Sr Product Data Scientist

Your work days are brighter here.

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. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. 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.

About the Team

About the Role

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 be the investigatory lead on a number of broad business questions. 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.

Key Responsibilities

• 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 escalate.
• 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
• Demonstrate urgency and autonomy in problem-solving, proactively navigating cross-functional teams to identify and implement solutions for both known and emerging business challenges.

About You

You possess a deep interest in grasping the complex challenges that businesses face, and you are excited by solving problems. You have strong business acumen and are outcomes focused. Learning new tools and technologies motivates you. You embody the qualities of an insightful, thoughtful, and reliable teammate - and you expect the same of your teammates. You thrive in a fast-paced, tech start-up like environment where the best ideas win. “Think Like a Scientist” is ingrained in how you work - always hypothesizing, always experimenting, always learning.

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.

Basic Qualifications

• 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)

Other Qualifications:

• Strong SQL and data-modeling skills; comfortable working directly in raw, partially documented, or partially instrumented datasets.
• 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.
• Experience with SaaS pricing analytics or usage-based/consumption pricing models specifically.
• Strong project management skills
• Experience applying organizational change management principles
• Experience working within an Agile/Scrum framework.
• Experience within the SaaS, cloud, or enterprise technology industries
• 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.
• Understanding of product management fundamentals

Workday Pay Transparency Statement

The annualized base salary ranges for the primary location and any additional locations are listed below. 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. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensivebenefits in Canada, please click here. For more information regarding Workday’s comprehensive benefits in the US, please click here.

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.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity 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. Any employee who retaliates against a candidate or employee for doing so may be subject to disciplinary action, up to and including termination of employment, to the fullest extent allowable under applicable law.

If you require a reasonable accommodation, you may email [email protected], as far in advance as possible.

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