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Securian Canada

Director – Analytics, Business Intelligence

Securian Canada

. Define and implement an analytics and business intelligence roadmap aligned with the company’s priorities .

Posted 9/25/2026full-timeMontreal • CanadaLead💰 CA$130,000 - CA$170,000 per yearWebsite

Tech Stack

Tools & technologies
PythonSQLTypeScript

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • University degree in analytics, data science, statistics, mathematics, computer science, engineering, economics, business administration, or a related quantitative discipline
  • More than 10 years of progressive experience in analytics, business intelligence, analytics engineering, data science, decision support, or a related field, including management responsibilities
  • Demonstrated experience building, transforming, or significantly advancing analytics capabilities across a complex organization
  • Strong experience translating ambiguous business issues into practical analytical solutions, actionable recommendations, and measurable outcomes
  • Deep expertise in SQL, Python, analytical data modeling, business intelligence platforms, and modern cloud data environments
  • Experience developing scalable datasets, structured data products, key performance indicator (KPI) frameworks, semantic models, and enterprise-scale reporting solutions
  • Excellent understanding of modern data ecosystems, from source systems and data engineering through to analytics delivery and business adoption
  • Experience applying advanced analytics, machine learning, predictive modeling, or AI-enabled solutions to business challenges
  • Demonstrated ability to influence executive-level stakeholders while effectively leading highly technical, specialized teams
  • Excellent leadership skills and experience building, mentoring, and developing high-performing teams
  • Experience with cloud data warehouses, lakehouse architectures, and modern self-service business intelligence platforms
  • Knowledge of responsible AI practices, model governance, data quality, data lineage, explainability, and operational controls
  • Excellent communication and data storytelling skills
  • Strategic, product-oriented mindset focused on delivering sustainable and scalable solutions
  • Experience in insurance, financial services, or another regulated industry is an asset

Benefits

Comp & perks
  • Flexible work arrangements with monthly financial allowances to support your work-life balance
  • A generous starting allotment of paid time off, plus additional days off for each year of service
  • One paid volunteer day
  • Paid personal and personal wellness days
  • Education assistance of up to $3,500 per year
  • Flexible Health and Wellness Spending Account
  • Comprehensive prescription drug and dental coverage
  • Up to 14% in combined matching contributions to the RRSP plan
  • Maternity/parental leave
  • Many additional benefits and programs
  • An agile, innovative, diverse, and inclusive culture