Director, Data Engineering -- Benefits Data (Remote)

Gallagher Benefit Services is a trusted partner helping organizations with their people decisions. The Director, Data Engineering will lead the design and implementation of scalable data solutions, oversee a data engineering team, and ensure data quality and governance to align initiatives with business goals.

Responsibilities:

• Develop and execute data engineering strategies to support the organization’s data-driven decision-making and analytics goals
• Lead, mentor, and manage a team of data engineers, providing technical expertise and fostering a culture of innovation, collaboration, and continuous learning and improvement
• Stay updated on emerging trends, technologies, and best practices in data engineering, analytics, and AI to provide ongoing leadership and expertise on data analytics initiatives
• Lead the design, development, and maintenance of scalable data pipelines and architectures to support optimal extraction, generation, transformation, and loading of data from a wide variety of data sources using SQL, Fivetran, Snowflake and Azure technologies
• 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 the latest advancements in AI technologies, tools and methodologies, and recommend their adoption as appropriate
• Oversee the design and development of AI models, algorithms and systems, ensuring they meet quality standards and business requirements
• Support the integration of AI solutions with existing business processes, systems and applications, ensuring seamless functionality and user experience
• Work closely with benefits product and data teams, analysts, and others to enable data-driven decision-making across the organization
• Ensure compliance with data privacy and security regulations, including SOC2, HIPAA, GDPR, CCPA, and other relevant standards
• Engage with legal to evaluate data use agreements and to prompt the restructuring of data relationship to better align to business objectives
• Establish and monitor key performance indicators (KPIs) to measure the success of data engineering initiatives
• Develop data engineering and AI architecture playbooks and best practices and enforce guidelines and standards for coding, testing, and deployment to ensure high-quality and secure deliverables
• Execute across a lean and agile program for execution

Requirements:

• 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
• 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 of 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
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment
• Experience in leading AI initiatives, getting data analytics platform ‘ready for AI', designing, developing, and deployment of AI systems and algorithms
• Knowledge of ethical consideration and legal requirements related to AI, including privacy, security and bias mitigation
• Strong communication and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders
• Benefits, brokerage and consulting industry knowledge
• Strategic thinking and the ability to align technical initiatives with business goals
• Leadership and team-building skills to inspire and guide a high-performing team
• Analytical mindset with a focus on delivering measurable business outcomes
• Adaptability to work in a fast-paced, dynamic environment