Senior Product Data Scientist, Workday
CA$124.4-186.6k
Additional US Location(s) Base Pay Range: $148,200 USD - $263,300 USD
More information about location
Enterprise AI platform for managing HR, finance & IT
Be an early applicant
Enterprise AI platform for managing HR, finance & IT
1001+ employees
Be an early applicant
CA$124.4-186.6k
Additional US Location(s) Base Pay Range: $148,200 USD - $263,300 USD
More information about location
1001+ employees
Company mission
To leverage the power of AI to elevate humans and supercharge work, moving business forever forward.
Role
Who you are
- 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
- 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; 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
What the job involves
- 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
- 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
Our take
Workday is a cloud-based software vendor that provides management of workforces and finances. The company uses a single database for workforce management and financial management to offer integration and optimize business intelligence across companies. It has added to the packages and tools it offers over the years, providing analytic options that allow companies to combine third-party data with information collected by Workday.
The company has also grown through acquisitions and partnerships to broaden its capabilities. Most recently, in 2025 it purchases Sana, an AI-driven enterprise knowledge and learning platform, to create a "new front door for work". This acquisition allows Workday to integrate Sana's AI-powered search, agents, and learning capabilities with its own data and workflows, allowing employees to access information, automate tasks, and complete their day entirely within Workday.
Through a combination of strategic acquisitions and in-house development, Workday has built a comprehensive suite of HR, financial, and enterprise tools. By focusing on innovation and AI-driven workflows, the company continues to push productivity and decision-making for organizations worldwide. Building on this track record, Workday is very much positioned for even more growth, reinforcing its status as a leader in shaping the future of work.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
16% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Oct 2011
$85m
SERIES F
Apr 2009
$75m
SERIES E
Total funding: $215.3m
Company HQ
Pleasanton, CA
Leadership
Aneel Bhusri
(Co-Founder & CEO)Annel began their career at Morgan Stanley as a Corporate Finance Analyst. They then spent nearly 6 years at PeopleSoft as a Senior VP before co-founding Workday in 2005.
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