Director, Business Intelligence

Position Title:
Director of Product Technology

Benefits: Medical, dental, vision, 401k, flexible spending account, paid sick leave and paid time off, parental leave, quarterly performance bonus, training, career growth and education reimbursement programs.

Ziply Fiber is a local internet service provider dedicated to elevating the connected livesof the communities we serve. We offer the fastest home internet in the nation, arefreshingly great customer experience,andaffordableplans that putcustomersin charge.

As ourstate-of-the-artfiber network expands, so does our need for team members who can help us grow and realize our goals.

• Genuinely Caring: We treat customers and colleagues like neighbors, with empathy and full attention.
• Empowering You: We help customers choose whatisbest for them,andwesupport employees in implementing new ideasand solutions.
• Innovation and Improvement: We constantly seek ways to improve how we serve customers and each other.
• Earning Your Trust: We build trust through clear, honest,human communication.

As the senior leader for Business Intelligence, you will define and deliver the next generation data and analytics for a growing fiber communications company. This senior leader will transform data into actionable insights that drive revenue growth, operational efficiency, and strategic decision-making across the organization.

The Director of Business Intelligence will own the Business Intelligence (BI) roadmap, data governance strategy, reporting infrastructure, and analytics enablement across departments. This role requires a blend of strategic vision, technical depth, business acumen, and team leadership.

The Essential Duties and Responsibilities listed below are a range of duties performed by the employee and not intended to reflect all duties performed.

• Lead, mentor, and scale a high-performing Business Intelligence (BI) and analytics team.
• Develop and execute a company-wide Business Intelligence strategy aligned with corporate objectives.
• Serve as a strategic partner to executive leadership, providing data-driven insights to influence business decisions.
• Establish a culture of data-driven decision-making across all departments.

• Oversee development of executive dashboards, KPI frameworks, and operational reporting.
• Lead advanced analytics initiatives including predictive modeling, forecasting, segmentation, and scenario analysis.
• Ensure data is accessible, trustworthy, and actionable for stakeholders.
• Translate complex analytical outputs into clear executive narratives that inform strategy and measurable business outcomes.

• Own the vision, strategy, and execution of advanced analytics, machine learning, and AI initiatives across the organization.
• Partner with business leaders to operationalize AI use cases such as predictive modeling, customer churn prediction, demand forecasting, pricing optimization, and automation.
• Establish governance standards for AI model lifecycle management, including monitoring, retraining, explainability, and risk mitigation.
• Drive adoption of AI-powered tools (e.g., generative AI, automated insights platforms) to increase productivity and decision velocity.
• Educate executive and operational stakeholders on AI capabilities, limitations, and ROI expectations.

• Partner with Engineering/IT to ensure scalable data architecture and modern BI tools.
• Implement and enforce data governance standards, definitions, and quality controls.
• Drive improvements in data pipelines, warehouse design, and semantic modeling.

• Work closely with multiple business unit teams to identify analytical opportunities.
• Help define and standardize KPIs across departments.
• Support strategic planning, budgeting, and performance tracking initiatives.
• Establish SLAs for reporting and analytics deliverables.
• Optimize BI processes for efficiency and scalability.
• Ensure that best practices, BI platforms and analytics tools are being leveraged to accelerate time to decisions and ensure scalability for aggressive growth path.

• Bachelor’s degree in Business, Analytics, Computer Science, or related field. leadership roles within data science, business intelligence, or strategy roles.
• Minimum of ten (10) years of overall technology experience, including five (5) years of progressive leadership roles within data science, business intelligence, or strategy roles.
• Proven ability to translate business strategy into measurable analytics frameworks.
• Strong executive communication and storytelling skills.
• Exceptional cross-functional collaboration and stakeholder management skills.
• Strong expertise in SQL and modern BI tools, platforms, and data warehousing concepts.

• Advance degree in related field.
• Experience in telecommunications or high technology organization.
• Background in predictive…