Product Owner

InfoVision Inc.; Basking Ridge (NJ); Híbrido; USD 100.000 - 130.000; Jornada completa

Descripción de la vacante

A leading technology consultancy in New Jersey is seeking a Senior Tech Product Owner to drive telecom network innovations through AI and data strategies. This role requires a blend of technical depth and executive presence, aiming at creating actionable insights and advanced visualizations. The ideal candidate will lead product roadmaps, manage agile squads, and deliver impactful presentations. This contract position is focused on leveraging advanced analytics to enhance network performance and customer experience.

Formación

• Strong understanding of telecom networks and AI technologies.
• Proven experience in data product strategy and management.
• Excellent communication and storytelling abilities for CxO-level interactions.

Responsabilidades

• Define and lead the roadmap for telecom network data products.
• Translate complex network data into actionable business insights.
• Lead development of advanced Tableau dashboards and visualizations.

Conocimientos

Telecom networks

AI

Data product strategy

Advanced analytics

Data visualization

Agile methodologies

Business development

Data storytelling

Herramientas

Tableau

Snowflake

GCP

AWS

Descripción del empleo

Direct message the job poster from InfoVision Inc.

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

• 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.

Visualization Leadership

• Lead development of advanced Tableau dashboards and spatial visualizations that bring network insights to life:
• 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.
• 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.

Seniority Level

• Mid-Senior level

Employment Type

• Contract

Job Function

• Business Development

Industries

• Software Development