Senior Product Analyst - Data & Integration

Who We Are

Join a team that puts its People First! Since 1889, First American (NYSE: FAF) has held an unwavering belief in its people. They are passionate about what they do, and we are equally passionate about fostering an environment where all feel welcome, supported, and empowered to be innovative and reach their full potential. Our inclusive, people-first culture has earned our company numerous accolades, including being named to the Fortune 100 Best Companies to Work For® list for eleven consecutive years.

We have also earned awards as a best place to work for women, diversity and LGBTQ+ employees, and have been included on more than 50 regional best places to work lists. First American will always strive to be a great place to work, for all. For more information, please visit

** Remote Work Welcome
** Join the ranks of visionary technology leaders at First American—where history meets innovation, and tradition fuels transformation. As a Senior Product Analyst – Data & Integration, you'll play a critical role in shaping how customer data powers the future of our sales, marketing, service, and AI capabilities.

• Partner with Marketing, Sales, Data Operations, Engineering, and Enterprise Data teams to define business capabilities supported by Salesforce, Data
  360, Marketing Cloud, and custom platforms.
• Lead discovery sessions with business stakeholders to identify customer, engagement, operational, and behavioral data requirements that support sales, marketing, servicing, analytics, and AI capabilities.
• Partner with business stakeholders to define the business logic, data requirements, and integration patterns that govern how customer and engagement data is captured, transformed, activated, and shared across enterprise platforms.
• Translate business objectives into scalable business requirements, user stories, process flows, functional specifications, and data mapping documentation that support technical implementation.
• Collaborate with Engineering and Enterprise Data teams to design scalable, reusable integration patterns that improve platform interoperability, reduce duplicate development, and accelerate delivery.
• Define business rules supporting customer & engagement data assets across Salesforce and connected platforms.
• Serve as the liaison between Sales, Marketing, Data Operations, and Engineering teams to ensure enterprise customer data supports current business capabilities and future AI‑driven experiences.
• Support AI-enabled solutions by ensuring customer profile, engagement, and operational data are connected, accessible, and optimized for intelligent automation, predictive insights, and agentic experiences.
• Collaborate with Product Managers to ensure product roadmaps incorporate enterprise data and integration capabilities while maintaining alignment across Salesforce, marketing technologies, and custom business applications.
• Continuously evaluate business processes and identify opportunities to improve operational efficiency through automation, reusable integration patterns, and modern platform capabilities.
• Create and maintain business documentation, including process maps, functional requirements, user stories, acceptance criteria, and integration specifications.

• Bachelor's degree in Business, Information Systems, Computer Science, Data Analytics, or a related discipline, or equivalent experience.
• 5+ years of experience leading business analysis, product analysis, or solution analysis within Salesforce or enterprise CRM ecosystems.
• Experience working with Salesforce Sales Cloud, Service Cloud, Marketing Cloud, and Data
  360.
• Experience with customer data platforms such as Segment.
• Strong understanding of enterprise customer data, data integration, identity resolution, APIs, event‑driven architectures, and modern integration patterns.
• Expertise in requirements gathering, business process analysis, stakeholder facilitation, process modeling, and user story development.
• Strong understanding of customer data governance, data quality, and business data stewardship.
• Excellent communication and influencing skills.
• Experience supporting enterprise AI initiatives,…