Senior Manager Data Science & AI

Bollinger Shipyards; Raceland (LA); On-site; USD 150,000 - 230,000; Full time

Job summary

Bollinger Shipyards is seeking a Senior Manager Data Science & AI to lead enterprise AI, ML, and advanced analytics initiatives across the organization. You will define the strategy, prioritize high-value use cases, and oversee model development from concept to production, partnering with Data Engineering, Analytics, and Enterprise Architecture to deliver measurable impact.

The role emphasizes governance, security, and driving adoption in operations, forecasting, bidding, scheduling, and cost

Qualifications

• 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.

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.

Skills

Leadership

Enterprise AI

Forecasting

Model deployment

AI governance

Azure AI

Generative AI

Data governance

Analytics

ERP integration

Big data

Education

Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or related field

Tools

Azure

ML Ops

ERP systems

Cloud platforms

Job description

Job Title

Senior Manager Data Science & AI

Location

Remote USA

Position Overview

The Senior Manager, Data Science & AI is 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.

Key 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

Qualifications

• 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 And Abilities

• 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

Bollinger is an equal opportunity employer and is committed to providing employment opportunities to minorities, females, veterans and disabled individuals, and without regard to sexual orientation and gender identity.