Description :
Job Title : Data Delivery Manager.
Department : Technology Language Engineering.
Location : Noida, India.
About the Role Introduction the why' :
This is an exciting opportunity to lead a high-performing data delivery team at Oxford University Press (OUP), contributing directly to revenue growth and operational excellence.
As part of Oxford Languages, youll be at the forefront of delivering high-quality data products to global customers, supporting OUPs mission to advance knowledge and learning worldwide.
The role offers a chance to work on impactful projects involving cutting-edge data technologies, automation tools, and AI-driven solutions.
Youll foster a culture of innovation and continuous improvement, while shaping the future of data delivery and quality assurance at OUP.
Opportunity the what :
As Data Delivery Manager, you will :
- Lead a team of internal and external data specialists to deliver high-quality data products.
- Translate strategic goals into actionable team objectives.
- Oversee data import / export operations, metadata structuring, and workflow optimization.
- Implement and enhance QA processes to ensure data integrity and publishing standards.
- Manage team workload, project prioritization, and risk mitigation.
- Drive innovation in data handling, automation, and delivery practices.
- Mentor and develop team members, ensuring professional growth and performance.
- Collaborate with global technology teams and manage third-party service providers.
- Your work will have a direct impact on customer satisfaction, data reliability, and the efficiency of OUPs data operations.
About YouEssential Criteria :
Proven experience managing and empowering technical teams (onsite and remote).Strong background in auditing and embedding manual / automated processes.Expertise in structured data formats (XML, JSON) and related technologies.Deep knowledge of QA methodologies and testing frameworks.Project management experience using Agile and Waterfall methodologies.Desirable Criteria :
Experience working with lexical or language data / systems.(ref : hirist.tech)