Data Delivery Manager

Data Delivery Manager (DigiCert, Inc., Lehi, UT) Lead, mentor, and grow a team of ETL engineers and data delivery specialists. Oversee workload management, performance reviews, and career development plans. Foster a culture of ownership, accountability, and continuous improvement. Establish and enforce best practices in coding, testing, documentation, and operational excellence. Guide the design and delivery of scalable, automated ETL processes that ensure reliable access to critical data. Oversee integration of data from multiple sources into the enterprise data warehouse. Ensure processes are optimized for performance, reliability, and scalability to meet future growth. Implement monitoring, validation, and proactive checks to ensure high data quality and uptime. Partner with infrastructure and operations teams to align on standards for compliance, governance, and security. Collaborate with business leaders to define and prioritize key metrics aligned to strategic objectives. Translate business requirements into clear, standardized KPI definitions and ensure consistent usage across dashboards and reports. Ensure metric design and delivery follow governance standards, creating a single source of truth. Validate KPI outputs with BI and analytics teams to ensure accuracy and usability. Drive adoption of metrics by communicating their value and providing clear documentation. Serve as a strategic partner to cross-functional teams including Finance, Sales, Marketing, Operations, and Compliance. Provide updates, communicate risks, and manage stakeholder expectations on data delivery projects. Anticipate business needs and recommend improvements in data delivery frameworks and metrics strategy. Oversee day-to-day data delivery operations, troubleshooting issues and maintaining SLAs. Identify opportunities to increase automation, reduce manual intervention, and scale pipeline reliability. Drive continuous improvement initiatives for cost efficiency, speed, and delivery quality. Travel required 12% of the time to company headquarters. Position is 100% remote and reports to HQ in Lehi, UT. Salary: $147,500 - $185,000 per year. MINIMUM REQUIREMENTS: Bachelor’s degree or U.S. equivalent in Information Technology, Computer Science, Computer Engineering, Computer Information Systems, or a related field, plus 5 years of professional experience as a Data Analyst, Software Developer, or any occupation/position/job title performing data engineering and ETL development. In lieu of a Bachelor’s degree plus 5 years of experience, the employer will accept 3 years of post-secondary studies in Information Technology, Computer Science, Computer Engineering, Computer Information Systems, or related field, plus 6 years of professional experience as a Data Analyst, Software Developer, or any occupation/position/job title performing data engineering and ETL development. Must also have the following special skills: 5 years of professional experience leading and managing high-performing data delivery or engineering team; 5 years of professional experience architecting, developing, and scaling complex data pipelines and enterprise-grade data warehouse solutions including performance optimization, fault tolerance, and cost efficiency; 5 years of professional experience working with both relational and non-relational databases including advanced SQL proficiency and the application of rigorous data validation and quality assurance practices; 5 years of professional experience implementing and maintaining version control strategies in Linux-based environments including Git workflows, infrastructure automation, and CI/CD pipelines; 5 years of professional experience designing, validating, and governing critical business KPIs and metrics including data accuracy, stakeholder alignment, and metric lifecycle management; 5 years of professional experience designing and deploying automation solutions to enhance pipeline reliability, monitoring, and alerting, using industry-standard tools and best practices; 5 years of professional experience collaborating with technical teams and non-technical business stakeholders translating complex data requirements into actionable solutions and insights; 5 years of professional experience operating within cloud-based data ecosystems including AWS, Azure, and GCP; and 5 years of professional experience leveraging modern ETL/ELT frameworks and orchestration tools (including Airflow, dbt, and Prefect) to design and implement scalable, maintainable, and observable data workflows in complex, production-grade environments. CONTACT: Submit resume online at: or via email to View email address on click.appcast.io. Must specify job code (SSDA).