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