Manager, Data Engineering & Data Science

JFK International Air Terminal LLC•New York, NY

3d•$125,000 - $140,000•Onsite

About The Position

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.

Requirements

Bachelor’s degree in Data Science, Computer Science, Information Systems, Statistics, Mathematics, Engineering, Business Analytics, or a related field
Minimum of 5-8 years of experience in data engineering, data science, business intelligence, analytics, data architecture, or related fields
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 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
Advanced proficiency in SQL and experience working with large datasets and data lake environments
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
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
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

Nice To Haves

Master's degree preferred
Experience with Microsoft Azure data services, Fabric, Azure SQL, Synapse, Data Factory, or equivalent cloud data platforms preferred
Aviation industry experience preferred

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