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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.
Meet Your Future Team
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.
If you were in the Manager, Finance Data and AI role now, here are some of the core activities you would be doing:
Designing and Delivering Self-Serve AI Workflows
- 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.
Building and Leading the AI Community Within Finance
- 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.
Coordinating Data and Reporting Demand
- 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 that the Information Technology Data and Analytics team can act upon, and managing stakeholder communication through delivery to ensure successful adoption.
- Establishing and publishing a clear scope rubric - what is in scope for self-serve AI workflows, what is in scope for IT Data and Analytics build, and what is out of scope - 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.
Driving Adoption, Enablement, and Change
- 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 hours, and other enablement materials to build AI fluency across the Finance organization.
- Supporting change management activities related to the rollout and adoption of new AI capabilities.
- Establishing baselines and capturing relevant performance metrics for solutions before and after deployment, and providing regular updates to leadership on portfolio status, key risks, and outcomes.
Are you our next Manager, Finance Data and AI?
- You have a bachelor’s degree in Finance, Accounting, Information Systems, Computer Science, Data Analytics, or a related discipline.
- You have 5+ years of experience in Finance, Operations, Analytics, or Technology, including delivery of automation, AI, business intelligence, or data solutions in a production environment.
- You have hands-on experience with the Microsoft Power Platform, including Power Automate, Power Apps, AI Builder, and Copilot Studio or similar conversational AI platforms.
- You have strong Power BI and Data & Analytics experience, including reporting requirements, dashboard design, technical requirements, semantic models, and cross-functional partnership with enterprise data teams.
- You have familiarity with Microsoft 365 Copilot, Claude, prompt engineering, and modern AI and data platform capabilities.
- You have experience supporting Finance environments, including exposure to financial reporting, controls, or audit processes.
- You are highly organized and self-directed, with the ability to manage competing priorities, lead concurrent workstreams, and deliver results independently in ambiguous environments.
- You have experience contributing to cross-functional teams, working groups, or communities of practice, with the ability to build alignment and sustain engagement across stakeholders.
- You are an effective communicator who can translate technical concepts for non-technical audiences and influence across functions and levels.
- You demonstrate sound judgment, intellectual curiosity, and a practical, builder-oriented approach to continuous improvement and change adoption.
- Formal training or certification in change management methodologies is considered an asset.…
