EDW Data & Analytics BI Product Manager

Overview

Fidium is where next-generation fiber meets next-level opportunity. With a vision to be America's favorite fiber internet and network services provider, we deliver lightning-fast and reliable connections to families, businesses, and communities.

Backed by one of the nation's top 10 fiber networks, Fidium is driven by a team of 2,500 employees. We champion innovation, integrity, and continuous improvement—empowering every team member to make a meaningful impact.

We are seeking a dynamic and technically skilled EDW Data & Analytics BI Product Manager to drive delivery and enhancement of data and analytics capabilities within our Telecom Enterprise Data Warehouse (EDW). This role bridges business and technical teams—translating business needs into data and reporting solutions that deliver actionable insights.

The ideal candidate will possess strong knowledge of telecom business processes and KPIs
, combined with hands-on understanding of data modeling, BI development, and analytics platforms across the Five Tran, Snowflake, Matillion, Tableau, and Secoda technology stack.

Product & Delivery Management

• Serve as the product owner for Telecom EDW and BI capabilities—defining, prioritizing, and delivering a roadmap aligned with business objectives.
• Lead requirement gathering and elaboration for data, reporting, and analytics use cases across functions such as network, customer, billing, sales, and operations.
• Manage backlog, sprint planning, and delivery milestones for EDW and BI initiatives.
• Coordinate with data engineers, data modelers, and BI developers to ensure on-time, high-quality delivery of solutions.

Stakeholder & Business Engagement

• Act as the primary liaison between business stakeholders and technical teams
  , ensuring clarity, alignment, and value realization.
• Partner with business units to define key metrics, KPIs, and reporting standards
  .
• Conduct data-driven discussions to validate requirements, interpret analytics outputs, and communicate insights.
• Translate complex data concepts into business-friendly language for executive and operational stakeholders.

Analytics, Reporting & Visualization

• Oversee design, development, and deployment of dashboards and reports in Tableau
  , ensuring accuracy, usability, and consistency across the organization.
• Define and maintain data definitions, hierarchies, and governance standards in collaboration with data management teams.
• Partner with business analysts to enhance self-service analytics capabilities
  .
• Drive adoption of standardized BI assets to promote a single source of truth.

Technical & Data Understanding

• Collaborate with engineering teams on data ingestion and transformation pipelines (Five Tran, Matillion, Snowflake).
• Understand and guide data modeling principles (staging, core, and presentation layers) to support analytical and reporting needs.
• Leverage Secoda for data cataloging, lineage documentation, and metadata management.
• Contribute to data quality initiatives
  , ensuring trust in analytics outputs.

Governance & Continuous Improvement

• Partner with the data governance function to ensure alignment with enterprise data standards and compliance policies.
• Identify opportunities for automation, data reuse, and operational efficiency.
• Monitor BI system performance and user adoption; propose enhancements where needed.
• Maintain awareness of industry trends and emerging technologies in data and analytics.

• Bachelor's degree in Information Systems, Data Analytics, Computer Science, or related field
  .
• 4+ years of experience in Data Analytics, BI Product Management, or Data Product Ownership
  —preferably within the Telecom sector
  .
• Proven experience with:
  • Tableau (dashboard design, visualization best practices)
  • Snowflake (understanding of schema, performance, and data organization)
  • Five Tran and Matillion (familiarity with ETL/ELT workflows and data pipelines)
  • Secoda (data catalog and documentation management) or similar tool
• Strong understanding of data modeling concepts (star/snowflake schemas, fact/dimension tables).
• Experience defining and tracking Telecom KPIs (subscriber metrics, churn, ARPU, network utilization, etc.).
• Solid grasp of SQL and…