Role Description We are looking for a Data Product Owner to lead the delivery of strategic data products that support Property & Casualty (P&C) Insurance and Distribution business teams. In this role, you will serve as the primary bridge between business stakeholders and technical teams, ensuring data solutions are aligned with business priorities and delivered with quality, scalability, and measurable value. You will own the product backlog, define priorities, facilitate User Acceptance Testing (UAT), and drive the development of a new enterprise data warehouse that will provide trusted, consistent, and scalable data across multiple business functions. While this is not a hands-on engineering role, the ideal candidate will have a strong technical understanding of modern data platforms and be comfortable collaborating with data engineers, architects, and business leaders. This is a fully remote position that requires a collaborative mindset, strong communication skills, and the ability to thrive in a fast-paced, evolving environment. What You'll Do - Own and manage the product backlog for strategic data initiatives, ensuring work is aligned with business priorities and enterprise data objectives - Partner with business stakeholders to understand requirements, define product vision, and translate business needs into actionable user stories - Prioritize features, enhancements, and technical work to maximize business value and support delivery roadmaps - Facilitate communication between business teams, data engineers, architects, and technical delivery teams - Lead User Acceptance Testing (UAT) by defining validation criteria and ensuring delivered solutions meet business requirements and quality standards - Support the development and evolution of a centralized enterprise data warehouse and foundational data products - Collaborate with Information Delivery and Data Engineering teams to define technical requirements and ensure scalable data solutions - Ensure data quality, consistency, and governance across multiple data sources - Identify opportunities for automation and process improvements using modern data technologies - Facilitate stakeholder meetings, prioritize competing requests, and drive alignment across cross-functional teams - Track product progress, communicate risks, and provide regular updates to business and technical stakeholders - Promote Agile and SAFe best practices while supporting sprint planning, backlog refinement, and product delivery activities - Build strong partnerships across business and technology teams to ensure successful product adoption and long-term value delivery Qualifications - Years of experience as a Product Owner, Business Analyst, Data Analyst, or similar role supporting data products or analytics initiatives - Strong understanding of data warehousing, data integration, and enterprise data management concepts - Experience working with SQL and Snowflake to understand and validate data solutions - Strong Excel skills with experience analyzing and validating complex datasets - Basic knowledge of Python, with an understanding of how it can support automation and data processes - Experience working within Agile or SAFe delivery environments - Strong understanding of User Acceptance Testing (UAT), backlog management, and requirements prioritization - Experience working with cross-functional technical and business teams - Excellent communication, facilitation, and stakeholder management skills - Strong analytical thinking, organization, and problem-solving abilities - Ability to work independently and manage multiple priorities in a fast-changing environment Benefits - Comprehensive benefits package - Career development and training opportunities - Flexible work arrangements - Dynamic and inclusive work culture within a globally renowned group - Private Health Insurance - Pension Plan - Paid Time Off - Training & Development Company Description Farmers Insurance is one of the United States’ largest insurers, providing a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, Farmers Insurance is part of one of the largest Insurance Groups in the world.

• Own the Subscriptions roadmap. • Run end to end: research and discovery, prioritization, pushing work into development, delivery, educating the sales team, preparing documentation for each release. • Stay close to publishers who run subscription businesses on Xsolla and to their subscribers. • Find what moves retention and revenue, decide what gets built and in what order, and drive it from idea through delivery and adoption. • Work with a tech lead and engineers, and coordinate across Payments, Anti-fraud, Auth, Catalog, Shop Builder, LiveOps, Analytics, and others.

• End-to-end product development: idea generation, market research, supplier sourcing, sample management, and launch execution. • Build scalable systems: SOPs, playbooks, and pipeline trackers to ensure repeatable success. • Lead supplier negotiations, manage quotes and samples, and maintain supplier databases. • Execute product launches on Amazon: PPC strategy, Vine enrollment, coupon campaigns, and A/B content testing. • Deliver clear, data-driven recommendations (Go/No-Go) and stand behind decisions. • Provide weekly pipeline updates and monthly portfolio reviews to leadership.

• Execute against the Compass AI product roadmap in close collaboration with the VP of Product, translating strategic direction into well-scoped, deliverable work. • Identify and prioritize high-potential AI use cases across academic advising, enrollment, financial aid, retention, and student wellbeing, drawing on our library of 170+ agent concepts and emerging market signals. • Contribute to shaping the path from current-state tooling toward agentic, autonomous workflows, including multi-agent coordination, advisor copilots, and proactive outreach systems. • Surface findings, tradeoffs, and recommendations clearly so the VP of Product and broader leadership can make informed decisions quickly. • Lead structured discovery with institutional customers to validate hypotheses, surface unmet needs, and pressure-test AI concepts before committing to build. • Spend meaningful time with advisors, enrollment counselors, financial aid staff, and other end users to understand how they work, what slows them down, and where AI can genuinely help. This is a collaborative, hands-on process and you will not be doing it alone. • Design and run pilots and prototype evaluations, synthesizing feedback to inform what to build next and where to course-correct. • Help develop and maintain a human-in-the-loop framework that ensures AI recommendations are actionable, trustworthy, and appropriately escalated. • Translate strategy into clear, actionable work across engineering and design: epics, problem statements, user stories, and success criteria that give teams what they need to move without over-specifying implementation. • Maintain a clear, up-to-date view of what is in progress, what is coming next, and what is changing and why. • Identify and resolve ambiguity before it reaches engineering. Establish consistent ways of documenting and communicating product decisions. • Partner closely with engineering to shape solutions, incorporate technical considerations early, and align on expectations before work begins. • Proactively communicate roadmap updates to Sales, Customer Success, and leadership so internal teams always know what is shipping and what is coming. • Collaborate with Legal, Compliance, and Customer Success to navigate institutional and regulatory considerations as new AI capabilities are introduced. • Partner with the go-to-market team to ensure AI capabilities are positioned and communicated in ways that land with higher ed audiences. • Support the expansion of Compass AI's agent library, including agent scope, trigger logic, escalation behavior, and intervention design across student success domains. • Help drive integration of new AI tooling (LLMs, workflow automation, data pipelines) into the Compass platform in coordination with engineering. • Stay current on the AI vendor landscape and contribute informed perspective on build vs. buy vs. partner decisions.