Director, Analytics & Insights

Key Responsibilities

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.

Skills, Knowledge & Expertise

• 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.

Benefits

• Flexible work arrangements with monthly financial allocations to support your work-life balance;
• Generous starting paid vacation time, plus additional vacation days for every year of service;
• Paid volunteer day so you can dedicate time to a cause you are passionate about;
• Paid personal and wellness days to support your total wellbeing;
• Educational assistance of up to $3,500 a year (with approval from your manager);
• Flexible health and wellness account (in addition to comprehensive drug and dental coverage) to help pay for a wide range of wellbeing services that are meaningful to you;
• Up to 14% of combined contributions to the RRSP matching program;
• Family-friendly maternity/parental leave and,
• Many more benefits, perks and programs.