Product Owner

Overview

Hybrid
Depends on Experience
Full Time

Skills

AI/ML
Telecom Network Expertise
Data Product Strategy
Data Engineering & Cloud Platforms
Visualization

Job Details

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, Google Cloud Platform, 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.
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