Product Owner

London, England, United Kingdom

Description

Datatonic is seeking exceptional professionals to join our fast-growing team in London. We're a team of computer scientists, mathematicians, engineers and physicists, passionate about building the next data and machine learning solutions with our customers. We work closely with our partners, Google Cloud, Looker, and Tableau to help our customers unleash the power of their data.

We're looking for a Product Owner to drive the vision, strategy, and execution of a new machine learning product in the area of personalisation. You'll play a key role in translating technical and engineering excellence into a powerful business solution. Reporting to Founder & CEO, you'll work closely with engineers, data scientists and machine learning experts to co-ordinate and facilitate the build of an innovative machine learning product. This will also necessitate providing insights and key learnings to the business and stakeholders, including partners and customers.

We're seeking a well-rounded top-performer who is analytical, can deftly navigate ambiguity, has excellent communication skills, has used data to create competitive advantage, and has great product instincts.


Your responsibilities for this role may include, but are not limited to:

• Lead an agile scrum team to define and clarify requirements and priorities, working with multiple partners and clients, including technical and business stakeholders

• Own, maintain and communicate a clear product development roadmap in a way that ensures efficient and focused use of development resources

• Refine the product and service vision and requirements based on customer/market needs and business objectives

• Define the minimum viable product, in conjunction with relevant business stakeholders for product launch and successive iterations.

• Support the evolvement of the agile working model, with a focus on continual improvements to drive efficiency and quality by tracking and reporting on the key measures of efficiency / quality across all work streams, providing recommendations for improvements where appropriate.

• Use the various sources of insight metrics available to make informed decisions about product changes/direction.

• Provide clear expectations, direction and guidance to drive high performance across the teams.

Requirements

MINIMUM

BENEFICIAL

Benefits

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