Lead Data Product Manager
Location
United States
Posted
9 days ago
Salary
$151K - $242K / year
Seniority
Senior
Job Description
Lead Data Product Manager
Workiva
• Define and Own the Data Product Roadmap • Partner with Finance and P&C leaders to identify data gaps, prioritize opportunities, and build a roadmap that delivers measurable value • Design data products that support multiple consumption patterns, including BI tools, AI-enabled experiences, and business applications • Use data usage patterns — dashboard activity, query volume, and recurring reporting requests — to proactively identify unmet needs • Translate business objectives into clear requirements, challenging assumptions early to ensure teams are solving the right problems • Serve as a strategic data partner across business stakeholders, Analytics, and Data Engineering teams • Facilitate collaboration across functions while identifying shared data needs and reducing siloed solutions • Build prioritization frameworks that balance competing needs and provide transparency around trade-offs • Communicate effectively with technical teams, business leaders, and executives • Own the full product lifecycle across multiple Finance and P&C initiatives, from discovery through Alpha, Beta, and GA releases • Design user-focused data experiences that balance technical requirements with stakeholder needs • Define and maintain semantic contracts, including field definitions, metric logic, and data grain specifications • Identify reusable data assets and scalable models that support multiple downstream use cases • Maintain a high bar for accuracy, freshness, and reliability while proactively resolving issues before they impact users or AI workflows • Use AI tooling to improve product workflows, including requirements synthesis, AI-assisted SQL validation, catalog generation, and data pattern analysis • Define success metrics for each data product and measure adoption and business impact over time • Develop a deep understanding of end-user workflows and leverage personas to create solutions that address real business needs • Gather stakeholder feedback after launch and continuously improve products based on usage and outcomes • Ensure data products are structured and documented to support trusted AI-enabled experiences • Serve as the product counterpart to Data and Analytics Engineering — owning the what and why while partnering on the how • Collaborate on semantic layer design and dbt transformations to create consistent metric definitions across BI tools, LLMs, reverse ETL pipelines, and applications • Identify opportunities to improve ingestion, transformation, and delivery processes while advocating for investments that increase reliability and scalability • Lead Agile delivery cycles by translating roadmap priorities into Initiatives and Epics with clear acceptance criteria • Lead data catalog efforts for your product area, including discoverability, lineage tracking, and documentation • Champion data quality frameworks and governance standards around access controls, retention, and responsible data usage • Partner across teams to solve systemic data challenges rather than shifting complexity downstream • Present compelling data stories that help technical and non-technical stakeholders make informed decisions • Develop enablement resources, including workshops, documentation, and training, to increase adoption of data products • Build AI literacy across stakeholder communities by helping teams understand how to effectively use AI tools grounded in trusted data • Contribute reusable components, patterns, and best practices that help the broader Data & Analytics organization accelerate delivery
Job Requirements
- 6+ years in product management, with 3+ years focused on data products, analytics platforms, or data infrastructure
- Demonstrated experience building data products in a Finance, HR, Legal, operations, or similar business domain
- Bachelor’s degree in Engineering, Computer Science, Data Science, Business, or equivalent experience
- Proven ability to operate in greenfield or early-stage data environments where you’ve created structure while delivering results
- Strong understanding of data pipelines, dimensional modeling, semantic layers, and modern analytics stacks (dbt, Snowflake, BI platforms)
- Solid understanding of data governance principles, including metadata management, lineage, quality frameworks, and access controls
- Proficiency in SQL with the ability to independently query and validate data
- Exceptional stakeholder management skills across senior business and technical audiences
- Background in SaaS or product-led growth companies
- Experience with data catalog platforms (e.g., Atlan, Alation)
- Familiarity with cloud and data tooling: Cloud: AWS, Snowflake; Transformation & orchestration: dbt, Fivetran, Airflow; Visualization: Quicksight, Omni, Sigma; Analytics: SageMaker, Python (Pandas, Seaborn); Project Management: Jira, Confluence, Figma
Benefits
- A discretionary bonus typically paid annually
- Restricted Stock Units granted at time of hire
- 401(k) match and comprehensive employee benefits package
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