Data and ML Product Lead

Data and ML Product Lead – London/ Hybrid £65,000 to £95,000

We’re partnered with one of the UK’s leading brands that are currently hiring for a Data and ML Product Lead. Our client is driven to be the best in the field and outdo with their experience in data and technology. The business has modified the work structure to help the customers, take on new technologies and develop business outclass.

The Data and ML Product Lead will focus on the data and machine learning products and aim to drive the data strategy, development and delivery of the organisation. The position will benefit from hybrid working of 3 days a week onsite from their London office.

Requirements of the Data and ML Product Lead:

- 5+ years’ experience in Data or ML product management with a background delivering data products

- Experience managing and establishing governance

- Strong understanding of Azure products such as Databricks

- Good background in Machine Learning (ML) analytics and deploying products

- Proven ability to mentor teams and lead continuous improvement in the data environment

- Excellent communication skills, attention to detail and self-starter

Responsibilities of the Data and ML Product Lead:

- Drive the Data Product strategy that aligns with the business data strategy and goals.

- Collaborate with stakeholders at different levels to identify opportunities and make sure the product is launched successfully

- Own the full lifecycle of the data products, governance to maintain quality, integrity and consistency of the products

- Track the data product performance to drive continuous improvement

To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant. Additionally, you can contact Dan Freeman @ [email protected]

If you know someone who would be ideal for this role, by way of showing our appreciation, VIQU is offering an introduction fee up to £1,000 once your referral has successfully started work with our client (terms apply).

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