If you were the Director, People Analytics and Automation now, here are some of the core activities you would be doing:
- People Analytics Strategy & Roadmap
- Co‑developing and executing a multi‑year People Analytics strategy, balancing foundational infrastructure with advanced predictive capabilities and clear business impact.
- Defining requirements and partnering with technology on the design and delivery of scalable, secure data infrastructure (e.g., People Data Lake) that enables high‑quality access to people data.
- Embedding analytics into core P&C processes to improve visibility and elevate decision‑making across the organization.
- Working proactively with cross‑functional leaders to align priorities, understand business needs, and ensure analytics solutions address the right problems.
- Automation & Innovation
- Partnering with P&C and cross‑functional leaders to identify and automate high‑value processes (e.g., compensation workflows, talent processes, reporting) to drive scalability, quality, and efficiency.
- Leading the adoption of predictive and prescriptive analytics while staying ahead of emerging trends in HR AI, automation, and data technologies.
- Strengthening data literacy across the organization to increase adoption and maximize the return on our people data.
- Data Governance & Security
- Establishing and evolving data governance frameworks in partnership with Technology to ensure data accuracy, privacy, compliance, and the responsible use of people data.
- Guiding data quality standards, analytics best practices, and stewardship processes so that insights are trusted, reliable, and actionable.
- Providing thought partnership on data architecture and data models to ensure people data flows reliably between systems and supports high‑quality analytics outputs.
- Team Leadership & Partnership
- Mentoring a team of Data Analysts, developing their skills in analytics, data science, and automation.
- Building strong relationships across Arc’teryx and Amer Sports to ensure alignment with enterprise architecture and shared data strategies.
- Proactively engaging stakeholders to understand evolving priorities, inform planning, and shape analytics and automation roadmaps.
Here are some of the things you could be working on in the future:
- Developing and socializing a comprehensive three‑year global analytics and automation strategy that aligns with P&C and enterprise priorities.
- Partnering with executives and senior leaders to fully implement and operationalize the People Data Lake, ensuring strong adoption and business value.
- Supporting data migration, reporting transformation, and analytics integration for a major HCM reimplementation.
- Driving measurable improvements in efficiency, data quality, and decision‑making that enable the P&C function to scale globally without linear headcount growth.
- Identifying strategic opportunities to expand advanced analytics, AI, and automation capabilities that improve workforce insights and enhance P&C processes.
Are you our next Director, People Analytics and Automation?
- Leadership & Strategic Impact
- You have 10+ years of experience in data, analytics, or automation, with at least 5 years in a senior leadership capacity.
- You are skilled at building strong relationships and acting as a strategic advisor who can influence senior leaders and cross‑functional partners.
- You have a proven track record of building an analytics function from the ground up, including infrastructure, governance, and team capability development.
- You are a strong storyteller who can translate complex data into clear, compelling narratives that influence business strategy and drive action.
- You have HR domain expertise (e.g., Compensation, Talent Management, Workforce Planning) to ensure analytics and automation solutions align with people‑centric needs.
- You are comfortable operating autonomously, navigating ambiguity, and leading through change in a global, high‑growth environment.
- You have a proactive approach to identifying opportunities, anticipating business needs, and prioritizing high‑value analytics and automation work.
- Technical & Analytical Expertise
- You have a degree, or equivalent experience, in Data Science, Statistics, Computer Science, Business, or a related field (Master’s preferred).
- You have hands‑on experience with SQL, Python/R, and data visualization tools such as Power BI.
- You have experience with cloud‑based data architecture (e.g., Azure, Databricks) and work effectively with Technology teams to ensure scalable, high‑quality analytics.
- You have experience applying advanced analytics and automation tools (e.g., forecasting, predictive modeling, Power Automate, RPA) to solve people‑related problems and scale solutions responsibly.
- You understand data privacy requirements and responsible AI considerations relevant to people data.
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What We Do
Arc’teryx is a global design company based in North Vancouver, B.C. that specializes in technical high-performance outerwear and equipment. We design and manufacture a wide range of mountain sports outdoor apparel and equipment for all conditions and experiences, including mountaineering, ice and rock climbing, skiing, snowboarding, and trail running. Our company is built on a passionate and relentless commitment to design, craftsmanship and performance. We have a unique construction process that enables us to create technical products that can be trusted to perform at the point of extreme need. We are uniquely positioned in our industry as we have our own factory located in New Westminster, BC, which enables us to build products with a meticulous focus on detail and performance. We leverage this manufacturing knowledge and share it with our global partner factories. In the Coast Mountain Range behind our headquarters and design centre in North Vancouver, we field test our products in real world conditions allowing us to create the best-fitting, longest-lasting, highest-performing technical products available. We distribute our outerwear and equipment through more than 3,000 retail locations worldwide, in over 40 countries globally, including 38 branded and outlet stores in Europe, North America and Asia. The company started with six employees in 1989 and now has more than 1000 employees in Canada.







