Data Product Owner

Senior Data Product Owner

Location: Palo Alto, CA (Hybrid - 3 days onsite per week)
Contract: 3-Month Contract
Potential Extension: Possible based on business needs and performance
Compensation: $48-$56/hr W2

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About the Role:

We're seeking a Senior Data Product Owner to serve as the key link between Finance and Data teams. This role will own revenue-related analytics and reporting, partnering closely with Finance leaders to define requirements, analyze data, build new metrics, and deliver actionable business insights. The ideal candidate is highly analytical, comfortable working independently with complex datasets, and experienced in SaaS revenue reporting.

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Key Responsibilities:

• Own and manage ARR and NRR reporting and analytics
• Partner directly with Finance stakeholders to gather and define business requirements
• Perform ad hoc revenue and financial analysis
• Support quarter-end close activities, reconciliations, and variance investigations
• Develop new business metrics, dashboards, and reporting solutions
• Analyze and model new revenue structures and go-to-market programs
• Prioritize requests and determine when engineering support is required
• Maintain data quality and ensure reporting accuracy for business-critical metrics

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Education & Experience Required:

• Bachelor's degree in Business, Finance, Analytics, Information Systems, or related field
• 10+ years of experience in Data Analytics, Revenue Analytics, Finance Analytics, FP&A, or similar functions
• Experience supporting Finance teams within a SaaS organization
• Experience working with auditable business or financial reporting
• Prior experience as a Data Product Owner, Analytics Product Owner, or Analytics Business Analyst

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Required Skills & Qualifications:

• Strong expertise with SaaS revenue metrics including ARR, NRR, churn, renewals, and bookings
• Advanced SQL skills with the ability to independently query large datasets
• Experience working with Snowflake
• Ability to read and understand dbt models
• Salesforce knowledge including opportunities, quotes, renewals, and related revenue processes
• Experience partnering directly with Finance stakeholders
• Quarter-end close, reconciliation, and variance analysis experience
• Experience defining new metrics and reporting frameworks
• Familiarity with AI and LLM tools to improve analysis and productivity

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Preferred Skills & Qualifications:

• Experience within a public SaaS company
• Revenue Operations or FP&A analytics background
• Subscription business model experience
• Dashboard and reporting development experience
• Exposure to financial audits and externally reported metrics
• Experience leading analytics initiatives across cross-functional teams

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