[Hiring] Senior Manager Analytics & Decision Systems @LED FastStart

Role Description

The Senior Manager Analytics & Decision Systems is responsible for establishing enterprise analytics capabilities that enable operational, financial, engineering, and executive decision-making across Bollinger Shipyards. This role leads the strategy, governance, and delivery of enterprise reporting, KPI frameworks, dashboards, and self-service analytics capabilities. This leader partners closely with IT and business leadership to ensure analytics are aligned to strategic priorities, operational workflows, and enterprise performance management.

• Define and lead the enterprise analytics and reporting strategy
• Establish and standardize enterprise KPI frameworks across Finance, Operations, Engineering, Supply Chain, and Business Development
• Lead delivery and ongoing enhancement of enterprise executive dashboards and decision-support tools
• Oversee development of Power BI dashboards, semantic models, and self-service reporting capabilities
• Ensure consistency, accuracy, and alignment of operational and financial reporting across the enterprise
• Partner with Data Engineering and Enterprise Architecture teams to ensure reliable, governed, and accessible data
• Drive adoption of analytics tools and data-driven decision-making practices across the organization
• Establish reporting governance, dashboard standards, and analytics development methodologies
• Prioritize analytics initiatives aligned to business value and operational impact
• Lead and develop analytics engineering and BI resources
• Partner with business leaders to identify opportunities for operational improvement through analytics and insight generation
• Monitor analytics adoption, usage, and effectiveness to ensure measurable business value

Qualifications

• Bachelor’s degree in Information Systems, Analytics, Business, Engineering, Computer Science, or related field
• 8+ years of experience in analytics, business intelligence, reporting
• 3+ years of leadership experience
• Proven experience building enterprise analytics programs, KPI frameworks, and reporting capabilities
• Strong experience with Power BI or similar enterprise BI platforms

Requirements

• Experience in manufacturing, industrial, shipbuilding, engineering, or operational environments
• Experience implementing self-service analytics programs
• Familiarity with Azure data and analytics technologies
• Experience supporting operational performance management and forecasting initiatives

Benefits

• 401k
• Dental Insurance
• Life Insurance
• Medical Insurance
• Vision