Application Guide

How to Apply for Lead Data Product Manager

at Workiva

๐Ÿข About Workiva

Workiva is at the forefront of integrated ESG reporting, offering a platform that helps organizations streamline climate impact and compliance. This mission-driven focus on sustainability combined with a remote-first culture makes it an attractive place for those who want to make a tangible environmental impact while working flexibly.

About This Role

As Lead Data Product Manager, you will own the data product roadmap for Finance and People & Culture, translating business needs into data products that drive decision-making. Your work directly impacts how Workiva manages its financial and human capital data, ensuring accuracy and reliability across critical internal functions.

๐Ÿ’ก A Day in the Life

Your day might start with a stand-up with the Data Engineering team to discuss pipeline progress, followed by a meeting with Finance stakeholders to review their reporting needs. After lunch, you'd analyze product usage metrics, then draft user stories for the next sprint, ending the day with a cross-functional alignment session on the People & Culture data roadmap.

๐ŸŽฏ Who Workiva Is Looking For

  • Has 6+ years in product management with at least 3 years focused on data products, analytics platforms, or data infrastructure.
  • Demonstrates experience building data products in Finance, HR, Legal, or operations domains, with a track record of driving adoption and measuring impact.
  • Possesses strong technical understanding of data pipelines, dimensional modeling, semantic layers, and modern analytics stacks (dbt, Snowflake, BI platforms).
  • Is proficient in SQL and comfortable independently querying and validating data.

๐Ÿ“ Tips for Applying to Workiva

1

Highlight specific data products you've built in Finance or HR domains, emphasizing how you translated business priorities into technical roadmaps.

2

Quantify the impact of your data products (e.g., improved data accuracy by X%, reduced reporting time by Y%).

3

Showcase your cross-functional collaboration experience, especially with Analytics and Data Engineering teams.

4

Mention any experience with ESG or sustainability data, as it aligns with Workiva's mission.

5

Tailor your resume to emphasize data product management over general PM experience; use terms like 'data product roadmap', 'semantic layer', 'dimensional modeling'.

โœ‰๏ธ What to Emphasize in Your Cover Letter

['Your passion for building data products that solve real business problems in Finance and HR.', "Specific examples of how you've driven cross-functional alignment and delivered data products from discovery to GA.", 'Your technical proficiency with SQL and modern analytics stacks, and how you use it to validate data and guide engineering decisions.', "Alignment with Workiva's mission of transparent ESG reporting and how your work can contribute to that goal."]

Generate Cover Letter โ†’

๐Ÿ” Research Before Applying

To stand out, make sure you've researched:

  • โ†’ Understand Workiva's ESG reporting platform and how it integrates with financial data.
  • โ†’ Familiarize yourself with Workiva's remote culture and their tools for collaboration (e.g., Slack, Zoom, etc.).
  • โ†’ Read about Workiva's recent product announcements or case studies related to Finance or HR analytics.
  • โ†’ Look into Workiva's values and mission statement to see how they emphasize transparency and impact.

๐Ÿ’ฌ Prepare for These Interview Topics

Based on this role, you may be asked about:

1 How would you prioritize features for a Finance data product roadmap?
2 Describe a time you had to align stakeholders from Finance, Analytics, and Engineering on a data product.
3 How do you define and measure success for a data product?
4 Explain dimensional modeling and how you'd use it to build a People & Culture data product.
5 Walk us through how you'd validate data accuracy in a data pipeline using SQL.
Practice Interview Questions โ†’

โš ๏ธ Common Mistakes to Avoid

  • Focusing too much on general product management without highlighting data-specific experience.
  • Underestimating the importance of SQL proficiency; be ready to demonstrate it.
  • Ignoring the ESG angleโ€”failing to connect your experience to Workiva's mission can make your application seem generic.

๐Ÿ“… Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

โœ“

Offer

Congratulations!

Ready to Apply?

Good luck with your application to Workiva!