
• Translate strategic business questions into analytical opportunities, KPI frameworks, data requirements, and decision-support solutions
• Deliver analyses on business performance, customer behavior, claims experience, product outcomes, portfolio trends, operational effectiveness, and emerging risks
• Translate complex findings into recommendations and presentations for senior leadership
• Establish practices that support prioritization, execution, solution adoption, benefits realization, and continuous improvement
• Lead the evolution toward reliable, enterprise-scale analytical products
• Oversee the development of datasets, semantic models, certified metrics, dashboards, and reporting solutions
• Collaborate with data pipeline engineering, technology, governance, finance, and business leadership teams
• Expand self-service analytics capabilities and reduce manual effort, duplicated logic, and siloed solutions
• Identify and prioritize opportunities in advanced analytics, machine learning, predictive modeling, and artificial intelligence
• Establish governance, controls, quality standards, explainability, and responsible AI practices
• Lead, engage, coach, and develop a multidisciplinary team in analytics, business intelligence, reporting, and analytics engineering
• Foster a culture of analytical excellence, collaboration, accountability, and continuous learning
• Provide coaching in analytical problem-solving, data product design, data storytelling, and stakeholder management
• Act as a trusted advisor to leaders and promote a data-driven decision-making culture

Director – Analytics, Business Intelligence

• Define and execute an analytics and insights roadmap aligned with enterprise, market, customer, and partner priorities
• Transform strategic business questions into analytical opportunities, KPI frameworks, data requirements, and decision-support solutions
• Deliver insights into business performance, customer behaviour, claims experience, product results, portfolio trends, operational effectiveness, and emerging risks
• Translate complex findings into recommendations and executive-ready narratives
• Establish scalable practices that improve prioritization, delivery, adoption, value realization, and continuous improvement
• Lead the evolution from fragmented reporting toward trusted, enterprise-scale analytics products
• Oversee curated datasets, semantic models, certified metrics, dashboards, scorecards, and client-facing reporting solutions
• Partner with Data Pipeline Engineering, Technology, Governance, Finance, and business leaders
• Improve self-service analytics while reducing manual effort, duplicated logic, and disconnected solutions
• Identify opportunities for advanced analytics, machine learning, predictive modeling, and AI to create measurable business value
• Establish governance, controls, explainability, data quality standards, and operating requirements for responsible AI and advanced analytics
• Guide innovative solutions from ideation through implementation
• Lead, coach, and inspire multidisciplinary professionals across analytics, insights, business intelligence, reporting, and analytics engineering
• Foster analytical excellence, collaboration, accountability, continuous learning, and business partnership
• Serve as a trusted advisor to senior leaders and champion a data-informed culture across the organization
• Report to the AVP, Data Solutions

Analytics Engineer

• Develop and maintain curated analytical datasets, data marts, semantic models, and reusable data products
• Transform organizational data into reliable, scalable assets that are ready to support business needs
• Design analytical models that balance performance, usability, and sustainability
• Create reusable business logic and data transformations
• Develop semantic models, certified metrics, KPIs, and shared business logic
• Collaborate with business partners and analytics stakeholders to translate complex requirements into reliable technical solutions
• Support self-service analytics capabilities
• Ensure analytical assets are fully documented, traceable, and understandable
• Implement automated mechanisms for data testing, validation, reconciliation, and quality control
• Lead technical design reviews and contribute to analytics engineering best practices
• Apply version control, code review, deployment automation, and continuous improvement
• Collaborate with data governance teams on data ownership, traceability, controls, and lineage
• Develop analytical foundations that support advanced analytics, machine learning, and artificial intelligence
• Collaborate with data pipeline engineering, business intelligence, and analytics teams
• Modernize the organization’s analytics capabilities
• Serve as a trusted technical advisor
• Provide mentorship and guidance on analytical modeling, data transformations, and data products
• Build partnerships that foster collaboration, knowledge sharing, and innovation
• Demonstrate autonomy, accountability, and leadership in delivering high-quality solutions

Senior Analytics Engineer

• Build and maintain curated analytical datasets, data marts, semantic models, and reusable data products
• Transform enterprise data into trusted, scalable, business-ready assets
• Design analytical models balancing performance, usability, and scalability
• Create reusable business logic and data transformations
• Develop semantic models, certified metrics, KPIs, and shared business logic
• Translate complex business requirements into reliable technical solutions
• Support self-service analytics with intuitive and governed data products
• Document and maintain traceability of analytical assets
• Implement automated testing, validation, reconciliation, and data quality controls
• Lead technical design reviews and contribute to analytics engineering best practices
• Apply version control, code review, deployment automation, and continuous improvement
• Partner with Data Governance to embed ownership, lineage, controls, and traceability
• Develop analytical foundations for advanced analytics, machine learning, and AI
• Collaborate with Data Pipeline Engineering, BI, Analytics, and business teams
• Modernize enterprise analytics and move beyond one-off reporting solutions
• Serve as a trusted technical advisor and mentor colleagues
• Build partnerships that foster collaboration, knowledge-sharing, and innovation

• Build and maintain curated analytical datasets, data marts, semantic models, and reusable data products
• Transform enterprise data into trusted, scalable, business-ready assets
• Design analytical models balancing performance, usability, and scalability
• Create reusable business logic and data transformations
• Develop semantic models, certified metrics, KPIs, and shared business logic
• Translate complex business requirements into reliable technical solutions
• Support self-service analytics with intuitive and governed data products
• Document and ensure traceability of analytical assets
• Implement automated testing, validation, reconciliation, and data quality controls
• Lead technical design reviews and promote analytics engineering best practices
• Apply version control, code review, deployment automation, and continuous improvement
• Partner with Data Governance on ownership, lineage, controls, and traceability
• Develop foundations supporting advanced analytics, machine learning, and AI capabilities
• Collaborate with Data Pipeline Engineering, BI, Analytics, and business teams
• Modernize enterprise analytics and replace one-off reporting with reusable products
• Serve as a technical advisor and mentor teams on analytical modeling and data product development

