> Markdown version of [/jobs/ext/3140760-data-product-owner](https://www.wearedevelopers.com/jobs/ext/3140760-data-product-owner). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Product Owner - **Company:** SolutionIT, Inc. - **Location:** Palo Alto, CA, United States - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** Artificial Intelligence, Software as a Service, Salesforce.Com, Snowflake, Data Analytics - **Published:** September 29, 2026 - **Apply:** https://www.dice.com/job-detail/5ac767c8-4999-4957-b58d-d157f93d5270 ## About the Role * 10+ years of experience in data analytics, with exposure to revenue analytics, finance analytics or FP&A systems, at least part of it at a public SaaS company * Deep working knowledge of SaaS revenue metrics: ARR, NRR, churn, renewals, ATR, bookings * Knowledge of Salesforce, including its objects (opportunities, quotes, entitlements, renewals) and how they flow. Practical understanding of deal constructs: ramp, flex, multi-year, delayed start, co terming, early renewal * Strong SQL. You must be able to query Snowflake independently and read dbt models to trace how a number was built * Fluency with AI and LLM tools, used to accelerate technical delivery and to produce analysis ready for presentation * Demonstrated business partnering with Finance, including through quarter end close * Experience supporting reported figures, where accuracy is auditable * Prior data product owner or analytics business analyst role with backlog ownership * Experience defining metrics that did not previously exist, not only maintaining existing ones ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [How Data is Shaping our Games](https://www.wearedevelopers.com/videos/176-how-data-is-shaping-our-games) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) ## Related Articles - [Your AI coding tool is getting used. But is it doing anything useful?](https://www.wearedevelopers.com/magazine/758-your-ai-coding-tool-is-getting-used-but-is-it-doing-anything-useful) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)