Digital Product Owner - Mobile Analytics/Adobe Analytics

InnoCore Solutions, Inc.; Dallas (TX); On-site; USD 110,000 - 150,000; Full time

Job summary

InnoCore Solutions, Inc. is seeking a mobile analytics product owner to lead analytics for native apps. You will bridge product, engineering, UX, QA, data engineering, and vendor partners to translate business needs into precise analytics requirements and roadmaps.

You will define data collection, measurement frameworks, and dashboards, and drive data-driven improvements while ensuring privacy and governance considerations are integrated into every release.

Qualifications

• Experience supporting analytics implementation for native mobile apps.
• Translate business requirements into analytics requirements or user stories.
• Experience with mobile analytics SDKs and data collection frameworks.

Responsibilities

• Define and communicate a compelling product vision and roadmaps for IT apps.
• Coordinate between engineering, architecture, and business to translate needs.
• Refine backlog for technical features, balance debt and value.
• Gather user insights to identify pain points and opportunities.
• Partner with teams to ensure on-time delivery of technical products.
• Define and track KPIs/OKRs for app performance and impact.
• Stay ahead of trends and drive innovation in technical products.
• Align products with architectural standards and long-term goals.

Skills

Analytics mindset

Stakeholder comms

Project management

Cross-functional teamwork

Education

Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Engineering, Business Analytics, Information Systems or related field

Tools

Adobe Analytics

Quantum Metric

Celebrus

Adobe Experience Platform Mobile SDK

SQL

JSON

Job description

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