At a Glance
- Tasks: Lead data governance initiatives and ensure compliance with data protection regulations.
- Company: Join a forward-thinking organisation committed to data integrity and innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on continuous improvement and accountability.
- Why this job: Shape the future of data governance and make a real impact in a dynamic environment.
- Qualifications: Experience in data governance frameworks and strong knowledge of GDPR regulations.
The predicted salary is between 70000 - 90000 £ per year.
What you'll be doing:
- Define and implement a robust data governance framework covering data protection, records management, and lifecycle management.
- Establish clear data ownership, accountability, and governance structures across the organisation.
- Develop and maintain policies, standards, and procedures aligned to regulatory and business needs.
- Lead data protection operations including ROPA, DPIA/DTIA governance, and privacy risk management.
- Act as the key operational interface with the external Data Protection Officer (DPO).
- Embed data retention, deletion, and anonymisation practices across systems and processes.
- Provide data governance leadership to business change, integration, and transformation initiatives.
- Oversee data risk across third-party and outsourced providers, ensuring compliance and transparency.
- Identify, assess, and manage data-related risks, supporting audit and regulatory requirements.
- Deliver clear reporting and assurance to senior stakeholders on governance and data protection matters.
- Lead and develop data governance capability across the organisation, including line management of a Data Officer.
- Promote a culture of accountability, continuous improvement, and strong data practices.
What skills and experience you'll bring on this journey:
- Strong experience designing and operating data governance frameworks within a regulated environment.
- In-depth knowledge of GDPR/UK GDPR and its practical application in business operations.
- Hands-on experience with ROPA, DPIAs/DTIAs, data sharing, and privacy risk management.
- Expertise in records management, data retention, deletion, and lifecycle management.
- Experience working with Data Protection Officers and regulatory stakeholders.
- Proven ability to manage data risk and deliver audit and compliance outcomes.
- Experience supporting transformation, integration, or change initiatives.
- Strong understanding of third-party data governance and outsourcing oversight.
- Excellent stakeholder engagement, influencing, and communication skills.
- Experience leading or developing teams and building organisational capability.
Data Governance Manager employer: Cover-More Insurance Services Pty Ltd
As a Data Governance Manager at our organisation, you will thrive in a dynamic work culture that prioritises accountability and continuous improvement. We offer comprehensive benefits, including professional development opportunities to enhance your skills in data governance and compliance, all while working in a supportive environment that values your contributions. Located in a vibrant area, our company fosters collaboration and innovation, making it an excellent employer for those seeking meaningful and rewarding careers.
Contact Details:
Cover-More Insurance Services Pty Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Governance Manager
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We think you need these skills to ace Data Governance Manager
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
