Product Owner Survey at NielsenIQ

Product Owner - Survey  Team: Survey Innovation & Enablement  Location: Bogotá, CO (hybrid) The Product Owner - Survey role supports the design, build and scaling of a modern, automated, and AIenabled survey system and process. This role focuses on transformation design, platform integration, feature build, user enablement, and operational scalability, ensuring survey products can be executed globally with speed, quality, and consistency.  Key Responsibilities  Product Build  • Conduct deep requirement discovery to understand the business needs.  • Refine client & business requirements into clear, actionable user stories and specifications for development teams.  • Facilitate conversations with requesters to ensure alignment, clarify scope, and uncover edge cases or dependencies.  • Partner with development throughout development cycle.  • Maintain Jira boards, Confluence documentation, and all requirement artifacts with clarity and accuracy.  • Build process flows, system documentation, product requirements, test plan, and user training documentation.  Automation & AI Enablement  • Drive adoption of AIsupported workflows across survey design, testing, fielding, analysis, and reporting  • Partner with delivery hubs to pilot, refine, and scale automation improvements  • Identify opportunities to reduce cycle time, manual effort, and error rates Enablement & Scale  • Create enablement materials (playbooks, guidelines, training content)   • Support onboarding and upskilling of delivery hubs on new tools, standards, and processes  • Act as a bridge between product roadmap and operational reality Skills & Competencies   • 3+ years of experience as a Product Analyst, Business Analyst, or similar (less experience accepted when skills strongly match).  • Excellent English communication, both written and verbal.  • Strong analytical and critical‑thinking capability, able to break down complex information and convert it into precise functional documents.  • Experience with survey solutions and understanding of consumer research preferred.  • Systems architecture understanding including API-based integrations  • JavaScript  • LLM & NLP knowledge.  • PowerBI / dashboard logic  • SQL & database knowledge  • Experience with SAFe Framework tools like Jira, Confluence, Kanban.    • Structured thinker with strong documentation and communication skills  • Curious, improvementoriented, and pragmatic Other desired skills  • Knowledge of authentication standards, security best practices, and compliance frameworks, exposure to frauddetection and antiabuse patterns is a plus.   Educational Requirements   • Bachelor’s degree in Computer Science, Engineering, or related field.   • Professional Fluency in English is required