Senior AI & Data Science Leader | Enterprise Impact

Bollinger Shipyards, Inc.; Metairie (LA); On-site; USD 160,000 - 210,000; Full time

Job summary

Bollinger Shipyards, Inc. seeks a Senior Manager Data Science & AI with 8+ years of experience to establish and scale enterprise AI capabilities across the organization in Metairie, LA.

You will lead the identification, prioritization, development, and deployment of AI solutions to improve forecasting, bidding, operations, and planning. The role partners with business leaders, Data Engineering, Analytics and Enterprise Architecture to ensure AI initiatives align with strategic priorities and are

Qualifications

• Degree in data science, CS, statistics, engineering or math.
• 8+ years in data science, AI, ML or advanced analytics.
• 3+ years of leadership experience.

Responsibilities

• Define the enterprise roadmap for AI, ML and analytics.
• Identify and prioritize high-value AI use cases aligned to goals.
• Lead model development for forecasting, scheduling and optimization.
• Establish governance for model development, validation and deployment.
• Ensure AI/ML solutions are integrated into workflows and systems.
• Collaborate with Data Engineering for scalable data availability.
• Drive adoption and measurable business value from AI capabilities.
• Evaluate emerging AI platforms and opportunities for operations.
• Lead and develop data science and ML engineering teams.
• Ensure responsible, secure and compliant use of AI.

Skills

Leadership

Strategic planning

Stakeholder management

Model governance

AI risk management

Data storytelling

Education

Bachelor's degree in Data Science, CS, Statistics, Engineering, Mathematics

Tools

Azure AI

ML Ops

ERP integration

Job description

Bollinger Shipyards, Inc. seeks a Senior Manager Data Science & AI with 8+ years of experience to establish and scale enterprise AI capabilities across the organization in Metairie, LA.

You will lead the identification, prioritization, development, and deployment of AI solutions to improve forecasting, bidding, operations, and planning. The role partners with business leaders, Data Engineering, Analytics and Enterprise Architecture to ensure AI initiatives align with strategic priorities and are