Our client is seeking a Data Product Owner to lead the development and management of data-driven products within their organisation.
This role offers an exciting opportunity to work with cross-functional teams, including data engineers, data analysts, software developers and business stakeholders.
The successful candidate will be responsible for defining product vision, strategy, and roadmap, as well as prioritising features and enhancements based on user needs and business goals.
Working with the Head of MI Development to deliver high quality data management across Markerstudy.
General
Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, 20% of commercial vehicles and over 30% of motorcycles in total premium levels of circa £1.2b.
The majority of business is written as the insurance pricing provider behind household names such as Co-op, Sainsbury's, O2, Halifax, AA, Saga and Lloyds Bank to list a few and Markerstudy also has a large and growing direct presence in the market as well.
As a Data PO, you will be responsible for leading the development and management of data-driven products within the organization through defining product vision, strategy, and roadmap, as well as prioritizing features and enhancements based on user needs and business goals.
Our leading client has an exciting new vacancy for a Data Product Owner to join an expanding team.
You'll work closely with cross-functional teams, including data engineers, data analysts, software developers and business stakeholders to ensure the successful delivery of data products that drive business value.
Design, build, and automate data flow processes and ELTs to provide comprehensive data from business systems.
General
Our client based near Manchester is looking for a skilled Data Engineer to join their agile team.
In this role, you'll play a pivotal part in designing, building, and maintaining data pipelines, ensuring the integrity and availability of data for various stakeholders, including BI Teams, Analytics, and Data Scientists.