Fidium Fiber is a leading provider of fiber internet and network services, aiming to deliver reliable connections to various communities. They are seeking a dynamic EDW Data & Analytics BI Product Manager to enhance data and analytics capabilities within their Telecom Enterprise Data Warehouse, bridging business and technical teams to translate needs into actionable insights.
Responsibilities:
- 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
- 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
- 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
- Collaborate with engineering teams on data ingestion and transformation pipelines (FiveTran, 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
- 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
Requirements:
- Bachelor's degree in Information Systems, Data Analytics, Computer Science, or related field
- 8+ 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)
- Proven experience with Snowflake (understanding of schema, performance, and data organization)
- Proven experience with FiveTran and Matillion (familiarity with ETL/ELT workflows and data pipelines)
- Proven experience with 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 ability to interpret or validate analytical queries
- Demonstrated ability to manage complex stakeholder relationships and prioritize competing business needs
- Excellent communication and stakeholder management abilities
- Strong analytical mindset with attention to detail
- Strategic thinker who can connect technical capabilities with business value
- Comfortable working cross-functionally in fast-paced, evolving environments
- Passionate about data-driven decision-making and business intelligence excellence
- Experience with Agile/Scrum delivery frameworks and tools (e.g., Jira, Azure DevOps)
- Familiarity with data governance frameworks and metadata management practices
- Previous experience supporting a Telecom EDW or analytics transformation program
- Exposure to data observability, dbt, or data quality frameworks is a plus