Senior Manager Data Science & AI

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

POSITION OVERVIEW

We are seeking a dedicated Senior Manager Data Science & AI with at least 8 years of experience in data science, AI, machine learning, or advanced analytics roles. The candidate will be responsible for establishing and scaling enterprise artificial intelligence, machine learning, and advanced analytics capabilities across Bollinger Shipyards. This role leads the identification, prioritization, development, and operationalization of AI solutions that improve forecasting, bidding, operational efficiency, planning, and decision-making. The role partners closely with business leaders, Data Engineering, Analytics, and Enterprise Architecture to ensure AI initiatives are aligned to strategic priorities and successfully integrated into enterprise operations.

REQUIREMENTS

• Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or related field
• 8+ years of experience in data science, AI, machine learning, or advanced analytics roles
• 3+ years of leadership experience
• Proven experience leading enterprise AI and ML initiatives from concept through operational deployment
• Strong background in statistical modeling, machine learning, predictive analytics, and optimization techniques
• Experience working with large and complex enterprise datasets
• Experience leading technical teams and enterprise-scale initiatives

SKILLS

• Experience in manufacturing, industrial, shipbuilding, engineering, or operational environments
• Experience with Azure AI, ML Ops, cloud AI platforms, and modern AI frameworks
• Familiarity with Generative AI, intelligent automation, and agent-based AI applications
• Experience operationalizing AI solutions within ERP or operational systems
• Knowledge of AI governance, model risk management, and responsible AI practices

RESPONSIBILITIES

• Define and execute the enterprise roadmap for AI, machine learning, and advanced analytics initiatives
• Identify and prioritize high-value AI and predictive analytics use cases aligned to operational and strategic objectives
• Lead development of models supporting forecasting, cost estimation, scheduling, bidding optimization, operational efficiency, and intelligent automation
• Establish standards and governance for model development, validation, deployment, monitoring, and lifecycle management
• Ensure AI and ML solutions are integrated into enterprise workflows and production systems
• Partner with Data Engineering teams to ensure availability of scalable, high-quality datasets for model development
• Collaborate with business leaders to drive adoption and measurable business value from AI capabilities
• Evaluate emerging AI technologies, platforms, and opportunities relevant to Bollinger’s operational environment
• Lead and develop data science and ML engineering resources
• Ensure responsible, secure, and compliant use of AI technologies and enterprise data
• Establish KPIs and performance measures for AI initiatives and operational impact