Director, Data Engineering -- Benefits Data

About This Role

Lead, mentor, and manage a team of data engineers to design, develop, and implement scalable data partners for the Benefits practice's strategic goals. Ensure the delivery of high-quality, reliable, and secure data while aligning initiatives with business objectives.

Responsibilities

• Develop and execute data engineering strategies to support data-driven decision-making and analytics goals
• Lead, mentor, and manage a team of data engineers, providing technical expertise and fostering innovation and collaboration
• Stay updated on emerging data engineering trends, technologies, and best practices
• Lead the design, development, and maintenance of scalable data pipelines and architectures for optimal extraction, generation, transformation, and loading of data
• Ensure data quality, integrity, and governance across all data engineering initiatives
• Optimize data storage and retrieval processes to improve performance and reduce costs
• Monitor and troubleshoot data pipelines and workflows to ensure seamless operations
• Conduct research and stay up-to-date with advancements in AI technologies, tools, and methodologies
• Oversee the design and development of AI models, algorithms, and systems
• Work closely with benefits product and data teams, analysts, and others to enable data-driven decision-making
• Ensure compliance with data privacy and security regulations (SOC2, HIPAA, GDPR, CCPA)
• Establish and monitor key performance indicators (KPIs) to measure the success of data engineering initiatives

Requirements

• 10+ years of experience in data engineering
• 5+ years in a leadership or technical lead role
• Hands-on experience with Azure cloud platform and its native services
• Proficiency in programming languages such as Python, Java, or Scala
• Expertise in designing and managing data warehouses and databases (e.g., Snowflake, SQL Server)
• Solid understanding and hands-on experience in ETL/ELT processes, data modeling, and data architecture
• Experience with Benefits data sources, data types and processing of enrollment, claims and benefit activity data
• Experience with data governance, security, and compliance standards

Qualifications

• Bachelor’s or Master’s degree in Computer Science, or a related field
• 10+ years of experience in data engineering, with at least 5 years in a leadership or technical lead role

Nice to Have

• Experience in leading AI initiatives, getting data analytics platform ‘ready for AI’
• Knowledge of ethical considerations and legal requirements related to AI

Skills

* Required skills

Benefits