Customer Data Solutions Lead

About the Role

Key Responsibilities

• Translate business needs into clear, actionable technical requirements for IT teams
• Coordinate delivery timelines and ensure alignment across IT, DPO, and business teams
• Prototype new core, foundational data sources and help build cases to facilitate IT-productization of those data sources
• Own the end-to-end delivery process, including UAT and stakeholder sign-off
• Triage product defects and support IT in resolution and prioritization
• Shape the roadmap for customer data capabilities in partnership with product manager
• Ensure data products are scalable, reliable, and aligned with enterprise architecture
• Work closely with IT to find opportunities to improve the current data environment to drive efficiencies and future scalability in both traditional EDW environments as well as AWS cloud environments
• Support the creation of enterprise-wide, customer-centric data assets
• Advocate for data quality, consistency, and usability across channels

Requirements

• Able to understand business needs and bridge the gap between those needs and IT
• Strong communication skills and a passion for solving complex data problems
• Understanding of how Delta uses data to drive business decisions, for analytics, and within visualization tools (e.g., Tableau, Excel, Python)
• Proficiency in data querying/modeling and able to write SQL queries from scratch and experience with a scripting language to automate those queries (e.g., SAS, Python)
• Able to build good interpersonal relationships with business partners, business analysts, technology teams, and leadership
• Ability to work well with diverse groups in a time sensitive and team environment with minimal direction
• Be results oriented and capable of meeting or exceeding deadlines with attention to detail and follow through
• Consistently prioritizes safety and security of self, others, and personal data
• Possesses a high school diploma, GED, or high school equivalency
• Is at least 18 years of age and has authorization to work in the United States

Nice to Have

• Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, related field, or 2-3 years of significant work experience in a Business Analysis, Data Analytics, and/or Data Creation role
• At least 4+ years as a data engineer/scientist or related data-manipulation specialty with proven experience processing and creating insights from large data sets
• Understanding of data modeling, data manipulation, and creating enterprise-wide data sets leveraging tools like Spark, NoSQL, DynamoDB, etc.
• Experience with data modeling, ETL pipelines, and API integrations
• Experience in multiple architectural patterns: microservices, REST / GraphQL, containerization, cloud native
• Experience with customer data platforms or personalization systems
• Experience in airline, travel, or customer experience domains

Benefits & Perks

• Paid parental leave
• Paid holidays
• Disability insurance
• Health insurance
• Dental insurance
• 401(k) with generous company contributions up to 9%
• Vacation and paid personal time
• 10 paid holidays per year
• Comprehensive health benefits including medical, dental, vision, disability, and life insurance
• Family care assistance including fertility support, surrogacy, and adoption assistance
• Holistic Wellbeing programs and employee assistance programs
• Domestic and international flight privileges for employees and eligible family members
• Career development programs
• Community service and sustainability initiatives
• Business Resource Groups
• Recognition rewards and awards
• Access to discounts and voluntary benefits through Deltaperks