3 of 3 Remote/Hybrid Backlog Prioritisation Jobs in East London

Product Manager

Hiring Organisation
Scouts
Location
East London, London, United Kingdom
Employment Type
Permanent, Work From Home
Job Title: Product Manager Salary: £55,206.18 per annum (inc. Market Supplement and Outer London Weighting) - Band G, Level 3 Location: Gilwell Park, Chingford, London OR Homebased Contract Type : Permanent Working Hours : Full-time (35 ...

SailPoint Product Owner

Hiring Organisation
Data Careers
Location
South East London, London, United Kingdom
Employment Type
Contract, Work From Home
Contract Rate
£600 - £650 per day
month contract. The successful consultant will act as Product Owner for a key SailPoint product, taking responsibility for managing the product backlog, engaging stakeholders, supporting prioritisation, and contributing to regular delivery events including sprint and quarterly planning. This role would suit a Product Owner or Business Analyst with … closely with technical and delivery teams. SailPoint experience would be highly beneficial, but it is not essential. Key Responsibilities Manage and maintain the product backlog, ensuring priorities are clearly understood and reflected in Jira. Work with stakeholders to gather, analyse, and prioritise requirements. Progress the design of already prioritised ...

Product Owner / BA - Data Transformation

Hiring Organisation
Client Server
Location
East London, London, United Kingdom
Employment Type
Permanent, Work From Home
Salary
£95,000
value creation and ensure data investments deliver meaningful business outcomes. Collaborating with senior leaders across the organisation, you will define and prioritise the data backlog, champion a single version of the truth for key business metrics and translate strategic objectives into clear requirements for data and engineering teams. … Business Analyst within a Data, Analytics or BI environment. You know how to elicit, analyse and document technical data requirements, prioritise these within a backlog and map the business processes that underpin them You have a good understanding of a modern data stack (preferably BigQuery, Looker, ETL/ ...