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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Product Owner, Decisioning Intelligence - **Company:** Dentsu Creative - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $113,000.0 - $170,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Data Analysis, Software as a Service, Cloud Engineering, Scrum Methodology, Software Product Management, Media Technology, Atlassian Tools, Data Analytics, Data Management, Databricks - **Published:** July 31, 2026 - **Apply:** https://dentsuaegis.wd3.myworkdayjobs.com/DAN_GLOBAL/job/New-York/Senior-Product-Owner--Decisioning-Intelligence_R1128594 ## About the Role * Experience in Product Management, Product Ownership, or Technical Product Management. * Proven success managing products through the full lifecycle, from concept through delivery. * Strong understanding of Agile methodologies and product development practices. * Experience creating roadmaps, managing backlogs, writing requirements, and supporting sprint execution. * Advanced proficiency with Jira and Confluence. * Ability to translate business needs into actionable technical requirements. * Strong communication, collaboration, and stakeholder management skills. * Experience working with technical and non-technical teams. * Interest in AI-powered products and emerging technologies., * Experience within media, advertising, marketing technology, advertising technology, analytics, or measurement environments. * Knowledge of marketing measurement, attribution, forecasting, media performance, or related analytics disciplines. * Familiarity with Databricks or modern cloud-based data platforms. * Experience supporting AI, analytics, or data-driven products. * Agency, consulting, SaaS, ad tech, martech, or analytics platform experience. ## Description As the owner of the DDI product portfolio, you will: * Define, manage, and evolve the product roadmap and backlog. * Partner with business stakeholders to understand needs and prioritize opportunities. * Translate complex requirements into clear product requirements, user stories, acceptance criteria, and development plans. * Work closely with Data Scientists, Data Engineers, AI Developers, and Media Technology teams to deliver innovative solutions. * Lead backlog refinement, sprint planning, and prioritization activities. * Ensure development teams are aligned on priorities and empowered to deliver value efficiently. * Create and maintain product documentation, roadmaps, stakeholder communications, and presentations. * Identify opportunities to leverage AI and emerging technologies to enhance products and user experiences. * Drive collaboration across multiple teams to ensure products are scalable, connected, and aligned with business goals. * Champion continuous improvement and help shape the evolution of our growing product ecosystem. ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Building an agentic software factory: How we rebuilt product development at Pipedrive](https://www.wearedevelopers.com/videos/100261-building-an-agentic-software-factory-how-we-rebuilt-product-development-at-pipedrive) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)