Job Title: Manager, Data Engineering & Data Science
Full-Time Position
Position Overview: The Manager, Data Engineering & Data Science will be a key contributor to the organization's data-driven decision-making capabilities. This role is responsible for the organization's data engineering, data quality, advanced analytics, and machine learning initiatives. In addition, the position will provide guidance for data architecture and is expected to help elevate the organization to the next level of data maturity by setting standards for data quality and insight generation across datasets. The position partners closely with vendors, IT, Digital, and business leaders to establish scalable data solutions that improve operational performance, customer experience, and organizational effectiveness
Reports To: Vice President, Operations
FLSA Status: Exempt
Salary Range: $125,000 - $140,000
ESSENTIAL DUTIES AND RESPONSIBILITIES- Develop and maintain advanced analytical, statistical, and machine learning models that support business objectives
- Partner with the Manager Data Analytics to operationalize predictive insights through dashboards, reporting platforms, and decision-support tools
- Establish and maintain data quality, validation, and governance standards across all systems. Develop and monitor data quality metrics, controls, and remediation processes
- Conduct deep-dive analysis to identify trends, anomalies and opportunities for improvements as needed.
- Proactively identify new opportunities for data-driven improvements and innovation, demonstrating initiative in exploring untapped datasets and analytical approaches
- Collaborate with vendors and manage internal efforts to design, optimize, document, and maintain data pipelines, integrations, and analytical workflows that support scalable and reliable data operations
- Translate complex analytical findings into practical recommendations and business actions for stakeholders at all levels of the organization
- Collaborate with IT, Digital, and external partners to ensure data architecture, infrastructure, and integration projects align with current and future analytical requirements
- Set up and maintain comprehensive documentation for data architecture, data pipelines, business rules, analytical models, and governance processes
- Serve as the organization's subject matter expert on the data lake, analytics, and AI, providing guidance to executive leadership and operational stakeholders
- Define and execute the organization's data roadmap in partnership with business and technology leaders
MINIMUM QUALIFICATIONSEducation, Training, and Experience
- Bachelor's degree in Data Science, Computer Science, Information Systems, Statistics, Mathematics, Engineering, Business Analytics, or a related field; Master's degree preferred
- Minimum of 5-8 years of experience in data engineering, data science, business intelligence, analytics, data architecture, or related fields
Special Requirements
- Must be able to pass a criminal background check and obtain and maintain federally mandated security clearances required to work at an airport.
- Valid Driver's License required
- Valid Passport with ability to obtain travel Visa / Travel Authorization as required
KNOWLEDGE, SKILLS, AND ABILITIESKnowledge
- Knowledge of data engineering, data architecture, data warehousing, and data lake principles
- Knowledge of statistical analysis, predictive modeling, machine learning, and data visualization techniques
- Understanding of data integration, ETL/ELT processes, data transformation methodologies, and data pipeline design
- Knowledge of data governance, data quality management, metadata management, and master data concepts
- Understanding of cloud-based data platforms, analytics ecosystems, and modern data management practices
- Experience and understanding of a wide variety of analytical processes, tools, and approaches
Skills
- Advanced proficiency in SQL and experience working with large datasets and data lake environments
- Experience with Microsoft Azure data services, Fabric, Azure SQL, Synapse, Data Factory, or equivalent cloud data platforms preferred
- Proficiency in Python, R, Alteryx, or similar programming languages for data engineering, analytics, and machine learning applications
- Experience designing, implementing, and supporting ETL/ELT pipelines and data integration solutions.
- Experience with data warehouse, data lake, and data modeling concepts
- Experience working with third-party vendors, software providers, and implementation partners to develop and maintain enterprise data solutions
- Experience with machine learning frameworks and libraries
- Experience with Power BI and Data Analysis Expressions (DAX)
- Understanding of data governance standards
- Strong project management, vendor management, and stakeholder engagement skills
- Active listening skills with the ability to understand business needs and translate them into technical solutions.
- Strong time management, organizational, and prioritization skills
- Sound judgment and decision-making skills, balancing operational, technical, and business considerations
Abilities
- Experience structuring and delivering presentations and communications targeted to company leadership and stakeholders
- Ability to work independently and efficiently, often without direct supervision
- Ability to quickly learn potentially unfamiliar topics
- Excellent verbal and communication skills
- Aviation industry experience preferred
- Comprehend oral information: Listen to and understand information and ideas presented through spoken words and sentences
- Speak: Communicate information and ideas in speaking so others will understand
- Comprehend written information: Read and understand information and ideas presented in writing
- Write: Communicate information and ideas in writing so others will understand
- Recognize problems: Tell when something is wrong or is likely to go wrong
- Reason to solve problems: Apply general rules to specific problems to produce answers that make sense
- Make sense of information: Quickly make sense of, combine, and organize information into meaningful patterns
PHYSICAL CONDITIONS/WORK ENVIRONMENT:The Americans with Disabilities Act prohibits discrimination against a qualified individual with a disability. To be qualified for this position an individual must meet the following standards and/or be able to perform the essential functions and activities. The physical activities for this position involve pulling, pushing, and standing, sitting, stooping, walking, crouching, kneeling, and jumping. While performing the duties of this job, the employee is regularly required to travel from floor to floor and in varying outdoor weather conditions. An individual in this position may be required to lift and/or move more than 25 pounds. The essential sensory and communicative activities include feeling, hearing, and vision abilities to include close vision, distance vision, peripheral vision, depth perception and the ability to adjust focus.
