Manager, Data Engineering & Data Science

JFK International Air Terminal; Hempfield Township (Westmoreland County); On-site; USD 125,000 - 140,000; Full time

Job summary

JFK International Air Terminal is seeking a Manager of Data Engineering & Data Science to lead data engineering, quality, analytics, and ML initiatives. You will guide data architecture and set standards to elevate data maturity and decision-making across datasets.

The role collaborates with IT, Digital, and business leaders to build scalable data solutions that improve operations and customer experience, while translating complex analyses into actionable recommendations for executives.

Qualifications

• Bachelor’s degree required; Master’s preferred.
• 5–8+ years in data engineering, data science, analytics, or data architecture.
• Background check and compulsory security clearances for airport work.

Responsibilities

• Develop and maintain advanced analytics, statistical, and ML models.
• Operationalize predictive insights via dashboards and reporting tools.
• Establish and maintain data quality, validation, governance standards.
• Identify trends and opportunities for data-driven improvements.
• Design, optimize, document, and maintain data pipelines and integrations.
• Translate complex findings into practical recommendations for stakeholders.

Skills

Advanced SQL

Python/R

ETL/ELT

Data lake

Machine learning

Education

Bachelor’s degree in Data Science, Computer Science, Information Systems, Statistics, Mathematics, Engineering, Business Analytics, or related field

Master's degree preferred

Tools

Azure Data Factory

Azure Synapse

Azure SQL

Fabric

Job description

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 QUALIFICATIONS

Education, 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 ABILITIES

Knowledge

• 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 ET