Senior Manager Data Science & AI

LED FastStart•Raceland, LA

21d•Remote

About The Position

The Senior Manager, Data Science & AI is responsible for establishing and scaling enterprise artificial intelligence, machine learning, and advanced analytics capabilities across Bollinger Shipyards. The role leads the identification, prioritization, development, and operationalization of AI solutions intended to improve forecasting, bidding, operational efficiency, planning, and decision-making. The position partners closely with business leaders, Data Engineering, Analytics, and Enterprise Architecture to align AI initiatives with strategic priorities and integrate them into enterprise operations. It leads and develops data science and machine learning engineering resources, establishes standards and governance for AI model lifecycles, and ensures responsible, secure, and compliant use of AI technologies and enterprise data.

Requirements

Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, Mathematics, or a related field.
At least 8 years of experience in data science, AI, machine learning, or advanced analytics roles.
At least 3 years of leadership experience.
Proven experience leading enterprise AI and machine learning 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.

Nice To Haves

Experience in manufacturing, industrial, shipbuilding, engineering, or operational environments.
Experience with Azure AI, MLOps, 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 with 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 machine learning 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 machine learning 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.