About this opportunity
your Jared lists this SENIOR MANAGER DATA SCIENCE & AI (FULLY REMOTE) opportunity in northern, Kentucky. Review the employer’s description below for duties, qualifications and application requirements.
Job description
For nearly a century, Bollinger Shipyards has created a legacy as a leading designer and builder of high-performance marine vessels. We are renowned for delivering top-quality construction, manufacturing, and repair services with a commitment to safety and environmental responsibility.
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
WHY BOLLINGER?
Competitive Pay
Comprehensive Benefits Package
Fully Remote Position
Career Development
Cutting-Edge Projects
Positive Work Environment & Company Values
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.
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.