At a Glance
- Tasks: Lead data operations and manage workflows for proxy research and client delivery.
- Company: Broadridge, a leader in financial services with a focus on innovation.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on quality and client satisfaction.
- Why this job: Join a dynamic team and make a significant impact in data governance and automation.
- Qualifications: 10+ years in data operations, relevant degree, and strong leadership skills.
The predicted salary is between 80000 - 100000 £ per year.
Broadridge is seeking a Head of Global Data Operations in London to lead the data and operational infrastructure for proxy research and client delivery.
Responsibilities include:
- Managing data workflows
- Establishing quality controls
- Supporting client-facing services at scale
The candidate should have over 10 years of experience in data operations, a relevant degree, and proven leadership in complex environments. Exceptional attention to detail and a collaborative mindset are key.
Global Data Operations Leader: Governance & Automation in London employer: SwiftCruit
Broadridge is an exceptional employer that fosters a dynamic work culture in the heart of London, offering employees the chance to lead innovative data operations while collaborating with talented professionals. With a strong emphasis on employee growth and development, we provide comprehensive training and mentorship opportunities, ensuring that our team members thrive in their careers. Our commitment to quality and excellence, combined with a supportive environment, makes Broadridge a rewarding place to work for those seeking meaningful contributions in the financial services sector.
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We think this is how you could land Global Data Operations Leader: Governance & Automation in London
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We think you need these skills to ace Global Data Operations Leader: Governance & Automation in London
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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