Senior Manager, Data Science
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Job Description
Senior Data Science Manager leading AI, machine learning, and analytics for Signature Aviation’s global private aviation network. Building data platforms and coaching a high-performing analytics team.
Responsibilities:
- Design, develop, and oversee scalable ETL/ELT processes supporting enterprise reporting, advanced analytics, machine learning, and AI initiatives
- Partner with IT, HRIS, and business teams to improve data accessibility, reliability, quality, and governance
- Establish standards and best practices for data ingestion, transformation, integration, and quality assurance
- Participate directly in developing and optimizing data pipelines, data models, and analytical datasets
- Ensure analytical solutions use reliable, governed, and well-structured data assets
- Establish executive-level reporting on data science outcomes, model performance, and enterprise impact
- Define success metrics and monitor business benefits from analytics initiatives
- Ensure projects are delivered on schedule, within scope, and with measurable returns
- Advise senior leadership on analytics, AI, and emerging technologies
- Drive adoption of analytical solutions and measurable business impact
- Develop and execute the Operations data science roadmap aligned with company objectives
- Translate business challenges into data-driven strategies and solutions with executive and operational leaders
- Identify and prioritize opportunities for predictive analytics, machine learning, optimization, and AI
- Lead and develop Data Scientists, Senior Analysts, and Analysts
- Provide strategic direction alongside hands-on technical execution and leadership
- Build organizational data science capabilities through coaching, technical development, and succession planning
Requirements:
- 10+ years of experience in a data science or advanced analytics role
- Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or related quantitative field
- 3+ years of experience managing direct reports
- Demonstrated success delivering business value through predictive analytics, machine learning, optimization, or AI initiatives
- Experience applying statistical modeling and machine learning techniques to real-world business problems
- Experience leading cross-functional projects
- Demonstrated leadership and influencing skills
- Experience across the full analytics lifecycle, from data acquisition and transformation through insight generation and operationalization
- Experience deploying advanced analytics, predictive modeling, optimization, and AI-driven solutions into production environments
- Experience designing and maintaining ETL/ELT pipelines and data integration processes
- Experience consuming and integrating APIs for data capture/ingestion
- Experience translating business needs into technical and data requirements
- Advanced proficiency in Python, SQL, and modern data transformation frameworks
- Experience with cloud-based analytics environments and modern data platforms
- Strong understanding of data modeling, data warehousing, and analytics engineering principles
- Experience using GIT for configuration control
- Strong interpersonal, communication, and collaboration skills
- Leadership presence and ability to engage with executive leaders and frontline team members
- Willingness and ability to lead through strategic direction and hands-on technical execution
- Ability to execute amidst competing priorities
- Ability to travel up to 20% of the time
- Ability to communicate complex analytical concepts and model results to non-technical audiences
- Strong business acumen connecting analytical outcomes to operational and financial performance
Benefits:
- Medical/prescription drug, dental, and vision Insurance
- Health Savings Account
- Flexible Spending Accounts
- Life Insurance
- Disability Insurance
- 401(k)
- Critical Illness, Hospital Indemnity and Accident Insurance
- Identity Theft and Legal Services
- Paid time off
- Paid Maternity Leave
- Tuition reimbursement
- Training and Development
- Employee Assistance Program (EAP) & Perks
- Volunteer and community-giving programs
- Professional development resources
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