Analyst

• Assess credit insurance and Credit Card Payment Protection claims, including life, disability, critical illness, and job loss insurance
• Evaluate contractual, medical, functional, and occupational information to determine benefit eligibility
• Make timely and accurate claim decisions while providing exceptional service to insured clients and stakeholders
• Manage an active caseload in accordance with service standards, best practices, KPIs, and turnaround times
• Document claim analysis and maintain accurate records
• Communicate professionally and empathetically with stakeholders regarding claim updates, status, and decisions
• Conduct detailed phone interviews to gather information and discuss claim outcomes
• Identify and obtain supporting documents for current and future benefit payments
• Collaborate with team members, plan sponsors, and other stakeholders
• Participate in departmental projects and continuous improvement initiatives
• Identify process optimization opportunities and adapt to changes
• Perform other related duties as assigned

Bilingual Claims Care Analyst

• Assess credit insurance and Credit Card Payment Protection claims, including life, disability, critical illness, and job loss insurance
• Evaluate contractual, medical, functional, and occupational information to determine benefit eligibility
• Make timely and accurate claim decisions in accordance with certificate provisions, established processes, and internal and external policies
• Manage an active caseload in compliance with service standards, KPIs, best-practice guidelines, and turnaround times
• Document claim analyses and maintain accurate records
• Communicate professionally and empathetically with stakeholders regarding claim updates, statuses, and decisions
• Conduct detailed phone interviews with clients or involved parties
• Identify and obtain supporting documentation for current and future benefit payments
• Collaborate with team members, plan sponsors, and other stakeholders
• Participate in departmental projects and continuous improvement initiatives
• Identify process optimization opportunities and perform other related duties as assigned

Executive Assistant

• Provide dedicated executive support to the CEO and CFO
• Triage and prioritize executive inboxes and calls
• Draft correspondence and flag time-sensitive matters from the Board, regulators, and key partners
• Manage complex calendars, multi-party and cross-time-zone scheduling, daily itineraries, and priority protection
• Anticipate executive needs, conflicts, preparation gaps, and priorities
• Liaise between executives, internal teams, senior leadership, Board members, and external stakeholders
• Prepare briefing materials, summaries, agendas, and presentations
• Track action items and follow-ups to completion and provide status updates
• Handle sensitive financial, legal, and personal matters with discretion
• Coordinate Board and committee support, including board packs, secure distribution, minutes, and follow-up communications
• Coordinate Executive Leadership Team meetings, agendas, logistics, outcomes, decisions, and follow-up actions
• Support coordination of regulatory and compliance dates
• Coordinate travel arrangements, itineraries, accompanying materials, and contingency planning
• Use Microsoft 365 Copilot, Enterprise ChatGPT, collaboration, and workflow platforms to streamline scheduling, reporting, and communications

Senior Executive Assistant to the CEO, CFO

Actuary

• Lead the production of experience studies with a high level of technical expertise and generate value-added recommendations
• Lead projects aimed at improving the efficiency, accuracy, and overall performance of the actuarial function, from problem identification through solution implementation
• Present findings and recommendations to the Appointed Actuary and the Head of Actuarial
• Research innovative solutions to improve operational efficiency, analytical accuracy, and understanding of business performance
• Manage follow-ups related to modeling issues, approximations, and their resolution
• Collaborate with analysts and the Director of Actuarial Valuation to ensure deliverables are completed according to established timelines
• Analyze historical experience, market trends, and financial results to develop assumptions for actuarial valuation, capital management, and financial reporting
• Lead strategic projects related to model accuracy, operational efficiency, and business analysis

Actuary, Experience Studies and Special Projects

• Serve as the first point of contact for the CEO and CFO by triaging inboxes and calls, drafting correspondence, and flagging time-sensitive matters
• Manage complex, multi-party, and cross-time-zone calendars for the CEO and CFO
• Protect executive time, anticipate priorities, and organize daily itineraries
• Act as liaison between executives, internal teams, the Senior Leadership Team, and external stakeholders
• Prepare briefing materials, summaries, agendas, and presentations for key meetings
• Track action items and follow-ups through completion, provide status updates, and flag issues early
• Handle sensitive financial, legal, and personal matters with discretion and judgment
• Coordinate Board and committee support, including board-pack collation, secure distribution, minute-taking, and follow-up communications
• Coordinate Executive Leadership Team meetings, agendas, logistics, outcomes, decisions, and follow-up actions
• Support coordination of key regulatory and compliance dates
• Coordinate travel arrangements, itineraries, accompanying materials, and contingency planning
• Use Microsoft 365 Copilot, Enterprise ChatGPT, collaboration platforms, and workflow tools to streamline scheduling, reporting, and communications
• Provide dedicated executive support to the CEO and CFO as a trusted senior partner

Director, Analytics & Insights

Director – Analytics, Business Intelligence

Director, Analytics & Insights

Senior Analytics Engineer

Senior Analytics Engineer

Senior Analytics Engineer

Bilingual Claims Care Analyst

Bilingual Claims Care Analyst

Senior Executive Assistant to the CEO, CFO

Actuary, Experience Studies and Special Projects

Senior Executive Assistant – CEO, CFO