• Employment Type: Full-Time (35-hour week)
• Duration: Continuing Role
• Remuneration: $127,351+ 17% superannuation and leave loading (Level 8)
• Location: Kensington NSW (hybrid)

Why your role matters

The Manager, Electronic Resources & Data Quality plays a critical leadership role in ensuring the accuracy, completeness, consistency, and discoverability of the Library's collection data. This includes, but is not limited to, bibliographic records, digital collection metadata and Indigenous cultural and intellectual property (ICIP) elements.

The Manager leads the development, implementation, and oversite of data quality standards, guidelines, and workflows, leveraging their expertise in library science principles, metadata best practices, and data management technologies. This position leads initiatives to enhance data integrity and interoperability, support data-driven decision-making, and foster a culture of data excellence across the Library with a forward-looking perspective on how Artificial Intelligence (AI) can both impact and enhance data quality standards.

The role of Manager, Electronic Resources & Data Quality reports to the Associate Director, Electronic Resources and has five direct reports. This a replacement role – full time ongoing.

What you will do

• Manage and lead a team of professional staff to build a positive and forward-thinking approach to the delivery of excellence in data quality and electronic resource access
• Develop, implement, and maintain a comprehensive data quality strategy for the library, aligned with institutional goals and industry best practices
• Lead initiatives to update and enhance metadata for Indigenous materials using culturally appropriate terms
• Establish and document data quality standards, policies, and procedures for various data types and systems within the Library environment
• Lead the design and continuous improvement of efficient acquisition workflows
• Oversee and actively participate in data enrichment, and remediation activities to resolve identified data quality issues
• Maintain a high level of knowledge around emerging trends and best practices in data quality management, library metadata standards, cataloguing principles, and relevant technologies.
• Leverage library systems, data analysis tools, and scripting languages to monitor data quality, automate checks, and facilitate data remediation
• Explore, evaluate, and recommend AI/Machine Learning tools and techniques to enhance data quality processes
• Contribute expertise and knowledge and team input to the Library’s strategic planning processes and convene cross-library working groups as required

About You:

• Library qualifications and previous relevant experience in a library environment
• Demonstrated experience leading a team in a changing environment
• Demonstrated high level experience in the use of best practice metadata standards for data quality management, cataloguing principles, and relevant technologies
• Demonstrated understanding of current trends in data, specifically in library environments
• Excellent analytical, problem-solving, and critical thinking skills with a keen eye for detail.
• Exceptional communication (written and verbal), interpersonal, and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
• Familiarity with foundational AI/Machine Learning concepts and their potential application to data quality. Experience evaluating AI tools for data enhancement is a plus

Visa sponsorship is not available for this position. Candidates must hold full ongoing rights to work in Australia to be considered for this position. The role offers flexible working arrangements and is based in Sydney – Kensington campus.

Benefits and Culture:

UNSW offers a competitive salary and access to UNSW benefits including:

• Flexible working
• Additional 3 days of leave over the end of the year period
• Discounts and entitlements

More information on the great staff benefits and culture can be found here.

How to Apply: Please submit your CV and a Cover Letter. You will also be asked to answer the 3 following questions in the application form - you will be able to write your answers in the online form itself once you click "apply" (you will be able to save and return to your answers before submitting):

1. Describe your leadership experience (size of the teams you have managed, how you have kept your team engaged, your leadership style)
2. Tell us how you keep up to date with current trends relevant to this role and what you see as some of the emerging trends
3. Describe a significant initiative you've led or been instrumental in that aimed to proactively improve data quality within a library environment

Applications close: 31 July 7PM

Get in Touch: Alison Neil, [email protected]

Please apply through the application portal and not via the contact above.

UNSW is committed to equity diversity and inclusion. Applications from women, people of culturally and linguistically diverse backgrounds, those living with disabilities, members of the LGBTIQ+ community; and people of Aboriginal and Torres Strait Islander descent, are encouraged. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff. The University reserves the right not to proceed with any appointment.