Senior 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 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. Key Responsibilities Own and manage ARR and NRR reporting and analyticsPartner directly with Finance stakeholders to gather and define business requirementsPerform ad hoc revenue and financial analysisSupport quarter-end close activities, reconciliations, and variance investigationsDevelop new business metrics, dashboards, and reporting solutionsAnalyze and model new revenue structures and go-to-market programsPrioritize requests and determine when engineering support is requiredMaintain data quality and ensure reporting accuracy for business-critical metrics Education & Experience Required Bachelor's degree in Business, Finance, Analytics, Information Systems, or related field10+ years of experience in Data Analytics, Revenue Analytics, Finance Analytics, FP&A, or similar functionsExperience supporting Finance teams within a SaaS organizationExperience working with auditable business or financial reportingPrior experience as a Data Product Owner, Analytics Product Owner, or Analytics Business Analyst Required Skills & Qualifications Strong expertise with SaaS revenue metrics including ARR, NRR, churn, renewals, and bookingsAdvanced SQL skills with the ability to independently query large datasetsExperience working with SnowflakeAbility to read and understand dbt modelsSalesforce knowledge including opportunities, quotes, renewals, and related revenue processesExperience partnering directly with Finance stakeholdersQuarter-end close, reconciliation, and variance analysis experienceExperience defining new metrics and reporting frameworksFamiliarity with AI and LLM tools to improve analysis and productivity Preferred Skills & Qualifications Experience within a public SaaS companyRevenue Operations or FP&A analytics backgroundSubscription business model experienceDashboard and reporting development experienceExposure to financial audits and externally reported metricsExperience leading analytics initiatives across cross-functional teams #INDPRO