Job Description

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.

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