Here at BNZ, it's about more than just banking. We work together in an agile, energising environment to create innovative solutions through our promise "If you can imagine a better future, let's find a way."We sat down with our Senior Manager - Governance & Business Enablement, and she let us know the following about the role:What are some of the day to day tasks the person in this role will complete?Develop and maintain monitoring over key data quality and information management indicators and providing assurance and feedback to business stakeholders.Support business stakeholders across the enterprise with understanding and executing data quality and data management uplift activities, including providing advice regarding data quality control requirements, management of data issues, and managing data impacts as part of business sponsored change.Design and maintain enterprise artefacts, including standard operating procedures, guidance documents, processes, business-facing pages (e.g., SharePoint) pertaining to data management risk and the uplift of data quality.What attributes will this person display in order to be successful in this role?We are looking for someone who has significant experience with information risk management or data governance.You will also have:Very strong critical thinking and analytical skills.Experience with advanced Excel functions.Excellent communication, both written and oral, with experience in navigating across a range of stakeholders, both technical and non-technical.A self-starter, who is able to work independently but also actively contributes to our positive team culture.Understanding of financial services information related regulations, for example APRA CPG235, APRA CPS234, NZ Privacy Act, EU GDPR, BCBS239.What is the team culture and environment like?The Data Risk team are collaborative pathfinders, helping the business navigate the evolving data risk landscape, connecting people with the guidance and tools to identify and mitigate data risk.What do we want you to know before you apply?This is a hands-on position in the Data Risk Team, providing an opportunity for you to bring your analytical and people skills together to ensure BNZ's data can be trusted, is easily accessible, and can be used to serve our customers and communities well.Nau Mai ki te Peke o Aotearoa | Come to the Bank of New ZealandIf you are keen to join a fun organisation where we are proud of our culture and how we are helping New Zealanders to 'Find their way', then please review the Job Description and show your interest by submitting your application - we can't wait to read it.Please note applications for this vacancy will close on Sunday 13th October at 5pm.Job detailsReference # 148250Posted on 27 Sep 2024Location(s) 80 Queen Street - AucklandExpertise Digital, eCommerce/Analytics, Regulatory, Risk ManagementApplication ProcessIf this is your first time applying for a job at BNZ, it involves a simple two-step process:Registration: Create a user account, and upload your CV and desired employment criteria. You can login anytime to update your details and track your job application status.Application: Complete a quick job-related questionnaire. If you apply for future roles, you'll only need to complete the second step.Applications will be reviewed regularly across the advertising period, but we do reserve the right to close applications early.After you've appliedDepending on which role you have applied for, our recruitment process may vary slightly, but in most cases, will involve the following steps:You'll receive an email acknowledging your application.Our recruitment team will review your application and get back to you within 1-2 weeks of the job closing.If shortlisted, you may be asked to complete some testing relevant to the position you have applied for, and/or be invited to complete a phone or video-based interview.If successful, you'll move through to the interview stage which may include a two-stage individual interview or a group-based assessment centre.Please note, some roles may also require you to complete psychometric, verbal, numeric, and abstract reasoning tests during the recruitment process.
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