Senior Manager, Data Science

Signature Aviation; Almont (CO); On-site; USD 140,000 - 210,000; Full time

Job summary

Signature Aviation is seeking a Senior Manager, Data Science to lead the Data Science & CI team. You will transform enterprise data into actionable insights, predictive capabilities, and AI-driven solutions that improve operations, guest experience, and financial outcomes.

This player‑coach role balances strategic leadership with hands‑on design and delivery of analytics solutions, data pipelines, ETL processes, ML models, and scalable frameworks while developing a high‑performing team.

Responsibilities

• Design, develop, and oversee scalable ETL/ELT processes for analytics and ML initiatives.
• Partner with business and IT leaders to align data assets, governance, and value.

Job description

JOB DESCRIPTION

Signature Aviation is seeking a Senior Manager, Data Science to join the company’s Data Science & Continuous Improvement (CI) team. As the operator of the largest network of fixed base operators (FBOs) in the world, Signature Aviation sits at the center of the aviation ecosystem with access to complex operational and commercial datasets. The Senior Manager, Data Science is responsible for unlocking the value of that data – transforming it into actionable insights, predictive capabilities, and AI-driven solutions that improve operational performance, guest experience, workforce optimization, and financial outcomes.

This role serves as a player-coach, balancing strategic leadership and people development with direct participation in technical solution development and delivery. The Senior Manager, Data Science will remain hands‑on in the design and development of analytics solutions, data pipelines, ETL processes, machine learning models, and analytical frameworks while coaching and developing a high‑performing team of Data Scientists, Senior Analysts, and Analysts. This leader will also develop collaborative relationships with leaders across the enterprise and ensure that data science solutions are scalable, sustainable, and aligned with measurable business outcomes.

RESPONSIBILITIES

Essential Duties and Responsibilities:

Data Acquisition, Engineering & Integration Leadership

• 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

Business Partnership & Value Realization

• 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