SENIOR MANAGER DATA SCIENCE & AI (FULLY REMOTE)

your Jared; Northern (KY); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Fully Remote Position

Competitive Pay

Comprehensive Benefits Package

Job summary

Bollinger Shipyards is seeking a Senior Manager Data Science & AI to establish and scale enterprise AI capabilities across the organization. You will lead AI/ML initiatives from concept through deployment, partnering with Data Engineering, Analytics, and Enterprise Architecture to align with strategic priorities and enterprise operations.

The role requires 8+ years in data science/AI, 3+ years of leadership, and a strong background in modeling, optimization, and governance.

Qualifications

• Bachelor’s degree in a related field.
• 8+ years of data science, AI, ML, or analytics.
• 3+ years of leadership experience.
• Proven enterprise AI/ML deployment experience.
• Strong background in statistical modeling, ML, analytics, and optimization.
• Experience with large enterprise datasets.
• Experience leading technical teams and enterprise-scale initiatives.

Responsibilities

• Define and execute the enterprise AI/ML analytics roadmap.
• Identify and prioritize high-value AI use cases aligned to objectives.
• Lead model development for forecasting, cost estimation, scheduling, bidding optimization, and efficiency.
• Establish governance for model development, validation, deployment, and lifecycle.
• Ensure AI/ML solutions integrate into enterprise workflows and systems.
• Collaborate with Data Engineering for scalable datasets.
• Drive adoption and measurable business value from AI capabilities.
• Evaluate emerging AI tech and opportunities relevant to operations.
• Lead and develop data science and ML engineering resources.
• Ensure responsible, secure, compliant AI use of enterprise data.
• Establish KPIs and performance measures for AI initiatives.

Skills

Leadership

Enterprise AI

Forecasting

Modeling

Big data

Team leadership

Azure AI

Governance

Education

Bachelor's degree in a related field

Tools

Azure AI

ML Ops

Cloud AI Platforms

Generative AI

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.