Note: The job is a remote job and is open to candidates in USA. Signature Aviation operates a global network of private aviation terminals and is seeking a Senior Manager, Data Science to lead its Data Science and Continuous Improvement team. The role combines strategic leadership and people development with hands-on work developing data pipelines, ETL processes, machine learning models, and AI-driven solutions to improve operational performance, guest experience, workforce optimization, and financial outcomes.
Responsibilities
- Design, develop, and oversee scalable ETL/ELT processes that support 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 the development and optimization of data pipelines, data models, and analytical datasets
- Ensure analytical solutions are built upon 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 realization of business benefits from analytics initiatives
- Ensure projects are delivered on schedule, within scope, and with measurable returns
- Serve as a trusted advisor to senior leadership on analytics, AI, and emerging technologies
- Drive adoption of analytical solutions and ensure measurable business impact
- Develop and execute the Operations data science roadmap aligned with company strategic objectives
- Partner with executive and operational leaders to translate business challenges into data-driven strategies and solutions
- Identify and prioritize high-value opportunities for predictive analytics, machine learning, optimization, and AI solutions
- Lead and develop a team of Data Scientists, Senior Analysts, and Analysts
- Operate as a player-coach by providing both strategic direction and hands-on technical execution and leadership
- Build organizational data science capabilities through coaching, technical development, and succession planning
Skills
- 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 working 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 (Databricks preferred) 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 with the ability to work both independently and with cross-functional teams
- Leadership presence and the ability to confidently engage with executive leaders and frontline team members in formal and informal settings
- Willingness and ability to lead through both 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 with the ability to connect analytical outcomes to operational and financial performance
- Advanced degree preferred
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
Company Overview