Securian Financial Group

Mutual holding company delivering insurance, investments

Director, Analytics & Insights

Data & AnalyticsUpdated on Nov 13

Full-timeCA$130k - CA$170k /yr

About the Job

Requirements

A university degree in Analytics, Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Business, or a related quantitative discipline is required.
At least 10 years of progressive experience in analytics, business intelligence, analytics engineering, data science, decision support, or related fields, including leadership responsibilities is required.
Demonstrated success building, transforming, or significantly advancing enterprise analytics capabilities within a complex organization is required.
Experience translating ambiguous business challenges into actionable analytical solutions, meaningful insights, and measurable outcomes is required.
Deep expertise in SQL, Python, analytical data modeling, business intelligence platforms, and modern cloud data environments is required.
Experience developing scalable analytical datasets, curated data products, KPI frameworks, semantic models, and enterprise reporting solutions is required.
Strong understanding of modern data ecosystems, from source systems and data engineering through analytics delivery and business consumption is required.
Experience applying advanced analytics, machine learning, predictive modeling, or AI-enabled solutions to business challenges is required.
Proven ability to influence executive stakeholders while effectively leading highly technical teams is required.
Strong leadership capabilities, including experience building, mentoring, and developing high-performing teams, are required.
Exceptional communication and storytelling skills, with the ability to simplify complexity and inspire action through data, are required.
A strategic and product-oriented mindset focused on delivering sustainable, scalable solutions that create long-term business value is required.

Responsibilities

Define and execute an analytics and insights roadmap aligned with enterprise, market, customer, and partner priorities.
Transform strategic business questions into actionable 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 clear recommendations and executive-ready narratives that support informed decision-making.
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 development of curated datasets, semantic models, certified metrics, dashboards, scorecards, and client-facing reporting solutions.
Partner with Data Pipeline Engineering, Technology, Governance, Finance, and business leaders to strengthen analytics foundations and support critical business priorities.
Improve self-service analytics capabilities while reducing manual effort, duplicated logic, and disconnected solutions.
Ensure analytics products are scalable, reliable, understandable, and centered on real business decisions.
Identify practical opportunities where advanced analytics, machine learning, predictive modeling, and AI can create measurable business value.
Prioritize initiatives based on business impact, data readiness, adoption potential, and long-term sustainability.
Establish governance, controls, explainability, data quality standards, and operating requirements for responsible AI and advanced analytics.
Guide innovative solutions from ideation through implementation, ensuring clear ownership, measurable outcomes, and long-term success.
Lead, coach, and inspire a team across analytics, insights, business intelligence, reporting, and analytics engineering.
Foster a culture focused on analytical excellence, collaboration, accountability, continuous learning, and business partnership.
Provide guidance on analytical problem solving, data-product design, storytelling, and stakeholder engagement.
Help team members develop skills in problem framing, root-cause analysis, insight generation, and strategic recommendations.
Create an environment where innovation, curiosity, and measurable business outcomes are valued.
Serve as a trusted advisor to senior leaders, connecting business priorities to data-driven solutions.
Build relationships across Data Solutions, Technology, Finance, Operations, and business teams.
Influence decision-making by bringing clarity, insight, and strategic perspective to complex challenges.
Champion a data-informed culture that increases confidence, consistency, and trust in organizational decision-making.

Desired Qualifications

Experience within insurance, financial services, or another regulated industry is considered an asset.
Experience with cloud data warehouses, lakehouse architectures, and modern self-service business intelligence platforms.
Knowledge of responsible AI practices, model governance, data quality, lineage, explainability, and operational controls.

What we do every day to be our very best

Every day at Securian Canada means a day spent helping Canadians and their families build secure tomorrows. We’re agile and innovative, and we aren't afraid to challenge and create, or bring diverse perspectives to our work.

Who we need

As our Director, Analytics & Insights, you'll help shape how data drives decisions across Securian Canada.

We're looking for a leader who sees beyond dashboards and reports. Someone who is energized by complex business challenges, naturally curious about what drives performance, and passionate about transforming data into meaningful business outcomes. You'll play a pivotal role in building and evolving an enterprise analytics capability that empowers leaders with trusted insights, scalable analytics products, modern business intelligence, and practical AI-enabled solutions.

Reporting to the AVP, Data Solutions, you'll lead a multidisciplinary team responsible for Analytics & Insights, Business Intelligence, and Analytics Engineering. Working across business and technology teams, you'll help create a shared understanding of customers, products, markets, financial performance, and organizational priorities, enabling smarter decisions at every level of the organization.

This opportunity is ideal for someone who enjoys balancing strategic thinking with hands-on leadership. You'll influence enterprise priorities, guide complex analytical initiatives, challenge assumptions, and help leaders translate insights into action.

The leader we're looking for combines strong business judgment with technical depth. You start with the decision that needs to be made, not the tool that will be used. You understand that data and analytics are strategic business assets and know how to balance immediate business needs with scalable enterprise solutions. You're pragmatic, collaborative, governance-minded, and skilled at translating complex analytical concepts into compelling business narratives that drive action.

Most importantly, you're passionate about building high-performing teams, developing talent, fostering collaboration, and creating an environment where people can do their best work while making a meaningful impact.

