General Manager, Health Analytics and Data Engineering

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.

Benefits and Perks to Help You Keep Climbing

Our culture is rooted in a shared dedication to living our values - Care, Integrity, Resilience and Servant Leadership - every day, in everything we do. At Delta, our people are our success. At the heart of what we offer is our focus on Sharing Success with Delta employees. Exploring a career at Delta gives you a chance to see the world while earning great compensation and benefits to help you keep climbing along the way:

• Competitive salary, industry-leading prot sharing program, and performance incentives
• 401(k) with generous company contributions up to 9%
• New hires are eligible for up to 2-weeks of vacation. This is earned for use in the following vacation year (April 1 - March 31)
• In addition to vacation, new hires are eligible for up to 56 hours of paid personal time within a 12-month period
• 10 paid holidays per calendar year
• Birthing parents are eligible for 12-weeks of paid maternity/parental leave
• Non-birthing parents are eligible for 2-weeks of paid parental leave
• Comprehensive health benets including medical, dental, vision, short/long term disability and life insurance benets
• Family care assistance through fertility support, surrogacy and adoption assistance, lactation support, subsidized back-up care, and programs that help with loved ones in all stages
• Holistic Wellbeing programs to support physical, emotional, social, and financial health, including access to an employee assistance program offering support for you and anyone in your household, free financial coaching, and extensive resources supporting mental health
• Domestic and International space-available flight privileges for employees and eligible family members
• Career development programs to achieve your long-term career goals
• World-wide partnerships to engage in community service and innovative goals created to focus on sustainability and reducing our carbon footprint
• Business Resource Groups created to connect employees with common interests to promote inclusion, provide perspective and help implement strategies
• Recognition rewards and awards through the platform Unstoppable Together
• Access to over 500 discounts, specialty savings and voluntary benefits through Deltaperks such as car and hotel rentals and auto, home, and pet insurance, legal services, and childcare

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 but not limited to working with medical and pharmacy claims data. Experience working with medical and pharmacy claims data is plus.
• 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.
• Consistently prioritizes safety and security of self, others, and personal data.
• Embraces diverse people, thinking, and styles.
• Is at least 18 years of age and has authorization to work in the United States.

What will give you a competitive edge (preferred qualifications)

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