Overview
On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Skills
telecom network data
AI
data product strategy
Geospatial Visualization Leadership
Native Tableau maps
QGIS
geoJSON
Job Details
Role Summary:
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. 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 geospatial dashboards and KPI forecasting to AI-enabled insights for network performance, coverage, and customer experience. Key Responsibilities:
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. 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 geospatial dashboards and KPI forecasting to AI-enabled insights for network performance, coverage, and customer experience. Key Responsibilities:
- 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.
- 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.
- 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.
- 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.
- 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.
- 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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