Job Specifications
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.
2. 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.
3. 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.
4. 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.
5. 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.
6. 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.
About the Company
Infovision, founded in 1995, is a leading global IT services company offering enterprise digital transformation and modernization solutions across business verticals. We partner with our clients in driving innovation, rethinking workflows, and transforming experiences so businesses can stay ahead in a rapidly changing world. We help shape a bold new area or era of technology led disruption accelerating digital with quality, agility and integrity. We have helped more than 75 global leaders across Telecom, Retail, Banking, Hea...
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