Data Manager - London / Hybrid

Data Manager required to join UK medical market leader in a a hybrid role based in London. Ideally you will work 2-3 days a week in the London office.

Duties Include:

• Manage a team of talented engineers, ensuring they are operating in an environment that enables them to be their best.


• Lead the development of data pipelines and enable the development of data powered products that empower stakeholders across the business, inform clinical decision making and enable the company to continuously improve the care provided by the company.


• Work closely with product managers, clinical researchers and stakeholders within a cross functional team to ensure the team is focused on the right goals and challenges which improve the lives of clinicians at the company and beyond.


• Ensure effective technical decision making. You will make sure we have the right structure to enable autonomy and quality of decisions and direction.


• Enable consistent, high quality and high velocity software delivery.


• Improve data quality and flow through proactive identification of underutilised, inconsistent or incomplete datasets.


• Contribute to the systematic improvements of the wider engineering team. They may be related to people management, development processes, technical standards and implementation, or anything else that helps the company build great software.


• Liaise with other engineering managers and peers across the organisation, ensuring effective alignment and collaboration.
  
  Broad understanding of modern Data Engineering practices and paradigms, coupled with the ability to manage a small team.


• Experience in quickly scaling the flow of data across an organisation through the rapid development of high velocity data products using the appropriate platform/tooling to meet business requirements.


• Approach data as a product, with an understanding of the importance of incorporating product thinking into the design of outputs.


• A keen understanding of different approaches and toolsets used to create data products and an openness to try new things.


• Ability to lead change and shift the data architectural paradigm as and when required.


• A deep desire to develop and grow people and a strong understanding of how to do this. Previous management experience would be nice to have, but is not essential.


• An understanding of how to automatically test data pipelines and enable trust in data products.


• A desire to become part of a collaborative environment and share knowledge and learning for the benefit of all.


• A curious mind-set that underpins your continuous drive to challenge the status quo for achieving better outcomes.