Data Governance Lead for Banking Compliance & Quality in Sydney

Data Governance Lead for Banking Compliance & Quality in Sydney

Sydney Full-Time 56813 - 69438 $ / year (est.) On-site
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At a Glance

  • Tasks: Lead data governance initiatives and ensure compliance with banking regulations.
  • Company: Teachers Mutual Bank Limited, committed to data excellence and innovation.
  • Benefits: Competitive salary, professional development, and a supportive work environment.
  • Other info: Join a dynamic team focused on building sustainable data capabilities.
  • Why this job: Shape the future of banking data governance and make a real impact.
  • Qualifications: Experience in data governance and understanding of banking regulations.

The predicted salary is between 56813 - 69438 $ per year.

Teachers Mutual Bank Limited is seeking a Data Governance Manager to uplift and embed its Data Governance framework within the Chief Data Office.

You will drive ownership, data quality and governance while aligning with regulatory priorities including EFS reporting and Open Banking.

You'll combine deep governance expertise with regulatory thinking, advising across technology changes, AI, and cross-functional teams to build a mature, sustainable data capability for the bank.

Data Governance Lead for Banking Compliance & Quality in Sydney employer: Teachers Mutual Bank

Teachers Mutual Bank Limited is an exceptional employer that prioritises employee growth and development, offering a collaborative work culture where your contributions directly impact the bank's risk management strategies. Located in a vibrant community, we provide competitive benefits and a supportive environment that encourages innovation and professional advancement, making it a rewarding place to build your career in enterprise risk and governance.

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Contact Details:

Teachers Mutual Bank Recruitment Team

We think you need these skills to ace Data Governance Lead for Banking Compliance & Quality in Sydney

Communication Skills
Problem-Solving Skills
Data Governance
Data Engineering
Python
Data Pipeline Development
SQL