Data Scientist Senior - Remote (Vancouver)

Data Scientist Senior - Remote (Vancouver)

03 Oct
|
Workday
|
Vancouver

03 Oct

Workday

Vancouver

We're obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we're shaping the future of work so teams can reach their potential and focus on what matters most. We're in this together, tackling big challenges with bold ideas and genuine care.

Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you'll do meaningful work with Workmates who've got your back. In return, we'll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you've found a match in Workday, and we hope to be a match for you too.

Workday stands at a pivotal point in its evolution and growth. As we accelerate our Enterprise AI Transformation we must focus with equal intensity on scaling our execution to enable a rapid speed of continuous innovation for our customers. The Product & Technology (P&T;) Operations Analytics & Tools Team develops decision-ready internal products that turn complex organizational data into targeted leadership action.

Power the strategic intelligence that scales how P&T; operates with alignment and speed. We're looking for a business, product, and customer-oriented Senior Product Data Scientist to be the analytics partner for the Workday Data Cloud business. This role requires focused passion and excitement unlocking data insights that directly tie to strategic execution.

This role sits at the intersection of Workday's Data Cloud business, partnering directly with the Workday Data Cloud organization (SVP/GM, Product Management, Engineering, and GTM teams) to bring analytical rigor and powerful business insights to a fast-growing, consumption-based product line. You will dive into the raw business data, find the root cause, and deliver an opinionated, decision-ready conclusion, not just more data.



You will need to become a genuine subject-matter expert in Workday Data Cloud's business data landscape, working closely with the Workday Data Cloud GM and Product Management team.

Your findings, and the curated data and documentation you produce along the way, should compound: feeding a shared knowledge base that makes the next question easier to answer, for you and for AI-assisted tooling built on top of the same body of work. Serve as the business analytics domain expert for Workday Data Cloud, providing technical and strategic thought leadership. Partner cross-functionally across Go-To-Market (GTM) and Product teams to develop end-to-end views of the business, connecting the dots between top-of-funnel demand growth, sales pipeline, and downstream product usage.

Translate complex data models into compelling narratives and stories (including interactive visualizations and executive presentations) that drive organizational clarity. Operate directly with SVP/GM-level stakeholders, translating a stream of layered, high-velocity questions into structured analysis without needing fully scoped requirements up front. Translate ambiguous business, data, and platform questions into simple and focused conclusions, independently and with strategic judgment Support consumption-based pricing and impact analysis for Workday Data Cloud, including sensitivity analysis, exploring recent business models and driving business growth Navigate real data-maturity and instrumentation gaps with autonomy: identifying what already exists, what must be built, and when to elevate.

Contribute well-documented, curated data assets and context back into the shared knowledge base so that analysis compounds over time and can eventually be self-served. Design and influence Workday Data Cloud internal business data connections, collaborating with Product Management and engineering teams on the design, scalability, and sustainability of associated pipelines. Leverage strong data ETL and data processing expertise to manage multi-step flows across product telemetry and observability systems

📌 Data Scientist Senior - Remote (Vancouver)
🏢 Workday
📍 Vancouver

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