Data Delivery Manager

DigiCert

7d•$147,500 - $185,000•Remote

About The Position

DigiCert is seeking a Data Delivery Manager to lead, mentor, and grow a team of ETL engineers and data delivery specialists. This role involves overseeing workload management, performance reviews, and career development, while fostering a culture of ownership and continuous improvement. The manager will establish and enforce best practices in coding, testing, documentation, and operational excellence. Key responsibilities include guiding the design and delivery of scalable, automated ETL processes, integrating data from multiple sources into the enterprise data warehouse, and ensuring processes are optimized for performance, reliability, and scalability. The role also requires implementing monitoring, validation, and proactive checks for data quality and uptime, partnering with infrastructure and operations teams on standards, and collaborating with business leaders to define and prioritize key metrics aligned with strategic objectives. The manager will translate business requirements into KPI definitions, ensure metric design and delivery follow governance standards, and validate KPI outputs with BI and analytics teams. Driving adoption of metrics through communication and documentation, serving as a strategic partner to cross-functional teams, and anticipating business needs for data delivery improvements are also crucial. The role includes overseeing day-to-day data delivery operations, troubleshooting issues, maintaining SLAs, and identifying opportunities for automation and efficiency. Travel is required 12% of the time to company headquarters. This position is 100% remote and reports to HQ in Lehi, UT.

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.
OR 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.
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.
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.

Responsibilities

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.