InfoVision Inc.
Tech Product Owner - AI (Basking Ridge)
InfoVision Inc., Basking Ridge, New Jersey, United States, 07920
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.
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.