At a Glance
- Tasks: Manage and govern operational data while collaborating with various teams.
- Company: Vanguard, a leader in investment management with a focus on innovation.
- Benefits: Flexible hybrid work, competitive salary, and opportunities for professional growth.
- Why this job: Play a crucial role in ensuring data quality and compliance in decision-making.
- Qualifications: Experience in data management and strong collaboration skills.
The predicted salary is between 63000 - 77000 £ per year.
Vanguard is seeking an Operations Data Steward to govern and manage operational data within FAS Operations.
You will collaborate with risk, privacy, IT and analytics teams, maintain data inventories and lineage, and implement governance controls to support compliant, reliable decision-making.
The role is embedded in FAS Operations with a hands-on approach to data lifecycle management, retention, and remediation, in a hybrid work environment.
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Hybrid Operations Data Steward: Governance & Quality in England employer: Vanguard
Vanguard is an exceptional employer, offering a dynamic and mission-driven work environment in London and Manchester. With a strong focus on employee growth, we foster a culture of collaboration and continuous improvement, empowering our teams to excel in financial crime operations while ensuring compliance and operational excellence. Our hybrid working model provides flexibility, allowing you to balance professional and personal commitments, making Vanguard a rewarding place to build your career.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Operations Data Steward: Governance & Quality in England
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We think you need these skills to ace Hybrid Operations Data Steward: Governance & Quality in England
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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