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 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’ll 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 new 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 escalated. 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. You embody the qualities of an insightful, thoughtful, and reliable teammate - and you expect the same of your teammates.

You’re energized, not intimidated, by building trust, process, and domain expertise in a new, growing business space. You default to curating and documenting what you learn, because you know the same data landscape will get harder questions tomorrow. You’re comfortable moving between hands‑on data work and strategic, executive‑level framing. 8+ years of experience with advanced analytics, statistical modeling, and/or data science. ~8+ years experience simplifying complex technical concepts for diverse stakeholders. ~6‑8 years experience working autonomously in a highly matrixed, collaborative corporate environment. ~5+ years experience in business/product analytics, applied data science, or a related quantitative role, ideally supporting a product or platform organization. ~5+ years experience in enterprise BI platforms (e.g.,Tableau, Sigma).

Strong SQL and data‑modeling skills; Familiarity with front‑end components or frameworks (e.g., React, Node.js, JavaScript) to help collaborate with engineering peers. Working familiarity with cloud data pipelines/ETL concepts (e.g., Airflow) sufficient to partner effectively with data engineering and platform product management teams. Strong project management skills.

Experience working within an Agile/Scrum framework. Strong communication and data storytelling skills. Demonstrated experience designing, developing, and maintaining enterprise production‑level data science‑based products for business decision‑making.

Experience on AWS stack (Redshift, Sagemaker), scripting languages (Python and R). Degree in a quantitative field (Computer Science, Engineering, Statistics, Operations Research, Economics, or a related field) or equivalent practical experience.

Workday Pay Transparency Statement

Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role‑specific commission/bonus, as well as annual refresh stock grants.

Primary CAN Base Pay Range: $124,400 - $186,600 CAD Our Approach to Flexible Work With Flex Work, we’re combining the best of both worlds: in‑person time and remote.



Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in‑office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role).

This means you’ll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote “home office” roles also have the opportunity to come together in our offices for important moments that matter. Legal and Equality Statements Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Chance Employer including individuals with disabilities and protected veterans. Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision‑making to any degree. Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law.

Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. If you require a reasonable accommodation, you may email [email protected] is proud to be an equal opportunity workplace. Individuals seeking employment at Workday are considered without regards to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws.

Further, pursuant to applicable local ordinances, Workday will consider for employment qualified applicants with arrest and conviction records. You may view the Workday’s Pay Transparency Policy, and Know Your Rights Notice, by clicking on their corresponding links. Workday is committed to providing reasonable accommodations for qualified individuals during our application process, in order to perform one or more essential functions of their job, as well as regarding the use of AI tools for employment decision‑making to any degree.

Please see below for more details including how to request an accommodation as a qualified veteran, due to a disability or for religious reasons, or as otherwise provided under applicable law. Workday prohibits taking adverse action against any candidate or employee for reporting a possible violation of this policy, requesting one or more work accommodations, exercising a privacy right, or cooperating in an investigation in accordance with applicable law. If you require a reasonable accommodation, you may email accommodations@workday.

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