Head Of Data
Salary: Up to £85,000 dependant on experience
Role:
My client, an award-winning rapidly growing tech company are looking for a Head of Data to join their team. You will define and lead the execution of the data strategy, building a data team to meet the needs of the business and its future ambitions.
Responsibilities:
• Redefine and execute the data strategy, including data governance, data quality, and data management in addition to monetisation opportunities.
• Working with stakeholders to bring data theories to life in terms of their practical application to gain agreement/input and ensure there is clarity on business benefits and a path to assess benefits realisation, ensuring iterative learning occurs.
• Creation and leadership of a data function providing guidance, direction, and support for day-to-day activities including hands-on work, enabling the team to generate actionable insights that allow the business to improve customer and commercial outcomes
• Assess and adapt reporting/analysis suite making recommendations on improvements as appropriate to secure "buy in" to see these recommendations through to delivery.
• Responsible for provision of tools and SME guidance to generate accurate and timely reporting for internal and external stakeholders.
• Drive a culture of efficiency accessing data, through the retirement of legacy manual reporting processes and effective promotion and embedding of self-service.
• Promote data literacy alongside a culture that considers how we measure the impact of changes, embedding this ethos in development squads and product teams through promotion and provision of robust measurement methodologies.
Key skills required:
* Programme leadership with a proven track record of delivery.
* Experience leading a data team or function.
* Significant professional experience in either data engineering or analysis, ideally within an insurance environment.
* Knowledge of database technology such as Clickhouse, Postgres, MySQL, as well as Cloud Platforms such as AWS, Azure etc.
* Experience with CI/CD, data architectures, pipelines, quality, and code management.
* Experience with Extract, Transform, Load (ETL) processes.
* Experience with common data languages (e.g. Python, Scala), SQL, and data warehouses (e.g. Clickhouse, Redshift, BigQuery, Snowflake, Databricks).
* Experience defining and documenting complex data solutions and processing using JSON, XML (Python or R).
* Experience integrating and working with data visualization tools like Tableau, Qlik, or Power BI.
* Bachelor’s degree in engineering, Mathematics, Science or a related field (or equivalent work experience.
Please apply ASAP to be considered