Tech Stack
ApolloAWSAzureBigQueryCloudGoogle Cloud PlatformTableau
About the role
- Role: IT Manager, Business Intelligence and Analytics at Brightspeed; leading the BI team to deliver reliable insights
- Lead the execution of the enterprise BI and analytics roadmap in alignment with governance standards
- Oversee development and adoption of standardized enterprise metrics and KPI frameworks across business units
- Partner with stakeholders to understand analytics needs, set priorities, and ensure timely delivery
- Collaborate with Data Engineering to ensure data pipelines, data models, and semantic layers meet BI requirements
- Manage BI tools and platforms (Tableau, Power BI, Looker), ensuring scalability, performance, and user adoption
- Establish and enforce BI development standards, including version control, documentation, and release management
- Oversee vendor management for BI and analytics platforms, including sourcing, contracting, and performance oversight
- Monitor BI solution adoption, user satisfaction, and business impact, making recommendations for improvement
- Provide leadership, mentoring, and performance management for BI team members
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or related field
- 7+ years of experience in business intelligence, analytics, or data strategy execution
- 3+ years of experience managing BI teams with demonstrated success in delivery execution
- Experience delivering enterprise analytics and consolidated KPI frameworks across multiple business units
- Strong understanding of BI tools and platforms such as Power BI, Tableau, Looker, or QlikSense
- Familiarity with data warehousing, dimensional modeling, and data governance principles
- Proven ability to influence business and technical stakeholders at all levels
- Strong leadership, communication, and organizational skills
- Experience delivering BI solutions in complex, cross-functional environments
- Bonus: Experience deploying analytics solutions in cloud-based environments (GCP, Azure, AWS)
- Hands-on familiarity with BigQuery and Power BI
- Knowledge of AI/ML concepts and their integration into BI solutions
- Background in telecom, utilities, or other large-scale, data-rich industries