As a Lead Data Product Manager, you will own the end-to-end lifecycle of our strategic data products, from ideation to launch. Collaborating with cross-functional teams—including engineering, analytics, and business partners—you will define a clear vision, establish scalable frameworks, and ensure our data capabilities deliver measurable value to the organization and our customers. In this role, you will bridge the gap between business needs and technical solutions, shaping innovative data products that empower stakeholders to make informed decisions and unlock new growth opportunities.
 
This role will report to VP, Data & Analytics within the Business Technology (BT) organization. BT powers Workiva’s growth, enhances the employee experience, and boosts organizational productivity with tech-driven transformation and innovative solutions. The Data & Analytics team drives data-driven decisions and innovations across Workiva.

What You’ll Do 
Define the Data Product Vision

Collaborate with stakeholders to proactively understand and synthesize data needs across business functions

Identify common components and foundational data requirements to build scalable data models and analytical solutions

Develop a compelling vision and roadmap for strategic data products that align with business objectives and drive measurable outcomes

Drive Cross-Functional Prioritization and Alignment

Establish and socialize a cross-functional prioritization framework to balance competing needs and drive stakeholder alignment

Lead ongoing prioritization efforts, ensuring a balance between consensus building and time to value

Lead Data Product Development

Manage the full lifecycle of key data products, including requirements gathering, development, and launch

Define and enforce processes and standards to ensure data products meet the diverse needs of stakeholders

Efficiently multitask across various data initiatives, balancing long-term strategic goals with immediate tactical needs

Drive Adoption and Measure Success

Engage with data users pre- and post-launch to ensure data products deliver on their intended business outcomes

Define success metrics and key performance indicators (KPIs) to track the adoption, accountability, and impact of data products

Build to Scale

Partner with Data Engineering, Analytics Engineering, BI Engineering, and Decision Science teams to design and implement scalable data models, pipelines, and analytical solutions

Identify opportunities to streamline data ingestion, transformation, and delivery processes, ensuring efficiency and accuracy at scale

Leverage cutting-edge technologies and best practices to future-proof our data infrastructure and maximize the impact of analytical capabilities

Foster a Data-Driven Culture

Craft and present compelling data stories to inspire action and engagement from both technical and non-technical stakeholders

Develop and deliver enablement resources—such as workshops, training sessions, and documentation—that empower teams to effectively utilize data tools and products

What You’ll Need 
Minimum Qualifications 

8+ years of product management experience in a related industry

Bachelor’s degree in Engineering, Computer Science, Data Science, or a related field, or equivalent technical experience

Proven track record of delivering impactful data products that drive business growth and innovation

Preferred Qualifications 

Background in SaaS or experience working with subscription-based business models

Deep understanding of data architecture, ETL processes, APIs, machine learning, and analytical best practices

Strong understanding of data pipelines, databases, data models, and analytics platforms

Exceptional communication and stakeholder management skills, bridging technical and non-technical audiences

Proven ability to lead cross-functional teams in defining product vision, establishing requirements, coordinating resources, and navigating key milestones.

Ability to analyze and use data to inform decision-making and product prioritization

Entrepreneurial spirit with a beginner’s mindset and the ability to execute complex product initiatives

Experience with tools we use every day (Cloud Platforms: AWS, Snowflake), (Data Technologies: Redshift, BigQuery, Fivetran, Airflow, dbt), (Visualization Tools: Quicksight, Superset, or Python libraries (e.g., Seaborn, Matplotlib), (Analytics: SQL, SageMaker)

Travel Requirements & Working Conditions

Less than 20% travel

Reliable internet access for any period of time working remotely, not in a Workiva office

How You’ll Be Rewarded

✅ Salary range in the US: $151,000.00 - $242,000.00

✅ A discretionary bonus typically paid annually

✅ Restricted Stock Units granted at time of hire

✅ 401(k) match and comprehensive employee benefits package

The salary range represents the low and high end of the salary range for this job in the US. Minimums and maximums may vary based on location. The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience and other relevant factors.

Workiva is an Equal Employment Opportunity and Affirmative Action Employer.  We believe that great minds think differently.  We value diversity of backgrounds, beliefs, and interests, and we recognize diversity as an important source of intellectual thought, varied perspective, and innovation.  Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression genetic information, marital status, citizenship status or any other protected characteristic.  We strongly encourage and welcome people from historically marginalized groups to apply.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email talentacquisition@workiva.com.
 

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.

#LI-LP1