At a Glance
- Tasks: Lead data management across clinical and research domains, ensuring accuracy and reliability.
- Company: Join Genomics England, a leader in genomic research with a commitment to diversity.
- Benefits: Enjoy a competitive salary, generous holiday, flexible working, and professional development opportunities.
- Other info: Work in a dynamic environment with a focus on continuous improvement and innovation.
- Why this job: Make a real impact on healthcare by improving data quality and governance.
- Qualifications: Significant experience in data management and strong stakeholder management skills required.
The predicted salary is between 64700 - 64700 £ per year.
Senior Data Manager
Lead how data is managed across our clinical and research landscape.
Work with engineers, analysts, researchers and stakeholders to improve data quality, consistency and reliability while delivering data standards and governance at scale.
- What you’ll be doing
- Lead data management across clinical and research domains, ensuring data is accurate, trusted and fit for purpose.
- Develop and embed data management standards, governance and best practices across the organisation.
- Lead data quality initiatives that deliver measurable improvements for the teams using our data.
- Collaborate with engineering, product and research teams to solve complex data challenges.
- Shape our Genomic Research Dataset capability, including processes, tooling and governance needed to curate complex research datasets.
- Work with research partners and internal teams to improve the quality, consistency and usability of incoming datasets.
- Support the development of metadata, reference data and data catalogues to improve discoverability and consistency.
- Shape data management strategy while remaining actively involved in delivery.
- Ensure data management activities align with governance, regulatory and ethical requirements.
- Drive continuous improvement in data management practices across the organisation.
Essential qualifications
- Significant experience in data management, data governance or similar senior leadership roles.
- Strong understanding of data management principles and frameworks such as DAMA DMBOK.
- Experience establishing or improving data governance and data quality practices.
- Experience working with complex, highly regulated or sensitive datasets.
- Excellent stakeholder management skills, with the ability to influence and collaborate across technical and non‑technical teams.
- Ability to balance strategic thinking with hands‑on delivery.
- Nice to have
- Experience working within healthcare, genomics, life sciences or research.
- Knowledge of clinical datasets, healthcare information standards or medical terminology.
- Solid experience working with modern data platforms across on‑premises and cloud environments, ideally AWS.
- Exposure to enterprise data modelling or metadata management.
Compensation and benefits
Benefits include generous holiday, flexible working, pension, life assurance, electric vehicle salary sacrifice, professional development budget, employee recognition programme and health & wellbeing initiatives.
Equal opportunities
Genomics England is committed to providing and supporting an inclusive environment that promotes equity, diversity and inclusion.
We do not tolerate any form of discrimination, harassment, victimisation or bullying at work.
Our policies apply fairly to all people.
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StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Manager (we have office locations in Cambridge, Leeds and London)
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We think you need these skills to ace Senior Data Manager (we have office locations in Cambridge, Leeds and 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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Craft a Tailored Cover Letter:For a full-time role at Genomics England, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
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How to prepare for a job interview at Genomics England
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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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.
