We're looking for a Lead Data Product Manager to own the data products that power how we run the business. This is a greenfield opportunity: you'll build the foundations, earn stakeholder trust, and ship data products people actually use to make decisions.

You'll partner directly with Finance and People & Culture leaders to translate their priorities into well-scoped data products, working alongside Analytics and Data Engineering to bring them to life. You own requirements, quality, and adoption — not just delivery.

Every data product we build must support multiple consumers: a Finance analyst in a BI dashboard, an AI agent answering a business question, or a downstream application. Consistent definitions, reliable outputs, and documented semantics are the standard. You’ll also use AI in your own workflow to improve how you synthesize requirements, analyze stakeholder input, and accelerate product development.

This role reports to the VP, Data & Analytics.

What You'll Do

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

Drive Cross-Functional Alignment

• 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

Lead Data Product Development

• 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

Drive Adoption and Measure Impact

• 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

Build in Partnership with Engineering

• 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

Enforce Data Governance & Quality

• 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

Foster a Data-Driven Culture

• 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

What You'll Need

Minimum Qualifications

• 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

Preferred Qualifications

• 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

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Working Conditions

• Up to 10% travel for team events and internal company meetings.

• Reliable internet access required for remote work

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation—ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you’ll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you’re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we’d love to meet you.

Workiva is an Equal Opportunity 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, gender identity, race, religion, disability status, sexual orientation, or any other protected characteristic.  

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email [email protected].

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.