088 - Data and Analytics Senior Product Owner

South East London

7 months ago

Applications closed

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Principal Machine Learning Engineer - Personalisation

Senior Product Owner - Data and Analytics - AGILE - 12 months - INSIDE IR35.

Senior Product Owner (Data and Analytics) required for a 12 month hybrid assignment, with 1 to 2 days per week based in South East London. The Project is centred around the existing Data Science model and propose architecture/model improvements.

The Senior Product Owner you will provide Agile expertise to ensure backlogs are constantly maintained, prioritised, and give full coverage of the requirements, between the development team and the business stakeholders. You will be accountable for ensuring that development work is effectively prepared, scheduled and managed.

Experience in technical systems and data analysis.
Expert knowledge of Data Quality, Data availability and latency, Data Inconsistencies, Data Accuracy
Experience of implementing data & analytics systems and products using Azure tech stack.
Review the existing Data Science model and propose model improvements.
Review the proposed architecture and propose improvements whilst considering our strategy and costs.
Document CI/CD for a machine learning models within the controls of Data and Analytics.
Senior Product Owner is responsible and accountable for the creation and ongoing maintenance of the Product Backlog
Experience of implementing data & analytics systems and products using Azure tech stack
Develop strong, effective backlogs in an agile environment, including gathering requirements, developing effective user stories, and gathering feedback.
Communicate with non-technical stakeholders about complex technical concepts.
Experience in Agile, Sprint cycles and Scrum.
Understanding of DevOps and microservice APIs.
Mentor and support other Product Owners and team members.
Skilled at solving and communicating issues collaboratively, applying knowledge and technology to the full.
An able influencer of the team and of specialist peers within the department, and of customers and business stakeholders at all levels. please send a CV in the first instance

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