Senior Manager, Data Science

🕒 4 days ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Signature Aviation

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

🏨 Hospitality

📦 Logistics

✈️ Travel

Hospitality • Logistics • Travel

Signature Aviation is the world’s largest network of private aviation terminals, providing exceptional experiences and essential support to business and private aviation customers. With a presence in over 200 locations across 27 countries on five continents, Signature Aviation offers world-class services including sustainable aviation fuel, custom sales solutions, maintenance, and real estate. As a leading hospitality company within the aviation industry, it ensures a seamless travel experience for customers globally.

📋 Description

• 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