General Manager, Health Analytics and Data Engineering

Delta Air Lines, Inc.; Atlanta (GA); On-site; USD 90,000 - 150,000; Full time

Job summary

An established industry player is seeking a General Manager for Health Analytics and Data Engineering. This pivotal role involves leading a talented team of data analysts, scientists, and engineers to deliver actionable insights that enhance employee wellness and operational efficiency. The successful candidate will develop analytics strategies, oversee data collection and processing, and ensure high-quality project delivery. With a focus on innovation, this role offers the opportunity to integrate advanced analytics methods into decision-making processes, fostering a culture of continuous improvement. Join this dynamic environment and make a significant impact on both employee and customer experiences.

Qualifications

• 5+ years of managerial experience in the airline industry or related field.
• Strong background in mixed methods research (qualitative and quantitative).
• Expertise in statistical analysis and data visualization.

Responsibilities

• Lead a cross-functional analytics team to deliver high-quality insights.
• Develop and implement analytics strategies for employee wellness.
• Present findings clearly to technical and non-technical stakeholders.

Skills

Statistical Analysis

Data Visualization

Survey Design

Research Methodologies

Problem-Solving

Analytical Thinking

Communication Skills

Project Management

Education

Bachelor’s Degree in Data Science

Master’s or PhD in Data Science

Tools

R

Python

SQL

Tableau

Power BI

Job description

How you'll help us Keep Climbing (overview & key responsibilities)

Health Analytics and Data Engineering General Manager will lead and manage our Wellness data analytics and engineering teams. They will be responsible for combining both qualitative and quantitative methods to deliver actionable insights that drive business decisions and improve employee and customer experience, operational efficiency, and financial performance. This GM will lead a team of data analysts, data scientists, and data engineers, ensuring the successful execution of analytics projects from start to finish.

Overview & Key Responsibilities:

• Lead and manage a cross-functional analytics team, guiding them to deliver high-quality insights and reports using mixed methods research approaches (both qualitative and quantitative).
• Develop and implement analytics strategies and frameworks to address key business objectives in areas such as employee wellness, predictive analytics (using medical and pharmacy claims), and health plan design.
• Design and oversee the execution of surveys, focus groups, and data modeling to collect and analyze data from multiple sources (e.g., customer feedback, performance data, operational metrics, etc.).
• Collaborate with senior leadership and key stakeholders to understand business needs and translate them into data-driven solutions and actionable insights.
• Manage the process of data collection, cleaning, and processing to ensure high-quality, reliable datasets for analysis.
• Present findings in a clear and compelling manner, creating visualizations, dashboards, and reports to communicate results to both technical and non-technical stakeholders.
• Foster a culture of innovation and continuous improvement by exploring new analytics tools, methodologies, and techniques to enhance team capabilities.
• Ensure that all analytics projects are delivered on time while maintaining the highest standards of quality.
• Mentor and develop team members through coaching, feedback, and professional growth opportunities.
• Oversee the integration of advanced analytics methods, including predictive modeling, machine learning, and AI, into the broader organizational decision-making processes.

What you need to succeed (minimum qualifications)

• Bachelor’s degree in a relevant field (e.g., Data Science, Statistics, Health Economics, Public Health, or a related discipline).
• Proven experience (5+ years) in a managerial role within the airline industry or a related field, with a strong background in mixed methods research (qualitative and quantitative).
• Expertise in statistical analysis, data visualization, survey design, and research methodologies.
• Proficiency in analytical tools and software such as R, Python, SQL, Tableau, Power BI, or similar platforms.
• Solid understanding of the healthcare industry, including experience working with medical and pharmacy claims data.
• Strong problem-solving, analytical, and strategic thinking abilities.
• Experience managing and mentoring a team of data professionals.
• Exceptional communication skills, with the ability to translate complex data into actionable insights for diverse audiences.
• Ability to handle multiple projects simultaneously in a fast-paced, deadline-driven environment.
• A passion for innovation and staying updated on the latest trends and technologies in data analytics and the airline industry.
• Prioritize safety and security of data and individuals.
• Embrace diversity in people, thinking, and styles.
• At least 18 years of age and authorized to work in the United States.

What will give you a competitive edge (preferred qualifications)

• Master’s or PhD degree in a relevant field (e.g., Data Science, Statistics, Health Economics, Public Health, or a related discipline).