Principal Product Manager - Data Analytics Platform
Listed on 2026-07-05
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IT/Tech
Business Systems/ Tech Analyst, Data Analyst
Principal Product Manager
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.
the Role
As a Principal Product Manager on the Workday Analytics Platform team, you will lead the product vision and strategy for Data Cloud, Workday's initiative to enable zero-access data inbound on the platform. You will also engage with partner Product Management teams to build a joint product roadmap that delivers a cohesive, end-to-end experience for customers.
In this role, you will be responsible for:
- Leading the vision and roadmap for Data Cloud and Prism's data integration capabilities, driving alignment and buy-in from key stakeholders across the organization
- Partnering with design, engineering, data science, and other product managers to evolve Workday's analytics platform, with a focus on delivering intuitive, no-code ETL experiences for data engineers and business analysts
- Engaging with partner Product Management teams to co-develop a joint product roadmap that ensures cohesion across Workday's broader data and analytics ecosystem
- Diving deep into customer use cases to understand how they leverage the platform for meaningful insights, and identifying, specifying, and prioritizing features through direct input from customers, analysts, developers, and architects
- Building domain expertise in data preparation, data management, data warehouses, query engines and feature engineering for data science, and serving as a thought leader in guiding customers toward their best business outcomes through analytics
- Acting as the Product Owner in one or more scrum teams — setting the vision, writing and prioritizing user stories, grooming the backlog, and communicating progress to stakeholders regularly
- Serving as the product champion externally by fostering a strong customer community and collaborating with Sales, Presales, Customer Success Management, and Product Marketing
- Consistently managing multiple projects, meeting deadlines, and delivering results in a fast-paced environment
Basic Qualifications:
- 10+ years of experience as a Product Manager delivering high-impact customer outcomes in SaaS, cloud, or enterprise data software environments
- Bachelor's degree or equivalent experience
Other
Qualifications:
- Strategic Thinking:
Ability to generate and apply unique business insights to shape the long-term vision for Data Cloud, including understanding the current business landscape, identifying opportunities, and developing plans that create a sustained advantage for Workday's analytics platform - Cross-Team
Collaboration:
Proven ability to work effectively with members from different teams — including engineering, design, data science, partner product management, sales, and customer success — to achieve shared goals, leveraging diverse perspectives and fostering a culture of mutual respect - Customer Empathy:
Deep understanding of customer needs, pain points, and experiences, with a demonstrated ability to listen actively, understand the customer's perspective, and translate those insights into product decisions that improve…
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