Data Analyst - Product Owner

Data Analyst – Product Owner at State Farm leads end-to-end testing solutions within the Property and Casualty Auto/Fire Test Enablement Innovation Team, emphasizing GenAI/AI, cloud and platform engineering, with opportunities to lead small development teams in a hybrid Richardson, TX setting.

Responsibilities

• Design, develop, and test automated solutions for various testing modalities.
• Continuously expand knowledge in the data field and related tools to tackle diverse assignments and product initiatives.
• Collect and analyze stakeholder information to identify technical needs, propose solutions, and craft implementation and integration plans, including technical proposals.
• Build business domain understanding of State Farm data sources and pursue acquisition of internal and external data resources as needed.
• Oversee the analysis, design, deployment, support, and security of technology to ensure efficient management of data assets in line with regulations and industry best practices.
• Apply DevOps and Agile thinking as the team stewards a product from inception to sunset, fostering a growth mindset.
• Develop and evaluate functional specifications and collaborate with engineers to implement technology solutions.
• Assist the product leader in defining user stories and own non-development stories.
• Collaborate with the product team and stakeholders to understand, document, and communicate requirements aligned with the product objective, vision, and strategy; measure success by outcomes and value delivery.
• Provide product and process knowledge to support design, development, testing, and execution of solutions.
• Ensure work complies with enterprise policies and standards within the domain of responsibility.
• Perform user acceptance testing, including end-user, performance, and business user testing, and contribute to test automation efforts.
• Identify, manage, and facilitate resolution of risks, issues, and defects.
• Offer problem-resolution support and guidance to business and department partners.

Requirements

• Preferably experience in Property & Casualty insurance.
• AI and machine learning experience is a plus.
• Strong proficiency with Terraform Enterprise.
• Hands-on experience with Karate, SoapUI, Postman, JMeter, Artillery, Gatling tools.
• Experience automating scripts.
• Experience building GitLab CI/CD pipelines from scratch.
• Comfortable working with onsite and offshore delivery models.

Technologies

• Terraform Enterprise
• Karate
• SoapUI
• Postman
• JMeter
• Artillery
• Gatling
• GitLab CI/CD

Benefits

• Salary range of USD 80,000 to 125,000 per year; starting pay reflects skills and experience; upper end reserved for substantial relevant expertise.
• Potential annual incentive pay up to 15 percent of base salary.
• Annual raises and bonus programs.
• Health and wellness programs with State Farm covering most healthcare premiums; multiple plan options including a high deductible plan; 100 percent in-network preventive care coverage.
• Vision, dental, telemedicine, 24/7 mental health support, and additional benefits.
• Educational benefits including tuition assistance, industry-leading training, mentoring, and employee resource groups.
• Fertility, IVF and adoption assistance; college coaching; national discount programs; monthly financial workshops; free financial coaching.
• Financial benefits through State Farm Federal Credit Union; 401(k) with company contributions up to 7 percent.
• Generous time off: up to 20 days annually plus parental leave, holidays, celebration day, life leave, bereavement leave, and community service/education days.
• Matching Gift Program, Good Neighbor Grant Program, and Employee Assistance Fund.

Overview

State Farm centers its work on being good neighbors by helping people, investing in communities, and improving the world. The company aims to become a Next Gen Good Neighbor with technology that strengthens human connections and enhances the customer experience, encouraging employees to apply judgment, empathy, and expertise in moments that matter.