Information Technology - Senior Manager/Manager, Analytics & AI, Finance, Legal, Risk Technology at Aritzia in Vancouver, BC

  • Company: Aritzia
  • Location: Vancouver, BC, Canada (SO - Vancouver)
  • Salary: $100K – $300K
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-09-14

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Job description

THE BUSINESS We are Everyday Luxury™. It's what we do and how we do it — together. It's working alongside world-class talent in pursuit of world-class results. It's maximizing your potential in a high-performance culture. It's knowing that wherever you are, you belong. It's elevating your world — and the world of those who love and will love Aritzia. It's You. And an endless runway of opportunity. With a Global Support Campus in Vancouver and additional Support Office hubs in major cities across North America — including Toronto, New York, Los Angeles and Seattle — our workplace network is strategically designed to support our People and serve our Clients a frictionless experience. So, you can do what you do best — with us. THE TEAM The mission of the Finance, Legal, Risk Technology team is to design, build, deliver and operate robust, efficient, and scalable technology, data, analytics, and AI solutions that align with the strategic priorities of Aritzia’s Finance, Legal, and Enterprise Risk Management functions. THE OPPORTUNITY Aritzia is growing and our Finance, Legal and Risk Technology team is growing with it. This is a unique opportunity to lead analytics and AI capabilities supporting Aritzia’s Finance, Legal, and Enterprise Risk Management functions to enable faster, better-informed decisions. As the Senior Manager / Manager, Analytics & AI, Finance, Legal, Risk Technology, you will set the strategy and roadmap for data products, reporting, advanced analytics, and AI; translate functional priorities into scalable solutions; and lead a high-performing team that delivers trusted insights and measurable business value. You will partner with leaders and process owners across Finance, Legal, and Enterprise Risk Management, as well as Enterprise Data & Analytics and other Technology teams, to modernize how these functions use data and AI while maintaining strong governance, controls, security, privacy, and responsible-use standards. With the skills you gain in this role, the opportunities are endless — from a rewarding career in Technology to continued growth and development with Aritzia. THE ROLE As the Senior Manager / Manager, Analytics & AI, Finance, Legal, Risk Technology, you will: Own the analytics and AI strategy, operating model, and multi-year roadmap for Aritzia’s Finance, Legal, and Enterprise Risk Management departments, aligning with functional priorities, enterprise data, and technology standards. Partner with Finance, Legal, and Enterprise Risk Management leaders to define decision needs, key performance indicators (KPIs), and a prioritized portfolio of data and AI products that address each function’s most important opportunities. Lead the design and delivery of governed semantic models, dashboards, self-service reporting, predictive analytics, scenario models, and exception-based insights that establish trusted sources of information. Identify, evaluate, and scale high-value AI use cases across Finance, Legal, and Enterprise Risk Management, including forecasting, variance analysis, anomaly detection, document intelligence, risk sensing, compliance monitoring, narrative generation, workflow automation, and decision support. Partner with the Enterprise AI team to apply enterprise standards, governance, value and return-on-investment frameworks, and responsible AI requirements across Finance, Legal, and Enterprise Risk Management use cases, including intake, risk assessment, human oversight, model monitoring, data lineage, access controls, documentation, privacy, security, regulatory compliance, financial controls, and records management. Define functional outcomes and adoption plans for analytics and AI products, measure value realization using Enterprise AI frameworks, and improve or retire solutions that do not meet business, control, risk, or user needs. Communicate complex analytical findings, model limitations, controls, risks, and recommendations to senior leaders in clear, decision-ready language. Lea

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