Senior Manager Analytics & Decision Systems
Full-time
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
Vacancy posted 1 day ago
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