Manager, Finance Data and AI

Your Opportunity at ARC’TERYX

Arc’teryx is seeking a Manager, Finance Data and AI to join the Finance Transformation, Risk & Controls team. This role is responsible for advancing the use of artificial intelligence and modern data capabilities across the Finance organization.

The successful candidate will be involved in designing, building, and deploying AI-enabled workflows that improve efficiency and decision‑making within Finance, while also serving as the primary intake point for data and reporting requests originating from Finance teams. The role partners closely with the Data and Analytics (IT) team to scope, prioritize, and deliver data solutions.

This is a high‑autonomy role suited to a self‑directed professional who combines technical proficiency with strong program execution and stakeholder management. The successful candidate will lead through technical credibility, sound judgment, and the ability to influence cross‑functional partners.

This role is based out of our North Vancouver office and is open to hybrid remote work. Candidates must be eligible to work in Canada.

The Finance Transformation, Risk & Controls team leads the modernization of Finance at Arc’teryx - driving improvements across Finance business processes, systems, AI, governance, and risk management. The team partners across Finance and the broader business to ensure that how we operate, what we deliver, and how we manage risk continues to evolve as the company grows.

• Identifying, scoping, and prioritizing opportunities to apply artificial intelligence and automation across Finance processes and workflows.
• Designing and building self‑serve AI‑enabled workflows using tools such as Microsoft Copilot Studio, Microsoft 365 Copilot, Power Automate, Claude, and related technologies.
• Leading end‑to‑end delivery of AI workflows, including requirements gathering, prototyping, user acceptance testing, deployment, and transition to business owners.
• Developing and maintaining reusable assets, including a finance‑specific prompt library and pattern library, to accelerate future delivery.
• Establishing and upholding appropriate governance, risk assessment, and compliance practices for all AI solutions.
• Standing up and leading a small, cross‑functional core delivery team that designs, builds, and ships AI solutions in close partnership with the business.
• Establishing and curating a peer network of AI advocates embedded across Finance teams — individuals who pilot new solutions, share what they learn, and bring forward ideas from their teams.
• Launching and sustaining a broader community of practice across the Finance organization that supports shared learning, knowledge exchange, prompt sharing, and ongoing engagement with the program.
• Defining the purpose, cadence, and operating rhythm of each group, recruiting and onboarding members, and keeping participation engaged and productive over time.
• Acting as the principal leader and driver of these groups, ensuring they continue to deliver value and adapt as the program matures.
• Serving as the front door for data and reporting requests originating from Finance.
• Triaging, scoping, and prioritizing incoming requests in collaboration with the Information Technology Data and Analytics team, and maintaining a transparent backlog so requesters have clear visibility into status and timelines.
• Translating business problems into clear, well‑structured requirements for the Information Technology Data and Analytics team and managing stakeholder communication through delivery to ensure successful adoption.
• Establishing and publishing a clear scope rubric to help requesters and stakeholders engage the process effectively.
• Promoting a self‑serve culture by enabling business users to confidently use approved tools, reducing reliance on one‑off requests over time.
• Applying data classification and sensitivity labeling standards to ensure that AI tools and solutions respect access controls by default.
• Partnering with Information Technology and Data Engineering on the assessment of finance data readiness across key data domains.
• Developing and delivering training, documentation, office…