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At OCLC, we build technology with a purpose: to connect libraries and make knowledge accessible worldwide, because we believe that what is known must be shared. Our teams work with complex global datasets, AI and machine learning, hybrid cloud solutions, and other technologies that connect people and organizations to the information they need. We value the power of unique perspectives and experiences to unlock innovation. At OCLC, your ideas matter, whether you have two years of experience or 20. You’ll learn, create, and problem-solve with technologists, product developers, librarians, researchers, marketing pros, and support teams around the world.
Why join OCLC?
OCLC is consistently recognized as a best place to work by several independent programs. We recognize and reward people and results with a comprehensive Total Rewards package. This means competitive compensation that reflects your unique contributions—performance, experience, and skills—along with exceptional benefits, including best-in-class health coverage, retirement plans with generous company contributions, and a commitment to your overall well-being.
We know the best ideas don’t always happen at a desk. Take a walking meeting around our 100-acre campus or enjoy lunch on the patio. We’re committed to your success—both personally and professionally. Hybrid work environment: For many roles, three days a week on-site, with occasional additional days based on business needs.
Join us in transforming how people everywhere access information and be part of a mission-driven team that makes a global impact.
The job details are as follows:
OCLC is seeking a Senior Technical Manager to lead our Analytics & Data Engineering team supporting WMS reporting and our internal data warehouse and ETL ecosystem. This is a transformative role focused on building a high-performing team, strengthening accountability and delivery predictability, and guiding our modernization from on-prem data/compute to a Snowflake-based platform.
You will manage a team of analytics engineers, ETL engineers, and developers responsible for Power BI reporting, dbt-based transformations, and the data pipelines and practices that ensure trusted, well-governed analytics across the organization.
Major Responsibilities:
People Leadership & Team Development
- Lead, coach, and develop a large team setting clear expectations, create accountability, and ensure consistent follow-through on commitments.
- Establish a culture of ownership, quality, collaboration, and continuous improvement; provide timely feedback and address performance issues directly.
- Drive career development through growth plans, mentoring, skills development, and opportunities for technical leadership across reporting and data engineering work.
Delivery Leadership & Execution Management
- Own delivery outcomes for reporting, data warehouse, and ETL initiatives—ensuring work is planned, executed, and completed with high quality and predictable timelines.
- Implement strong agile practices: healthy backlog management, multi-sprint planning, quarterly roadmap alignment, dependency/risk tracking, and stakeholder-ready status communication.
- Balance roadmap delivery with operational support, defect reduction, and technical debt, using clear prioritization and capacity planning.
- Analytics Platform Strategy, Governance & Cost Management (Snowflake and Cloud Consumption)
- Lead the team’s contribution to OCLC’s migration from on-prem to Snowflake, including operating model changes, standards, and adoption of best practices.
- Establish and enforce governance practices for analytics data: access controls, data classification, documentation, lineage, and data quality expectations.
- Partner with architecture, security, and finance stakeholders to manage Snowflake and Azure PowerBI cost drivers (compute/storage), implement guardrails, and drive optimization (warehouse sizing, scheduling, monitoring, and usage patterns).
Technical Oversight (hands-on optional; leadership required)
- Provide technical direction and review for dbt modeling patterns, testing, orchestration approaches, and deployment practices.
- Ensure Power BI reporting is scalable and supportable through shared datasets/semantic consistency, metric definitions, and reusable data products.
- Improve operational excellence through monitoring/alerting, incident response practices, and root-cause remediation for pipeline and reporting issues.
- Development using React and other modern tools for our front end applications.
Minimum Qualifications:
- Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent experience).
- 8+ years of experience in analytics engineering, data engineering, BI/reporting, or data platform engineering.
- 5+ years of people management experience leading technical teams, including coaching, performance management, and team development.
- Demonstrated success improving delivery predictability and accountability for technical teams (planning beyond a single sprint, driving work to completion).
- Strong knowledge of data warehousing concepts (dimensional modeling, ELT/ETL patterns, data quality, orchestration).
- Experience supporting business intelligence/reporting programs with stakeholder-facing prioritization and communication.
Desired Qualifications:
- Experience with Snowflake including governance and cost optimization.
- Strong experience with dbt (modeling conventions, testing, documentation, environments, CI/CD).
- Strong experience with Power BI (semantic modeling, datasets, performance considerations, governance).
- Experience modernizing analytics platforms and migrating from on-prem to cloud data platforms.
- Familiarity with data security and privacy practices in analytics environments
Working Conditions: Normal office environment.
ADA/EAA: The above statements cover what are generally believed to be principal and essential functions of this job. Specific circumstances may allow or require some people assigned to the job to perform a somewhat different combination of duties.