Product Owner - Digital, Marketing Data Analytics, AI

Position: Product Owner - Digital, Marketing Data Analytics, AI

Location: Fort Worth, Texas

Duration: Contract

Job ID: 179421

Job Overview:

We are seeking a skilled and motivated Product Owner to join our team in Fort Worth, Texas. The ideal candidate will play a pivotal role in defining and managing product roadmaps, collaborating with cross-functional teams, and ensuring the successful delivery of technical solutions. This position requires a strong background in mobile analytics, stakeholder management, and Agile methodologies.

Responsibilities:

• Define and communicate a compelling product vision and develop/manage roadmaps for IT applications aligned with business objectives and long-term sustainability.
• Act as the primary liaison between engineering, architecture, and business stakeholders to translate business needs into technical requirements.
• Lead backlog refinement and prioritization for technical features, application enhancements, and infrastructure capabilities, balancing technical debt, scalability, and business value.
• Gather insights from internal users and stakeholders to identify pain points and opportunities, translating feedback into actionable technical solutions.
• Collaborate with engineering, architecture, and design teams to ensure successful delivery of technical products, facilitate decision-making, and remove roadblocks.
• Define and track product KPIs and OKRs to measure application performance, reliability, and business impact, using data to drive continuous improvement.
• Stay ahead of industry trends, emerging technologies, and best practices to drive innovation in technical product offerings.
• Ensure technical products align with architectural standards, enterprise priorities, and long-term strategic goals, optimizing for scalability and sustainability.

Qualifications:

• Minimum Qualifications:

• 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.

• Proficiency in 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.

• Familiarity with A/B testing concepts, experiment measurement, success metrics, and data validation.

• Experience working in an Agile environment, including backlog refinement, sprint planning, testing, and release activities.

• Strong analytical, problem-solving, organizational, and communication skills.

• Preferred Qualifications:

• Master's degree in Statistics, Applied Mathematics, Computer Science, Economics, Engineering, Business Analytics, or a related field.

• Experience with Adobe Analytics, Quantum Metric, and Celebrus.

• Proficiency 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.

• Experience supporting A/B tests on mobile applications, including experiment exposure tracking, variant identification, conversion measurement, and result validation.

• Familiarity 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.

About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit www.ptrglobal.com

At PTR Global, we understand the importance of your privacy and security. We NEVER ASK job applicants to:

• Pay any fee to be considered for, submitted to, or selected for any opportunity.
• Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process.
• Provide sensitive financial information such as credit card numbers or banking information. Successfully placed or hired candidates would only be asked for banking details after accepting an offer from us during our official onboarding processes as part of payroll setup.

Pay Range: $40- $45

The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.

If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 214-740-2424. To report any concerns, please email us at legal@pinnacle1.com

During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.

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