Note: The job is a remote job and is open to candidates in USA. Bollinger Shipyards is an industrial and shipbuilding organization seeking a Senior Manager Analytics & Decision Systems to establish enterprise analytics capabilities supporting operational, financial, engineering, and executive decision-making. The role leads analytics strategy, governance, reporting, KPI frameworks, dashboards, self-service capabilities, and analytics team development while partnering with IT and business leaders.
Responsibilities
- 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
Skills
- 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
- Experience implementing self-service analytics programs
- Familiarity with Azure data and analytics technologies
- Experience supporting operational performance management and forecasting initiatives
- Experience in manufacturing, industrial, shipbuilding, engineering, or operational environments
Benefits
- 401k
- Dental Insurance
- Life Insurance
- Medical Insurance
- Vision
Company Overview