InfoVision Inc.
Technical Product Owner
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. Visualization Leadership
- Lead development of advanced Tableau dashboards and spatial visualizations that bring network insights to life:
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.
- Track and measure impact of AI and data products on KPIs such as uptime, customer satisfaction, and cost efficiency.