Tech Product Owner - AI

We are seeking a Tech Product Owner with deep expertise in telecom network data, AI, and data product strategy to drive transformation through advanced analytics and intelligent automation This role owns the product roadmap for AI- and data-driven network intelligence solutions—from geospatial dashboards and KPI forecasting 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. Geospatial & Visualization Leadership • Lead development of advanced Tableau dashboards and spatial visualizations that bring network insights to life: • Native Tableau maps and custom QGIS / geoJSON maps • Spatial SQL and PostGIS models for coverage and capacity visualization • Integration of CARTO with Tableau for location intelligence and network risk analysis. • Enable geo-AI insights—such as service heatmaps, tower-level intelligence, and network monetization opportunities. 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.