A technology services organization in Texas is seeking a Technical Product Owner for a hybrid role in Fort Worth.
About the Opportunity:
Responsibilities:
Define and communicate product vision and roadmap for mobile analytics initiatives
Translate business needs into technical requirements, user stories, and actionable analytics solutions
Lead backlog refinement and prioritization for technical features, enhancements, and platform capabilities
Partner with engineering, architecture, UX, QA, and data teams to deliver analytics solutions and remove roadblocks
Support measurement strategy, KPI and OKR definition, A/B testing, and continuous improvement efforts
Qualifications:
2 to 3 years of related experience
Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, Business Analytics, Information Systems, or a related field
Experience supporting analytics implementation, digital product measurement, or data collection for native mobile applications
Experience gathering business requirements and translating them into technical analytics requirements or user stories
Working knowledge of Adobe Analytics or a similar digital analytics platform
Understanding of native mobile app development and release processes across iOS and Android
Understanding of A/B testing concepts, experiment measurement, success metrics, and data validation
Experience working in an Agile environment and participating in backlog refinement, sprint planning, testing, and release activities
Strong analytical, problem-solving, organizational, and communication skills
Desired Skills:
Experience with Quantum Metric, Celebrus, or Adobe Experience Platform Mobile SDK
Experience defining mobile app data collection requirements, event taxonomies, data dictionaries, and measurement frameworks
Experience supporting mobile app A/B testing and optimization programs
Experience with mobile analytics debugging, proxy, or validation tools
Knowledge of customer journey analysis, funnel analysis, feature adoption, engagement, conversion, and behavioral analytics
Familiarity with SQL, JSON, APIs, data layers, or analytics data pipelines
Understanding of privacy, consent, and data governance considerations for mobile analytics
.png?format=webp)