At Securian Canada, analytics is about more than understanding what happened. It's about helping people make better decisions that support our mission of helping Canadians and their families build secure tomorrows. You'll join a team of talented professionals who are committed to innovation, continuous improvement, and creating solutions that make a real difference across our business.

The base salary range for this position is between $130,000 to $170,000 depending on experience. Details of our additional benefits are outlined below. This job posting is for an existing vacancy. Only one position is available. However, it may be based in multiple locations: Toronto (ON), or Waterloo (ON), or Montreal (QC).

Lead Enterprise Analytics Strategy & Decision Support

Define and execute an analytics and insights roadmap aligned with enterprise, market, customer, and partner priorities.
Transform strategic business questions into actionable analytical opportunities, KPI frameworks, data requirements, and decision-support solutions.
Deliver meaningful insights into business performance, customer behaviour, claims experience, product results, portfolio trends, operational effectiveness, and emerging risks.
Translate complex findings into clear recommendations and executive-ready narratives that drive informed decision-making.
Establish scalable practices that improve prioritization, delivery, adoption, value realization, and continuous improvement.

Build Modern Analytics Products & Business Intelligence Capabilities

Lead the evolution from fragmented reporting toward trusted, enterprise-scale analytics products.
Oversee the development of curated datasets, semantic models, certified metrics, dashboards, scorecards, and client-facing reporting solutions.
Partner with Data Pipeline Engineering, Technology, Governance, Finance, and business leaders to strengthen analytics foundations and support critical business priorities.
Improve self-service analytics capabilities while reducing manual effort, duplicated logic, and disconnected solutions.
Ensure analytics products are scalable, reliable, understandable, and centered around real business decisions.

Advance AI, Machine Learning & Analytical Innovation

Identify practical opportunities where advanced analytics, machine learning, predictive modeling, and AI can create measurable business value.
Prioritize initiatives based on business impact, data readiness, adoption potential, and long-term sustainability.
Establish governance, controls, explainability, data quality standards, and operating requirements needed to support responsible AI and advanced analytics.
Guide innovative solutions from ideation through implementation, ensuring clear ownership, measurable outcomes, and long-term success.

Develop High-Performing Teams & Analytics Capabilities

Lead, coach, and inspire a team of professionals across analytics, insights, business intelligence, reporting, and analytics engineering.
Foster a culture focused on analytical excellence, collaboration, accountability, continuous learning, and business partnership.
Provide guidance on analytical problem solving, data-product design, storytelling, and stakeholder engagement.
Help team members grow beyond traditional reporting by strengthening skills in problem framing, root-cause analysis, insight generation, and strategic recommendations.
Create an environment where innovation, curiosity, and measurable business outcomes are valued and celebrated.

Build Strong Partnerships Across the Organization

Serve as a trusted advisor to senior leaders, helping connect business priorities to data-driven solutions.
Build strong relationships across Data Solutions, Technology, Finance, Operations, and business teams.
Influence decision-making by bringing clarity, insight, and strategic perspective to complex challenges.
Champion a data-informed culture that increases confidence, consistency, and trust in organizational decision-making.

University degree in Analytics, Data Science, Statistics, Mathematics, Computer Science, Engineering, Economics, Business, or a related quantitative discipline.
10+ years of progressive experience in analytics, business intelligence, analytics engineering, data science, decision support, or related fields, including leadership responsibilities.
Demonstrated success building, transforming, or significantly advancing enterprise analytics capabilities within a complex organization.
Strong experience translating ambiguous business challenges into actionable analytical solutions, meaningful insights, and measurable outcomes.
Deep expertise in SQL, Python, analytical data modeling, business intelligence platforms, and modern cloud data environments.
Experience developing scalable analytical datasets, curated data products, KPI frameworks, semantic models, and enterprise reporting solutions.
Strong understanding of modern data ecosystems, from source systems and data engineering through analytics delivery and business consumption.
Experience applying advanced analytics, machine learning, predictive modeling, or AI-enabled solutions to business challenges.
Proven ability to influence executive stakeholders while effectively leading highly technical teams.
Strong leadership capabilities with experience building, mentoring, and developing high-performing teams.
Experience within insurance, financial services, or another regulated industry is considered an asset.
Experience with cloud data warehouses, lakehouse architectures, and modern self-service BI platforms.
Knowledge of responsible AI practices, model governance, data quality, lineage, explainability, and operational controls.
Exceptional communication and storytelling skills, with the ability to simplify complexity and inspire action through data.
A strategic and product-oriented mindset focused on delivering sustainable, scalable solutions that create long-term business value.

About the Company

Securian Financial Group

Mutual holding company delivering insurance, investments

Securian Financial Group is a mutual holding company that offers a range of financial protection and planning products. It sells individual and group insurance (term life, illness, and accident) as well as credit life and disability products, and it provides investment and retirement solutions. Its products provide financial protection or income support, such as life benefits, medical cost coverage, loan payoff on death, and income replacement during disability, along with saving for retirement. It differentiates itself by being owned by policyholders rather than public shareholders and by operating through multiple subsidiaries to serve a broad U.S. market, with the goal of helping people manage financial risk and plan for retirement.

Company size: Not listed
Company stage: Not listed
Total funding: $138.8M
Headquarters: St Paul, MN
Founded: 1880

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