Digital Product Owner - Mobile Analytics/Adobe Analytics

Digital Product Owner - Mobile Analytics/Adobe Analytics

Summary

• Responsibilities:
• Define and communicate a compelling product vision. Develop and manage roadmaps for IT applications, ensuring alignment with enterprise architecture, business objectives, and long-term sustainability
• Operate as the primary liaison between engineering, architecture, and business stakeholders to translate business needs into technical requirements and ensure alignment across teams
• Lead backlog refinement and prioritization for technical features, application enhancements, and infrastructure capabilities. Balance technical debt, scalability, and business value
• Gather insights from internal users and stakeholders to identify pain points and opportunities to translate feedback into actionable technical solutions
• Partner with engineering, architecture, and design teams to ensure successful delivery of technical products and facilitate decision-making and remove roadblocks
• Define and track product KPIs and OKRs that measure application performance, reliability, and business impact. Use data to inform decisions and drive continuous improvement
• Stay ahead of industry trends, emerging technologies, and best practices. Drive innovation in technical product offerings
• Ensure technical products align with architectural standards, enterprise priorities, and long-term strategic goals. Make trade-offs that optimize for scalability and sustainability
• Requirements:
• 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
• Experience with Adobe Analytics, Quantum Metric and Celebrus
• Experience with Adobe Experience Platform Mobile SDK or comparable iOS and Android analytics SDK implementations
• Experience defining mobile app data collection requirements, event taxonomies, data dictionaries, and measurement frameworks
• Understanding of native mobile app development and release processes across iOS and Android
• Experience supporting A/B tests on mobile applications, including experiment exposure tracking, variant identification, conversion measurement, and result validation
• 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
• Ability to manage multiple priorities and dependencies while meeting delivery commitments
• Excellent interpersonal and communication skills with the ability to tailor technical information for different audiences
• Ability to work effectively with Product, Engineering, UX, QA, Data Engineering, Analytics and vendor partners
• Education:
• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, Business Analytics, Information Systems or a related field