At a Glance
- Tasks: Lead data quality initiatives for a major pensions programme and enhance validation processes.
- Company: Stellar Omada, a forward-thinking company focused on pensions consolidation.
- Benefits: Remote work flexibility, competitive pay, and opportunities for professional growth.
- Other info: Join a dynamic team dedicated to innovation and excellence in data management.
- Why this job: Make a significant impact on data quality in the pensions sector while working remotely.
- Qualifications: Experience in technical project management and data quality assurance.
The predicted salary is between 59400 - 72600 £ per year.
Stellar Omada is seeking a Senior Technical PM for the data quality workstream on a major pensions consolidation programme.
This hands-on delivery role focuses on tightening validation of inbound employer and payroll files across both platforms and delivering strategies to rectify live production data.
You will drive down file errors and implement an automated revision process, coordinating with teams across legacy and target platforms while operating in an IR35 contracted environment.
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Senior Technical PM: Data Quality for Pensions (Remote) in London employer: Stellar Omada
Stellar Omada is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those looking to make a significant impact in the tech industry. With a focus on employee growth, we offer extensive training opportunities and support for professional development, particularly in cutting-edge technologies like AWS. Our remote UK positions provide flexibility and work-life balance, making it an ideal environment for talented individuals seeking meaningful and rewarding careers.
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We think this is how you could land Senior Technical PM: Data Quality for Pensions (Remote) in London
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We think you need these skills to ace Senior Technical PM: Data Quality for Pensions (Remote) in London
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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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