3 of 3 Part-Time Product Ownership Jobs in the East of England

play a key role in enabling business change through the delivery of Salesforce Financial Services Cloud solutions. You will work closely with business stakeholders, product teams and Salesforce engineering teams to define, shape and support the implementation of end-to-end financial services processes within Salesforce and its integrated … customer and colleague experience through the business process reengineering, modernisation and adoption of automation (including AI). Key Responsibilities Collaborate with business stakeholders, product owners and Salesforce delivery teams to identify and define business needs aligned to Salesforce FSC capabilities Translate business objectives into Salesforce-focused requirements, including epics ...

domain and enterprise data products. Overseeing Data Analysts to support detailed data discovery. Overseeing data modelling for Finance and Enterprise data products. Leading Product Increment planning to break down solutions into Features and Epics for incremental delivery. Designing and implementing scalable data solutions on Azure and Databricks within … assigned domain. Ensuring appropriate engineering standards are applied to maintain data quality, performance and reliability. Duties/Responsibilities Work with Product Owners and Business Analysts to understand Outcomes, refine user stories. Lead solution design for Finance and Enterprise data products, ensuring alignment with enterprise patterns and guardrails. Direct ...

domains implement Group Data standards influencing prioritisation, shaping remediation plans and supporting colleagues to embed new ways of working. You will work closely with Product Owners, SMEs, architects and engineers to define key data attributes and Critical Data Elements (CDEs), drive remediation activity, monitor domain-level quality thresholds … management, data quality, or data analytics roles, with exposure to financial services, insurance, or other highly regulated industries. Awareness of the Data-as-a-Product approach and enterprise data lifecycle, with experience leading domain-level adoption of metadata, data quality, lineage, and access controls as data moves through products ...