Product Owner

Product Owner – AI & Telecom Network Intelligence Location: Baskin Ridge, NJ Duration: 12+ months WorkBest Category C (at least two days on site per week) Role Summary: We are seeking a Senior Tech Product Owner with deep expertise in telecom networks, AI, and data product strategy to drive transformation through advanced analytics and intelligent automation. The ideal candidate brings Big 5 consulting experience (Ex Accenture, KPMG, PWC etc), combines technical depth with executive presence, and can tell a powerful data story that inspires leadership action. This role owns the product roadmap for AI- and data-driven network intelligence solutions—from dashboards to AI-enabled insights for network performance, coverage, and customer experience. Key Responsibilities: 1. Product Vision & Strategy – AI-Driven Network Data Enablement • Define and lead the roadmap for telecom network data products, driving transformation through AI, ML, and data engineering innovations. • Translate complex network data and KPIs into intuitive, actionable business insights for executives and operations leaders. • Shape strategy to make network data a business enabler—fueling AI-powered decisions in coverage planning, network optimization, and customer experience analytics. 1. AI, Forecasting & KPI Modeling • Partner with data science teams to integrate AI/ML forecasting models (e.g., network load prediction, outage forecasting, demand hotspots). • Deliver KPI modeling frameworks to track performance, availability, and reliability across RAN, transport, and core layers. • Build and manage data products that combine network telemetry, customer data, and external signals for predictive analytics. 1. Visualization Leadership • Lead development of advanced Tableau dashboards and spatial visualizations that bring network insights to life: 1. Data Architecture & AI Integration • Partner with Data Engineering to design scalable pipelines (Snowflake, GCP, or AWS) for ingesting and structuring telecom network data. • Define and manage metadata, lineage, and governance for AI and network data assets. • Ensure AI explainability, transparency, and performance monitoring for deployed models. 1. Stakeholder Engagement & Storytelling Excellence • Serve as the bridge between business executives, data science, engineering, and delivery teams. • Deliver executive-ready presentations that connect network data insights to business impact. • Act as a data storyteller—turning analytics into clear, visual, and persuasive narratives for CxO-level discussions. • Influence through presence: drive alignment, inspire confidence, and simplify complexity across leadership forums. 1. Execution & Delivery Leadership • Lead agile squads focused on AI, data, and visualization products for network and customer domains. • Prioritize roadmap items based on business value, ROI, and network transformation outcomes. • Track and measure impact of AI and data products on KPIs such as uptime, customer satisfaction, and cost efficiency.