Director, Data Engineering & Analytics

The Director of Data Engineering & Analytics will be responsible for leading the execution of a strategic plan designed to enable O’Reilly to leverage data as a strategic, governed asset. The Director owns the data engineering, business intelligence, enterprise data warehousing, and analytics for the enterprise and works closely with all business areas to deliver a range of data and analytical solutions. This role will formulate and implement key technology and architecture decisions across the data platform ecosystem, foster and establish a strong engineering discipline, hire, develop, and build a strong engineering organization. The Director will work cross functionally on a day-to-day basis, manage a diverse team, focus on execution and possess strong problem solving and communication skills.

ESSENTIAL JOB FUNCTIONS

Provide strong leadership, vision and drive the implementation and development of the organization's data platform, data management, and analytics initiatives.

Demonstrate excellent knowledge of data warehouse principles, analytics, and reporting. Be an expert in data engineering, including building cloud data warehouse platforms (e.g., Snowflake, BigQuery), data marts, data science, and data pipelines.

Build and lead high-performing teams. Recruit, develop, and retain top talent in data engineering and analytics globally. Encourage teamwork and knowledge sharing within the team, across departments and countries.

Build a culture of engineering best practices, emphasizing data engineering standards, guidelines, and processes, data quality, documentation, data governance, service level objectives, and data contracts.

Establish and promote operational excellence through code reviews, documentation, CI/CD pipelines, monitoring, code quality, reusability, and maintainability. Build and maintain a robust data engineering toolchain.

Prioritize and manage projects, deliver data solutions on time and within budget, balancing competing priorities.

Foster a data-driven culture, promote data literacy and analytics throughout the organization, encouraging data-informed decision-making.

Create a comprehensive business intelligence and analytics strategy aligned with business goals.

Establish standardized Business Intelligence Center of Excellence model, development and deployment process. Empower business users with self-service BI capabilities and governance model

Design and implement scalable data infrastructure to support international operations. Implement data localization strategies to meet specific country requirements and local data privacy regulations.

Provide technical guidance and mentorship to the data engineering and analytics team. Resolve complex technical challenges and make informed architectural decisions.

Influence and build strong partnerships with business leaders to drive data-driven decision making. Clearly articulate complex technical concepts to both technical and non-technical audiences.

Develop change management plans to drive adoption of new data solutions. Provide training and support to empower users to leverage data effectively.

Establish data observability practices to ensure data reliability and performance. Define and track key metrics to measure data quality and pipeline health.

Develop data storytelling and visualization capabilities to communicate insights effectively.

Implement data governance framework to manage data access, lineage, and compliance.

Protect data assets from unauthorized access or disclosure. Implement robust security measures, including encryption, access controls, and network security.

Ensure compliance with relevant data privacy regulations.

Optimize data storage, processing and consumption costs while maintaining data accessibility and performance.

Manage budgets and resources, optimize resource allocation to achieve business objectives.

Supervise and train staff, including organizing, prioritizing, and scheduling work assignments

All other duties as assigned.

SKILLS/EDUCATION/KNOWLEDGE/EXPERIENCE/ABILITIES

Required:

Bachelor’s Degree in Computer Science, Information Technology, or Engineering

10+ years of experience in data warehouse, data migration, data engineering and analytics field

6+ years of successful data engineering, or analytics team management experience, including hiring, team member development, performance management, and delivering results

5+ years managing a team of data analysts/engineers/scientists

3+ years managing a team of architect/principal/staff/lead level team members

Demonstrate a deep understanding of SQL and related databases

Deep knowledge of designing and building highly scalable data warehouses, data pipelines, data modeling, designing data lakes and bi